Pliant Therapeutics Inc Stock price
Is Pliant Therapeutics Inc a Top Scorer Stock based on the Dividend, High-Growth-Investing or Leverman Strategy?
As a Free StocksGuide user, you can view scores for all 9,120 stocks worldwide.
StocksGuide Premium
StocksGuide Unlimited
Key metrics
📘 Market Capitalization
📈 What is it?
Market capitalization shows how much a company is currently worth on the stock market.
🧮 How is it calculated?
🏛️ Why is it important?
It helps classify companies by size (Large, Mid, Small Cap) and indicates their market presence and relative stability.
🧮 Calculation
🎯 What does this mean for investors?
- Large-cap companies tend to be more stable, often pay dividends, but may grow more slowly.
- Smaller firms may offer higher growth potential but come with more volatility.
- Market capitalization is a useful indicator of company size — but not a measure of whether a stock is undervalued or overvalued.
📘 Enterprise Value (EV)
📈 What is it?
Enterprise Value represents the total cost to acquire a company — including its debt and excluding its cash reserves.
🧮 How is it calculated?
(= Market Cap + Net Debt)
🏛️ Why is it important?
EV gives a more complete picture of a company's value than market cap alone and is used in key valuation ratios like EV/FCF or EV/Sales.
🧮 Calculation
🎯 What does this mean for investors?
- Enterprise Value shows the true cost of buying a company, including all financial obligations.
- It is more accurate than just looking at market cap, especially when comparing companies with different levels of debt or cash.
- Professional investors prefer EV-based multiples because they better reflect the company’s full financial footprint.
📘 Net Debt
📈 What is it?
Net Debt shows how much debt remains after subtracting a company’s available cash reserves.
🧮 How is it calculated?
🏛️ Why is it important?
It indicates how dependent a company is on borrowed money and how easily it can service its debt in the short term.
🧮 Calculation
🎯 What does this mean for investors?
- Low or negative net debt signals financial strength and flexibility.
- Companies with strong cash positions are better positioned in crises.
- High net debt increases financial risk — especially in environments with rising interest rates or economic downturns.
📘 Cash
📈 What is it?
Cash represents all liquid assets a company can access immediately — including cash, bank deposits, and short-term investments.
🧮 How is it calculated?
🏛️ Why is it important?
It reflects a company’s financial flexibility and resilience — enabling investments, buybacks, or buffer in downturns.
🧮 Calculation
🎯 What does this mean for investors?
- A strong cash position means greater room for maneuver and crisis resistance.
- Cash-rich companies can invest, pay down debt, or repurchase shares.
- But excess idle cash might indicate a lack of growth opportunities.
📘 Shares Outstanding
📈 What is it?
Shares outstanding represent the total number of a company’s shares currently held by investors — excluding treasury stock.
🧮 How is it calculated?
🏛️ Why is it important?
It’s the basis for key metrics like Earnings Per Share (EPS), Market Capitalization, or the Price/Earnings ratio (P/E).
🧮 Calculation
🎯 What does this mean for investors?
- Fewer shares in circulation typically increase earnings per share — making each share more valuable.
- Share buybacks reduce the number of shares and boost per-share metrics.
- Issuing new shares does the opposite — diluting shareholder value and lowering per-share figures.
📘 Price-to-Earnings Ratio (P/E)
📈 What is it?
The P/E ratio shows how many times a company's earnings per share are reflected in its current share price — in other words, how "expensive" the stock appears relative to its profits.
🧮 How is it calculated?
🏛️ Why is it important?
The P/E ratio is one of the most widely used valuation metrics. It helps investors assess whether a stock appears cheap or expensive compared to its earnings power.
🎯 What does this mean for investors?
- A low P/E may indicate undervaluation — or signal underlying issues.
- A high P/E may reflect strong growth expectations — or an overvalued stock.
📘 Price-to-Sales Ratio (P/S)
📈 What is it?
The P/S ratio shows how much investors are paying for $1 of the company’s revenue – regardless of profitability.
🧮 How is it calculated?
🏛️ Why is it important?
P/S is especially useful for evaluating growth companies or businesses not yet profitable. It reflects how the market values the company’s sales.
🎯 What does this mean for investors?
- A low P/S may indicate undervaluation — or low profitability.
- A high P/S can reflect strong growth expectations — or excessive optimism.
- Especially helpful when evaluating companies where profits are low, volatile, or negative.
📘 Enterprise Value to Sales (EV/Sales)
📈 What is it?
EV/Sales shows how much investors are paying for $1 of revenue — considering not just equity, but also debt and cash. It’s the capital structure–adjusted version of the P/S ratio.
🧮 How is it calculated?
🏛️ Why is it important?
It’s ideal for comparing companies with different levels of debt. It reflects a company's true cost relative to its revenue.
🎯 What does this mean for investors?
- EV/Sales allows for capital structure–neutral company comparisons.
- A lower ratio may indicate undervaluation; a higher one may signal strong growth expectations or overvaluation.
- Especially helpful when evaluating high-growth companies with low or negative earnings.
📘 Enterprise Value to Free Cash Flow (EV/FCF) | ex SBC
📈 What is it?
EV/FCF compares a company’s enterprise value with its free cash flow. The metric therefore shows the multiple of current free cash flow at which a company is valued. EV/FCF ex SBC additionally accounts for stock-based compensation (SBC). While SBC does not represent a direct cash outflow, issuing shares as compensation can dilute existing shareholders. Therefore, SBC is deducted from free cash flow in this adjusted version.
🧮 How is it calculated?
EV/FCF ex SBC = Enterprise Value ÷ (Free Cash Flow (TTM) − SBC)
🏛️ Why is it important?
EV/FCF provides a valuation based on free cash flow and therefore complements earnings-based valuation metrics such as the P/E ratio. The ex SBC version additionally accounts for the economic impact of stock-based compensation and provides a more conservative view from a shareholder perspective.
🧮 Calculation
🎯 What does this mean for investors?
- A low EV/FCF means that enterprise value is low relative to current free cash flow. The reasons should always be considered in the context of the company and its industry.
- A high EV/FCF means that enterprise value is high relative to current free cash flow. This can, for example, reflect high growth expectations or temporarily weak cash generation.
- When SBC is positive and adjusted free cash flow remains positive, EV/FCF ex SBC is generally higher than the standard EV/FCF.
- The metric is particularly useful for companies with relatively stable and predictable cash flows.
- If free cash flow is negative or very low, EV/FCF has limited usefulness and should not be interpreted like a standard valuation multiple.
📘 Price-to-Book Ratio (P/B)
📈 What is it?
The P/B ratio compares a company’s market value to its book value — showing how much investors are paying for each dollar of net assets.
🧮 How is it calculated?
🏛️ Why is it important?
P/B is commonly used for asset-heavy industries like banks or industrials. It helps assess whether a stock is trading above or below its net asset value.
🧮 Calculation
🎯 What does this mean for investors?
- A P/B below 1 may signal undervaluation — or weak profitability.
- A P/B above 1 implies the market expects future value creation (e.g., brand, IP, growth).
- Best used for companies with tangible assets and strong balance sheets.
📘 Equity Ratio
📈 What is it?
The equity ratio indicates what portion of a company’s total assets is financed by shareholders’ equity – in other words, how much it relies on its own capital.
🧮 How is it calculated?
🏛️ Why is it important?
A high equity ratio reflects financial strength and stability, especially during downturns. It’s a key indicator of a company’s solvency and long-term risk profile.
🧮 Calculation
🎯 What does this mean for investors?
- Companies with high equity ratios are generally more resilient and less dependent on external debt.
- Low equity ratios can signal higher risk or aggressive financial strategies.
- Important: Always assess the equity ratio in combination with the return on equity (ROE). This shows not just how stable the company is – but also how efficiently it uses shareholder capital.
📘 Return on Equity (ROE)
📈 What is it?
Return on equity (ROE) shows how efficiently a company uses its shareholders’ equity to generate profit. In other words: how much net income is earned per dollar of equity.
🧮 How is it calculated?
🏛️ Why is it important?
ROE is a core profitability metric. It helps investors understand whether a company delivers attractive returns on the capital provided by its shareholders.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROE indicates that the company is using its capital efficiently and profitably.
- It’s especially meaningful for capital-intensive businesses or firms with high equity bases.
- Important: A very high ROE can also result from high debt levels – always interpret it alongside the equity ratio to assess financial health.
📘 Return on Capital Employed (ROCE)
📈 What is it?
ROCE measures how efficiently a company generates profits from its total capital – including both equity and interest-bearing debt.
🧮 How is it calculated?
It evaluates the return on all capital employed, regardless of how it’s financed.
🏛️ Why is it important?
ROCE is ideal for comparing companies with different financing structures. It shows how well management uses capital to create value for both shareholders and creditors.
🎯 What does this mean for investors?
- A high ROCE means the company uses its capital efficiently – regardless of whether it's funded by debt or equity.
- The higher the ROCE compared to peers, the more value the company creates with its invested capital.
- Especially relevant for capital-intensive sectors like industrials, energy, or infrastructure.
📘 Return on Invested Capital (ROIC)
📈 What is it?
ROIC measures how efficiently a company generates returns from the capital invested in its core operations – regardless of whether the capital comes from equity or debt.
🧮 How is it calculated?
- NOPAT = Net Operating Profit After Taxes
- Invested Capital = Operating assets minus non-interest-bearing liabilities
🏛️ Why is it important?
ROIC is one of the most accurate indicators of capital efficiency. Unlike return on equity, it is not distorted by leverage and shows how much value is created for all capital providers.
🎯 What does this mean for investors?
- A high ROIC shows how effectively a company uses the capital that is truly invested in its core operations.
- Unlike ROCE, ROIC focuses only on the capital that is actively used to run the business – and that requires a return (i.e. interest-bearing).
- Especially useful when comparing companies with large amounts of excess cash or non-interest-bearing liabilities – giving a more realistic picture of capital efficiency.
📘 Leverage Ratio (Debt-to-Equity)
📈 What is it?
The leverage ratio indicates how much a company relies on interest-bearing debt (such as loans and bonds) relative to its shareholders’ equity.
🧮 How is it calculated?
🏛️ Why is it important?
This ratio helps assess a company’s financial structure and risk profile. High leverage can enhance returns – but also increases exposure to interest rate changes and financial stress.
🧮 Calculation
🎯 What does this mean for investors?
- A low leverage ratio signals financial strength and independence.
- A higher ratio can improve returns in good times but increases risk during downturns or rising interest rate periods.
- 👉 Always interpret in the context of industry, capital intensity, and interest rate environment.
📘 SBC | in % Revenue
📈 What is it?
SBC (Stock-Based Compensation) refers to equity-based compensation granted by a company to its employees and executives. The percentage shows SBC relative to revenue.
🧮 How is it calculated?
SBC as % of Revenue = (SBC ÷ Revenue) × 100
🏛️ Why is it important?
Stock-based compensation is a real cost factor for shareholders. It can increase the number of shares outstanding and therefore dilute existing shareholders. The percentage of revenue shows how heavily a company relies on equity-based compensation and how significant this form of compensation is relative to the size of the business.
🎯 What does this mean for investors?
- A lower figure is generally positive: Stock-based compensation is relatively small compared with the company's revenue.
- A high figure can indicate greater reliance on stock-based compensation and a higher potential risk of dilution. However, it is also important to consider whether the company offsets dilution through share buybacks.
- The trend over time should also be considered. A high but declining percentage presents a different picture from a persistently high or increasing percentage.
- A single-digit SBC-to-revenue ratio is not unusual among many growth-oriented and technology companies.
📘 SBC as % of FCF
📈 What is it?
SBC (Stock-Based Compensation) refers to equity-based compensation granted by a company to its employees and executives. The percentage shows SBC relative to free cash flow (FCF).
🧮 How is it calculated?
SBC as % of FCF = (SBC ÷ Free Cash Flow) × 100
🏛️ Why is it important?
Stock-based compensation is a real cost factor for shareholders. It can increase the number of shares outstanding and therefore dilute existing shareholders. The percentage of free cash flow shows how significant SBC is relative to the cash generated by the company. Since SBC is non-cash compensation, it is typically not deducted as a cash outflow when calculating FCF.
🎯 What does this mean for investors?
- A lower value is generally favorable. Stock-based compensation is relatively small compared with the company's cash generation.
- A high value means that SBC represents a significant portion of the company's reported free cash flow, even though SBC itself is non-cash.
- The higher the value, the more significant SBC can be as an economic cost to shareholders, particularly when it results in share dilution.
📘 SBC Growth 1Y
📈 What is it?
SBC Growth 1Y shows how much a company's stock-based compensation has changed compared to the previous year.
🧮 How is it calculated?
🏛️ Why is it important?
SBC Growth shows whether stock-based compensation is becoming more or less significant for shareholders. If SBC increases significantly, it can lead to greater shareholder dilution over time. At the same time, SBC is a non-cash expense that reduces earnings on the income statement but is added back in the cash flow statement.
🧮 Calculation
🎯 What does this mean for investors?
- A high positive value is generally negative, as rising SBC can increase the burden on shareholders, particularly through potential dilution.
- What matters is whether the development of SBC is sustainable over the long term. Some level of SBC is common among many growth and technology companies.
📘 Share Count Growth 1Y
📈 What is it?
Share Count Growth 1Y shows how much the number of shares outstanding has increased or decreased over a one-year period.
🧮 How is it calculated?
🏛️ Why is it important?
The number of shares determines how many shares the company's earnings and assets are distributed across. If the share count decreases, existing shareholders' relative ownership increases. If it increases, existing shareholders are diluted. The metric therefore makes dilution and share buybacks directly visible.
🧮 Calculation
🎯 What does this mean for investors?
- A negative value is generally positive, as the number of shares outstanding is decreasing.
- A positive value indicates dilution of existing shareholders.
- A declining share count is not automatically positive: It also matters at what price the shares are repurchased and how the buybacks are financed.
📘 Shareholder Yield
📈 What is it?
Shareholder Yield measures how much capital a company returns to shareholders or uses to reduce debt relative to its market capitalization. It goes beyond dividend yield by also including share buybacks and debt reduction.
🧮 How is it calculated?
🏛️ Why is it important?
Dividend yield only tells part of the story. Companies can also return capital through share buybacks, while reducing debt can strengthen the balance sheet. Shareholder Yield combines all three components into one metric, giving investors a broader view of how a company uses its capital.
🧮 Calculation
🎯 What does this mean for investors?
- A higher Shareholder Yield generally indicates more capital being returned to shareholders or used to reduce debt.
- The mix matters: dividends, buybacks, and debt reduction can affect shareholders in different ways.
- Share buybacks are most beneficial when shares are repurchased at attractive valuations.
- Investors should also consider whether dividends, buybacks, and debt reduction are sustainable over time.
📘 Revenue
📈 What is it?
Revenue shows how much a company earns in total from selling its products and services – the gross income before any costs are deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Revenue is one of the key figures to assess a company’s size, market position, and growth potential.
🧮 Calculation
🎯 What does this mean for investors?
- Growing revenue indicates rising demand and can be an early signal of future earnings growth.
- Comparing actual and expected revenue reveals trends in the market environment and analyst sentiment.
- Note: Strong revenue alone isn’t enough – margins and profitability matter just as much.
📘 EBITDA
📈 What is it?
EBITDA stands for “Earnings Before Interest, Taxes, Depreciation, and Amortization.” It reflects a company’s operating profit before the effects of financing, taxes, and accounting depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
EBITDA is widely used to evaluate a company’s operating performance – especially across capital-intensive sectors or international comparisons.
🎯 What does this mean for investors?
- A high or growing EBITDA indicates strong operational profitability – independent of taxes, interest, or accounting methods.
- It’s especially useful for comparing companies across sectors or geographies.
- Important: EBITDA is not a net income figure – it excludes key costs like depreciation and interest.
📘 EBIT
📈 What is it?
EBIT stands for “Earnings Before Interest and Taxes.” It reflects a company’s operating profit after depreciation, but before interest and tax expenses.
🧮 How is it calculated?
🏛️ Why is it important?
EBIT is a core profitability metric that shows how well the company performs in its main business operations – independent of capital structure and tax environment.
🎯 What does this mean for investors?
- A high EBIT indicates strong profitability from the company’s core business – before financial and tax effects.
- It allows better comparison between companies with different debt levels or tax structures.
- Compared to EBITDA, EBIT already accounts for depreciation and reflects capital intensity more clearly.
📘 Net Income
📈 What is it?
Net income is the company’s total profit – the amount left after all expenses, taxes, interest, and depreciation have been deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Net income is the most comprehensive measure of a company’s profitability – showing how much actual profit remains after all business and financing costs.
🎯 What does this mean for investors?
- Growing net income indicates that the company is managing all of its costs efficiently.
- It directly influences valuation metrics like P/E ratio and the company’s dividend capacity.
- Over time, net income trends reveal how resilient and profitable the business model really is.
📘 Free Cash Flow (FCF) | ex SBC
📈 What is it?
Free cash flow shows how much cash remains after a company has covered its operating and capital expenditures. FCF ex SBC additionally deducts stock-based compensation (SBC) to adjust the cash flow for the effect of non-cash SBC.
🧮 How is it calculated?
Free Cash Flow ex SBC = Operating Cash Flow − SBC − Capital Expenditures (CAPEX)
🏛️ Why is it important?
FCF reflects a company’s actual financial strength – independent of reported accounting earnings. It shows how much flexibility a company has for dividends, share buybacks, or debt reduction. FCF ex SBC also deducts stock-based compensation and shows how much cash generation remains after SBC.
🧮 Calculation
🎯 What does this mean for investors?
- High free cash flow indicates that a company has strong financial strength – independent of reported earnings.
- It is often a solid basis for sustainable dividends and share buybacks.
- Declining FCF can be a warning sign, even if reported earnings remain stable.
📘 Revenue Growth
📈 What is it?
Revenue growth shows how much a company’s sales have changed compared to the previous year – both on a trailing basis (TTM) and based on forward projections.
🧮 How is it calculated?
Forward = (Expected revenue ÷ Revenue in prior year − 1) × 100
Forward growth is based on analyst estimates for the current fiscal year.
🏛️ Why is it important?
Rising revenue signals growing demand, business expansion, and market share gains – especially important for growth-oriented companies.
🎯 What does this mean for investors?
- Growth is the engine of long-term value creation – especially in tech and growth sectors.
- What matters is not just current growth, but its sustainability.
- Forward projections reflect whether analysts expect continued momentum – or a slowdown.
📘 EBITDA Growth
📈 What is it?
EBITDA growth shows how much a company’s operating profit (before interest, taxes, depreciation, and amortization) has increased or decreased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBITDA ÷ EBITDA from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
Growing EBITDA indicates improving operational profitability – regardless of financing or accounting effects.
🎯 What does this mean for investors?
- Strong EBITDA growth signals operational efficiency and scalability – especially during growth phases.
- EBITDA growth can be an early indicator of margin and earnings expansion – but should be assessed alongside revenue and EBIT.
📘 EBIT Growth
📈 What is it?
EBIT growth shows how much a company’s operating profit (after depreciation, but before interest and taxes) has increased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBIT ÷ EBIT from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
EBIT growth is a direct indicator of a company’s business performance – taking into account capital intensity through depreciation.
🎯 What does this mean for investors?
- Rising EBIT signals improving operating profitability – even after accounting for depreciation.
- It’s especially important for evaluating companies with significant capital expenditures.
- Combined with revenue and EBITDA growth, EBIT growth provides a well-rounded view of operational progress.
📘 Net Income Growth
📈 What is it?
Net income growth shows how much a company’s bottom-line profit has increased or decreased compared to the previous year – both on a trailing basis (TTM) and based on analyst projections.
🧮 How is it calculated?
Forward = (Expected net income ÷ Net income from prior year − 1) × 100
The forward estimate reflects analysts’ expectations for the current fiscal year.
🏛️ Why is it important?
Net income is the ultimate measure of profitability. Growing net income signals stronger efficiency, cost control, and sustainable earnings power.
🎯 What does this mean for investors?
- Stronger net income boosts valuation, dividend potential, and investor confidence.
- If profits stall while revenue grows, it may signal margin pressure.
📘 Free Cash Flow Growth
📈 What is it?
Free cash flow (FCF) growth shows how a company’s available cash – after covering operating expenses and capital expenditures – has changed compared to the previous year.
🧮 How is it calculated?
🏛️ Why is it important?
Free cash flow reflects real financial strength. Growing FCF indicates more flexibility for dividends, share buybacks, and reinvestment.
🧮 Calculation
🎯 What does this mean for investors?
- Declining FCF may point to rising investments, increasing costs, or weaker operating performance.
- Especially for dividend investors, FCF growth is critical – since dividends are paid from actual available cash.
- A negative trend isn't always bad, but it deserves closer attention.
📘 Gross Margin
📈 What is it?
Gross margin shows how much of a company’s revenue remains after deducting the direct costs of goods sold (like materials and production). It represents the company’s “raw profit” before fixed costs, taxes, and interest.
🧮 How is it calculated?
Or simply: Gross Margin = Gross Profit ÷ Revenue × 100
🏛️ Why is it important?
Gross margin indicates how efficiently a company can produce or procure what it sells. It is a key measure of product-level profitability and pricing power.
🎯 What does this mean for investors?
- A high gross margin suggests strong pricing power and efficient production.
- Falling margins may signal rising input costs or competitive pressure.
- Compared to peers, gross margin offers insights into the quality of a business model.
📘 EBITDA Margin
📈 What is it?
The EBITDA margin shows how much of a company’s revenue remains as operating profit before interest, taxes, depreciation, and amortization.It reflects operating efficiency without being distorted by financing or accounting factors.
🧮 How is it calculated?
🏛️ Why is it important?
The EBITDA margin reveals how much operating income a company generates per dollar of revenue – independent of capital structure and tax effects.
🎯 What does this mean for investors?
- A high EBITDA margin reflects strong core profitability – before accounting distortions.
- It allows for effective comparisons across companies and sectors.
- A stable or growing margin signals efficient cost control and business scalability.
📘 EBIT Margin
📈 What is it?
The EBIT margin shows what percentage of revenue remains as operating profit after depreciation but before interest and taxes.
🧮 How is it calculated?
🏛️ Why is it important?
The EBIT margin reflects a company’s core profitability while accounting for capital intensity (e.g. machinery, infrastructure). It’s especially useful for comparing businesses with different levels of depreciation.
🎯 What does this mean for investors?
- A high EBIT margin shows that the company remains efficient even after factoring in depreciation.
- It’s especially relevant for capital-intensive industries.
- Stable or rising EBIT margins over time are a strong indicator of pricing power and business quality.
📘 Net Margin
📈 What is it?
Net margin shows how much of a company’s revenue remains as bottom-line profit after deducting all costs, interest, taxes, and depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
Net margin reflects a company’s overall efficiency – across operations, financing, and taxation. It shows how much actual profit is generated from each dollar of revenue.
🎯 What does this mean for investors?
- A high net margin means the company is not only strong operationally but also manages financing and taxes efficiently.
- Peer comparisons reveal business quality and competitiveness.
- Declining margins despite revenue growth can be a red flag for rising costs or inefficiencies.
📘 Free Cash Flow Margin | ex SBC
📈 What is it?
The Free Cash Flow Margin shows how much free cash flow a company generates relative to its revenue. In simplified terms, free cash flow is calculated as operating cash flow minus capital expenditures. The Free Cash Flow Margin ex SBC additionally accounts for stock-based compensation (SBC). While SBC does not represent a direct cash outflow, issuing shares as compensation can dilute existing shareholders. Therefore, SBC is deducted from free cash flow in this adjusted metric.
🧮 How is it calculated?
Free Cash Flow Margin ex SBC = (Free Cash Flow − SBC) ÷ Revenue × 100
🏛️ Why is it important?
The Free Cash Flow Margin shows how efficiently a company converts its revenue into free cash flow. Strong free cash flow can provide financial flexibility for dividends, share buybacks, debt repayment, or further investments. The ex SBC version additionally accounts for the economic impact of stock-based compensation and therefore provides a more conservative view of cash generation from a shareholder perspective.
🎯 What does this mean for investors?
- A high Free Cash Flow Margin shows that a company converts a high proportion of its revenue into free cash flow.
- This can provide greater financial flexibility for dividends, share buybacks, debt repayment, or investments.
- The Free Cash Flow Margin ex SBC additionally accounts for potential shareholder dilution from stock-based compensation.
- The long-term trend is particularly important. Declining margins can, for example, result from higher investments, changes in working capital, or weaker operating performance.
📘 Earnings per share (EPS)
📈 What is it?
Earnings per Share (EPS) shows how much profit is attributable to a single share – and is one of the most important metrics for evaluating a company's performance.
🧮 How is it calculated?
The diluted share count reflects potential new shares that could be issued through options, convertible bonds, or other rights.
🏛️ Why is it important?
EPS is the basis for many key valuation metrics like P/E ratio, PEG ratio, or payout ratio. It enables comparisons of profitability across companies, regardless of their size.
🎯 What does this mean for investors?
- EPS captures per-share profitability and is especially useful for comparisons over time or with analyst estimates.
- Rising EPS may signal consistent growth or share buybacks.
- Important: Always use diluted EPS for more realistic valuations – especially in companies with stock-based compensation.
📘 Free cash flow per share (FCF per share)
📈 What is it?
Free Cash Flow per Share shows how much free cash flow a company generates per outstanding share – after investments, but before dividends or debt repayments.
🧮 How is it calculated?
Free cash flow is calculated as operating cash flow minus capital expenditures (CapEx).
🏛️ Why is it important?
FCF per Share reveals how much real cash is available per share – useful for dividends, buybacks, or reducing debt. Unlike net income, free cash flow is harder to manipulate and often seen as a more reliable metric.
🧮 Calculation
🎯 What does this mean for investors?
- High FCF per share signals strong financial flexibility.
- It shows how much capital the company can effectively reinvest or return to shareholders.
- Particularly relevant for dividend payers and capital-efficient businesses.
📘 Short interest
📈 What is it?
Short interest indicates how many shares of a company are currently sold short – that is, borrowed and sold by investors who expect the price to decline.
🧮 How is it calculated?
It reflects the percentage of a company’s shares that are being shorted relative to the total shares available.
🏛️ Why is it important?
Short interest serves as a sentiment indicator: A high value may signal skepticism or bearish expectations – but also increases the potential for a short squeeze if prices rise unexpectedly.
🧮 Calculation
🎯 What does this mean for investors?
- Low short interest usually indicates market confidence in the company.
- High short interest can be a warning sign – or an opportunity if sentiment shifts.
- Especially relevant in volatile markets or ahead of key earnings releases.
📘 Employees
📈 What is it?
The employee count shows how many people a company employs worldwide – offering insights into its size, structure, and business model.
🧮 How is it calculated?
🏛️ Why is it important?
It helps assess operational scale, labor intensity, and cost structure. Combined with revenue and profit, it enables key metrics like revenue per employee or productivity.
🧮 Calculation
🎯 What does this mean for investors?
- A high headcount can signal operational complexity – but also significant growth capacity.
- Revenue per employee is a key indicator of efficiency.
- Especially useful for comparing tech, industrial, or service-heavy companies.
📘 Revenue per employee
📈 What is it?
Revenue per employee indicates how much revenue a company generates on average per employee – a key measure of efficiency and productivity.
🧮 How is it calculated?
The employee count is typically taken from the most recent annual report.
🏛️ Why is it important?
This metric helps compare business models – especially between labor-intensive and technology-driven companies. A high value suggests automation, operational efficiency, or strong value creation per head.
🧮 Calculation
🎯 What does this mean for investors?
- A high revenue per employee indicates a scalable and margin-strong business model.
- A low figure may reflect labor-intensive operations or lower value-add.
- Especially helpful when comparing tech companies to industrial or service sectors.
Pliant Therapeutics Inc Stock Analysis
Analyst Opinions
10 Analysts have issued a Pliant Therapeutics Inc forecast:
Analyst Opinions
10 Analysts have issued a Pliant Therapeutics Inc forecast:
Pliant Therapeutics Inc Events
Past Events
|
MAY
19
RBC Capital Markets Global Healthcare Conference 2026
5 months ago
|
|
FEB
25
Oppenheimer 36th Annual Healthcare Life Sciences Conference
7 months ago
|
|
DEC
4
Piper Sandler 37th Annual Healthcare Conference
10 months ago
|
StocksGuide Free
Pliant Therapeutics Inc — RBC Capital Markets Global Healthcare Conference 2026
1. Question Answer
Senior biotech analyst here at RBC Capital Markets. Our next presenting company is Pliant Therapeutics, represented by the President and CEO, Bernard Coulie. Bernard, thanks again for being here.
Thank you. Thanks for having us.
So maybe let's kick things off on 095. You guys had updated the dose escalation data recently at the AACR conference. Can you maybe talk a little bit about maybe the program overall and what you guys are seeing with regards to longer follow-up and responses in patients still on treatment that has, I guess, continued to foster enthusiasm around the program.
Yes, absolutely. So 101095 is a small molecule, so twice daily dosing, oral. It's an integrin blocker, av?8, av?1, 2 key integrins in the tumor microenvironment. av?8 is expressed on both tumor cells as well as inflammatory cells and av?1 is expressed on. So the idea behind or the hypothesis behind the program is blocking TGF-? in terms of converting from latent to active or even blocking the interaction between TGF-? and its receptor because TGF-? is thought to be a key driver of immune exclusion in these tumors in response to checkpoint inhibitors.
And so the first kind of hypothesis is like by blocking the conversion of TGF-?, we will resensitize refractory tumors. Tumors -- I mean, refractory to checkpoint inhibitors. So the initial data set in December, which was a very small Phase Ia, 16 patients in total, 5 different dose cohorts, we started to see -- from the mid-dose on, we started to see interesting responders. And so we had 4 out of 13 patients that had a response. One was a complete, 2 -- 3 were partial responders.
At that time, median duration of response was 15 months. Average tumor reduction in terms of size was around 70%, if I remember well. But what was even more interesting was that the design of the study is such that you give 14 days of monotherapy with a small molecule followed by a rechallenge with an ICI, KEYTRUDA in our case.
And so what we saw was that after 14 days with just our drug, in the responders only, we saw this surge of interferon gamma. So it went up anywhere between 3 and 12x versus baseline over a very short period of time. The complete responder, which is a cholangiocarcinoma, which went through 5 lines of therapy and was progressing actually had the 12x surge in terms of interferon gamma.
So at AACR, we presented an update on this study. I mean -- and by the way, the drug is well tolerated. I mean, safe. We didn't see any major side effects except rash in about 40% of patients, which was mild to moderate. So the updated AACR that was given by Tim Yap, Dr. Yap at MD Anderson -- from MD Anderson.
In the meantime, the average duration has increased to 19 months. Actually, the cholangiocarcinoma patient has passed 24 months now. So it's 2 years complete response for a cholangio patient, I think average PFS is less than 3 months, right?
So the second patient is a melanoma patient. That patient has passed, I think, 80 weeks now. The third non-small cell was a -- turned out, and this was also an update at AACR was actually a complete responder in the target lesion, but a confirmed partial responder in a nontarget bone lesion. Now we never did a PET ligand, a PET study to see if that was actually a true met or not, so -- which is unfortunate, but it's what it is. That patient started to progress after week 58. So that's not a responder anymore. And again, safety, same. So very, very promising data. So I think based on that, we decided to start our Phase Ib study.
Yes. So let's talk about the Phase Ib a little bit more, the dose expansion cohort, combo, pembro following the 14-day monotherapy run. And just maybe the rationale for going after ccRCC, TMB-High tumors, non-small cell. Just how you guys sort of thought about the optimization of the dosing and the dose levels and indications?
Yes. Maybe starting with the dose. So the dose we're going to use in our Phase Ib, that's actually ongoing. First patient in was announced a couple of weeks ago. And actually, in the meantime, patients -- we have additional patients that were enrolled.
The dose we're going to move forward, at least in this Phase Ib is 1 gram twice daily. So 1,000 milligrams twice daily. That was the dose at which we started to see the effect in our Phase Ia. So we only had 3 patients at the lower doses, 250 milligram twice daily and 500 milligram twice daily. So it was a rapid dose escalation. So moving forward, the mid-dose from our Phase Ia will be the selected dose for the Phase Ib.
So the rationale behind choosing the different cohorts, non-small cell, out of the 3 patients that were enrolled in the first part of the study where they were non-small cell lung cancer patients, one never got into the combination because it didn't go through DLT period. But the 2 ones that went into a combo, one of which was a complete responder in the target lesion. And the other one was actually at the lowest dose, the primary refractory had stable disease and never responded to ICIs before.
So there is kind of, I would say, hypothesis that these kind of patients may be more susceptible to our approach. So that's the reason to use non-small cell. It's both TMB-High and TMB -- non-TMB-High for the non-small cell ratio of about 60% to 40%.
For the second cohort, that's renal cell carcinoma, this is a prototype tumor for us that has a highly inflamed TME, so tumor microenvironment. So it could be a prototype for HCC, head and neck. And so that's the reason to kind of choose that one because that's where we feel that a TGF-?-based approach makes a lot of sense. And also on top of that, Scholar Rock published actually data with their TGF-? latent TGF-? stabilizing approach, which is an antibody with an ORR of, I think, 25%, if I remember well, in renal cell carcinoma. So there is definitely evidence that TGF-? may be relevant for that type of tumor.
And then the third one is TMB-High, right? We saw 3 out of 4 responders in our Phase I were TMB-high patients. So we're going for a TMB-High cohort as well, which includes melanoma, colorectal, urothelial, endometrial and then of course, biliary tract. So cholangiocarcinoma seems to be a very interesting one that we want to pursue.
And when might we see some initial data from the dose expansion in these indications?
So I mean, starting '27. I mean it's hard to pinpoint a month because let's see how fast it goes and if patients stay on treatment. So again, it's 14 days of run-in in monotherapy and then scans every 9 weeks. So the rechallenge with the ICI happens after at day 14. So first patient is in. So I hope to see data starting in the spring of '27.
And what do you think are the most important elements for discerning 095's monotherapy contribution to activity? Is it the dose dependence that you're seeing? Is it the interferon gamma spike that you wouldn't otherwise see? Are there -- is it too early to benchmark the response rates you're seeing versus what you would expect with pembro alone? I guess what drives the most confidence?
Yes. I mean the ORR is to kind of compare that with historical ORR is a little bit tricky because the sample size is so small and it's a little bit all over the place as it relates to indications, right? And so it's -- I mean we have a bar and we can discuss it, what is the efficacy bar that we want to reach? But coming back to the Phase I, I think the one -- maybe 2 components that I think really provided us the conviction that this made it convincing that this is kind of really working on its own in combination -- I mean it's triggering the effect, and it's not just a challenge of the immune checkpoint inhibitor is the interferon gamma, to your point. I mean it's a one-to-one correlation in terms of the surge in interferon gamma and a response.
And the second one is the durability. I mean the fact that you have a cholangiocarcinoma patient who has passed 24 months now that was progressing...
Progressing...
That's not what you would expect. And I think that -- those are 2 components. The overall ORR was 30%. DCR 60%. So those are very good numbers, but a small sample size. What we haven't published and haven't publicly disclosed our ctDNA levels. We have those for the 4 responders and to say the least, they're very interesting. So there may be something there as well, and this is something that we will measure in our Phase Ib.
And then coming back to the Phase Ib, really kind of coming back to your question, how sure will you be about the effect of the drug itself? It will be the monotherapy 14 days that will learn us a lot in terms of all the different biomarkers we're going to measure. And then, of course, we're going to do tumor biopsies as well at start and then a couple of weeks into treatment because that will help us also to understand which patients are responding from a tumor microenvironment perspective.
And then maybe just a question or two more on 095, and I want to leave some time for the platform as well. So could you envision this being used in patients primarily with increased av?8 expression? Or do you think that just the expression of av?8 is sufficiently broad that you wouldn't necessarily be narrowing the eligible population?
It's an excellent question. And I think the answer will be, let's see what the data, the biopsy data are telling us. av?8 is constitutively expressed on T cells, on T lymphocytes, on activated T lymphocytes. So probably most patients have av?8 in their tumor microenvironment. The question is, what is the relative contribution of that compartment to the overall effect of our drug because av?8 is also expressed on tumor cells, and we will learn much more about that. And that is not necessarily correlated, whether it's -- if it's expressed on the inflammatory cells, will it be expressed on tumor cells as well? We don't know.
And then there is av?1, which may be an interesting contributor to the overall effect as well. We know that there are other programs that have been pursued or still being pursued with an antibody against av?8, in some cases, not a lot of results in one case of which we know probably a very severe toxicity related to rash. And then we are aware, and it's not in the public domain that Genentech is moving forward with their av?8 antibody program as well. And that's earlier stage compared to ours.
And then you guys have been really on the forefront of the integrin pathway for multiple indications. And obviously, things have had -- didn't work out in IPF necessarily, but there's been a lot of now advances that you guys are on the cutting edge on in cancer. But I know there's also ways you can leverage the platform for elements of drug delivery, delivery of siRNA. So can you talk a little bit about where you guys stand with regards to some of the preclinical studies you're doing to that effect and where you see this being differentiated versus kind of the other targeting delivery systems out there for siRNA?
So over the 10 years of our existence, we have built, I think, an unmatched small molecule library of integrin targets -- I mean targeting small molecules. And basically, we -- that library is about 15,000 compounds, I think, is completely annotated. So we know exactly the receptor profile of each of those small molecules.
And of course, seeing what was happening in the space of delivery, drug delivery, whether it's siRNA or like ADCs or what have you, integrins are a target that people are pursuing and are looking at. So we decided to kind of see if we could do the same with a small molecule approach because all the other approaches are antibody-based or peptide-based. The advantages of a small molecule, I think, are pretty obvious, but we can go through that.
In any case, what we did was we started basically labeling a whole bunch of small molecules with siRNA that knocks down a host gene and then just injected in mice. And then just harvest all the tissues and then looked where do we have knockdown. And so that's how we started to see the differences between the different profiles and the selectivity of certain compounds and maybe not so selective of other compounds.
And so what we are doing today is moving forward with some of those individual molecules with specific target genes that are relevant for certain indications. So our initial work was done in muscle. It's an easy target. We know what kind of target genes you're going after, and we have comparators. We have benchmarks like Sarepta, for example, or the transferrin receptor antibody approach. We did it in adipocytes. It works as well. Whether that's an indication we want to pursue, I'm not sure. We see it in kidney. And now we start seeing it -- and we have done it in lung as well because av?6 is a typical epithelial lung target. av?1 is a fibroblast target. So that could be a potential target cell as well. And now we start to also evaluate what is considered as intractable targets or intractable -- sorry, tissues that with standard siRNA delivery technologies, you cannot reach. And so we start to explore whether that would make sense for us as well.
And so what's the status of the preclinical data package now at this point? And what are your latest thoughts about when we might see an update there? Is that something we could see this year? And what would be the initial scope when you do report out some of these findings?
Yes. So the muscle program is the furthest advanced. So that's currently in nonhuman primate testing stage. So looking at PK/PD, local delivery, target gene knockdown, circulating biomarkers, what have you, we haven't disclosed the target in terms of the integrin that we are using or integrins. We haven't disclosed the target gene as it relates to the muscle itself. So that will follow.
Most aggressive time line could be an IND by the end of '27, early '28, if that's the one we want to pursue. But of course, again, it's crowded. And then the other platform development, tissue-specific platform developments are, I would say, most of them are mouse stage right now. And we anticipate we'll go to nonhuman primates later this year or early next year.
From a data disclosure perspective, we will -- we anticipate to disclose data this year. What the scope of that data set will be needs to be determined because the question will be, is this just a data set without any further context? Or are we going to be a little bit more specific about indications that we want to pursue, et cetera, right?
Right. And then you sort of alluded to some of the potential advantages that a small molecule approach might have over a peptide-based approach. So I guess are there any read-throughs that you see from some of the av?6 targeting siRNA data from in FSHD and DM1 that Sarepta and Arrowhead reported? And maybe can you talk about where you see any potential advantages for a small molecule muscle targeting approach?
Yes. So I mean, the Sarepta data, I think, show that in their case, an av?6 targeting peptide actually works, right? It does deliver siRNA to the tissue. I mean, although they didn't do a head-to-head, they did show from a tissue concentration perspective that with their approach, even at, if I remember well, the mid-dose, they see kind of a fourfold higher concentration of their siRNA. This is in the DUX4 patient population compared to transferrin receptor antibody approaches that were published by Avidity before. So it was a comparison based on historical data, not a head-to-head comparison. But I think it makes sense.
So they're using a peptide that is targeting av?6. It's an RGD peptide. So it has a -- the head of the peptide is an RGD sequence, which binds to RGD-binding integrins like av?6, but also av?1, ?5, ?3 and ?8. so selectivity could be a challenge. And the way to address that is adding more amino acids to the peptide and trying to kind of make it more selective.
The other -- it's a bulky protein or a bulky molecule because they add -- and this comes from the Arrowhead technology, they add lipids to it in order to increase its plasma exposure, its half-life. These PK enhancers, as they are called, are meant to increase plasma protein binding in order to prevent renal clearance because peptides and siRNA are renally cleared. Our small molecules are metabolized in the liver. They're not renally cleared and have a high plasma protein binding and long half-life, notably once we go to higher species.
We will show the mouse data at some point. Those are non-modified small molecules plus an siRNA with a linker in between. We know that the half-life of our small molecules in mice is anywhere between 1 hour and 2 hours, still 3 administrations, and we see months of knockdown. So it seems that exposure may not be the issue. And so our molecules can be much less bulky than the Sarepta approach, maybe leading to higher efficiency from an uptake perspective or endocytosis perspective.
I think it also potentially provides an advantage in terms of endosomal escape. But notably, subcu administration seems to be very feasible. I mean these are highly soluble molecules. So I think that's -- I mean it's an administration, whether that's a key advantage, I don't know.
I want to go back to the platform. I mean it's not just about the muscle versus Sarepta. It's actually about any other tissue that we can deliver to -- with our technology. So whether it's Sarepta or the transferrin approach, which are very nonselective, what we have seen in mice is uptake in skeletal muscle and nothing in cardiac muscle, nothing in lung, nothing in liver, nothing in fat.
So those -- we want to confirm that in monkeys as well, but it seems that working with these different integrins, you are able to kind of dial in selectivity as you wish, which allows you to go after other target genes, right? Because the way the transferrin approach is being made selective is by going for selective genes, myostatin, DUX4 that are specific. We don't know what all...
Selectivity you shouldn't need.
You can go after more you can go after specific targets that are expressed somewhere else, but you're not going to touch because you're not going to get into that cell. And ultimately, we don't really know what all this accumulation of siRNA in cells. I mean from -- I mean, there's not a lot of tox evidence, except for transferrin receptor antibody approaches definitely have their safety issues, for sure.
Maybe just in the last few minutes, you guys have undergone such a transformation in the past few years. I guess what would be your key takeaways for folks today looking at Pliant now for the next 6, 12, 24 months as to what are going to be some of the key de-risking catalysts and the key aspects of maturity of some of these new initiatives that seem to be gaining a lot of steam.
Yes. I mean, first and foremost, 2 biggest assets we have is cash and people. I mean, obviously, we restructured the company to a very significant degree. I mean we're very open about that. We were 170-plus when we were in a pivotal IPF trial, and we are about 40-plus now. So there is a significant reduction, but we kept the core development capability, which is something we have been always very, very good at. We were able to enroll an IPF trial in record time. It was 200 -- sorry, 360 patients and get to unfortunate data quickly, which allowed us to preserve cash, right? And so we have a core development team that will -- is already excelling as it relates to the oncology trial.
And then we have that integrin platform. And so I think that's where we see our strength is really kind of we have enough cash. We have people. We can kind of make that pivot successfully. And so what is for the next 12 months? Obviously, the oncology data will tell us a lot. I think it's extremely promising. If we could confirm what we have seen in Phase Ia, I think this could be a very interesting asset.
And I know investors are a bit like IO-IO again, and a lot of people have been burned. I can tell you, strategics do look at this differently. And notably, the interferon gamma is a signal that everybody is focused on. And then the platform, right? I mean this could be a game changer for the company. But first, we need to confirm and it's still 2 years from the clinic. So that's still a lot of work to be done.
It's a minimal investment right now because its existing chemistry and then a linker and siRNA is literally off the shelf these days. You have excellent CDMOs that can make it for you. Running these monkey studies, I mean, it's a bit capital-intensive. It's not the same as running a clinical trial. So let's see where we get and then start to kind of identify what we consider as programs that will make us very competitive.
I mean going after Sarepta with another DUX4, I mean, we need to have a clear upside there if we want to do that. But there may be other things that we can go after. So I mean catalyst in 2026, very much essentially these data, the siRNA data and then '27 will be catalyst-rich because all those cohorts will be almost fully enrolled, and we will start to see a lot of data. I mean the total number of patients is ultimately up to 106, if I remember well. It's 36 per cohort. 108 -- sorry, 108 patients in total.
Excellent.
Thank you.
Thanks so much. Congrats on all the progress. Appreciate it. Thanks. Thanks, everyone.
Thanks so much, Brian.
Pliant Therapeutics Inc — Oppenheimer 36th Annual Healthcare Life Sciences Conference
1. Question Answer
Good afternoon, everyone, and welcome back to Oppenheimer's 36th Annual Healthcare Conference. I'm Jeff Jones, one of the biotech analysts on the team here. I'm delighted to welcome from Pliant Therapeutics, Bernard Coulie and Keith Cummings, CEO and CFO, respectively. So gentlemen, welcome. And of course, since you're on the East Coast, hope -- or on the West Coast, I hope you've got better weather than we do out here.
So well, 2025 was really a major year of transition for you guys at Pliant. Bernard, why don't you give us just a little bit of a feel for how you're positioning the story today, obviously, transitioning to oncology. But why don't you just give an introduction.
Absolutely, and thanks for having us, Jeff. Very much appreciate it. As you know, of course, we are an integrin small molecule platform company. Over the past 10 years, we have developed a library of small molecules and a biology platform that helped us to kind of really elucidate all of these different receptors in different disease systems and indications. And our initial focus was, of course, on fibrosis. With stopping the program last year, we obviously had to kind of rethink how to kind of continue the company. And I think there was no better way than to focus again on that integrin platform.
So while doing that, we have and are in the process of developing a pipeline of products that are based on that unique integrin-targeting small molecule platform. Our most advanced program is PLN-101095, which is a dual av?8 and av?1 integrin small molecule blocker. Not for fibrosis, but as you mentioned, in oncology, we had a readout of our initial Phase I, which was a safety PK type of study in all-comers, patients refractory to immune checkpoint inhibitors, solid tumors, that showed very encouraging data, although the study wasn't designed to kind of really look for clinical responses.
We saw a number of very interesting data, both related to clinical response as well as to a number of biomarker readouts, and we will, of course, dig into this in more detail. Furthermore, we have earlier-stage programs, again, based on our integrin platform, and I would like to mention specifically a targeted drug delivery platform that we are started to build. And this is based on siRNA molecules that are linked to our small molecule integrin or integrin-binding small molecules, basically serving as warheads to deliver a payload to cells. And this is in a very specific and very selective manner.
And the reason we can do this is because of course, we master that chemistry as it relates to designing small molecules that are very selective to certain integrin receptors. We do know from a biology perspective, the expression patterns of specific cell types, as it relates to specific integrins. And for example, we can deliver siRNA in a highly select manner to, let's say, muscle cells or adipocytes without touching any other tissue.
And we have built this platform. We have products that are moving forward, all the initial work was done in murine models. Right now, we are kind of confirming what we have seen in terms of targeted delivery of these siRNAs with concomitant knockdown of a target gene -- therapeutic gene in nonhuman primates. And we anticipate to have data later this year, probably towards the end of the second quarter as we are dosing the nonhuman primates as we speak.
So I think those are kind of the key kind of new areas of focus, but all based on that same platform that we have been building for the past 10 years.
Okay. And so would it be fair to say that you're spending less time or you shifted away from exploring business development and licensing, which was the -- maybe the message shortly after the IPF transition.
Yes. This was, of course -- I mean we haven't shifted away from that entirely. Let me make that very clear. We continue to evaluate external opportunities, external assets for potential in-licensing or acquisition. Clinical stage assets, mostly small molecules or antibodies in a relatively broad spectrum of indications and that hasn't changed. So I would argue, cardio-metabolic, pulmonary, I&I in general, but also, of course, oncology as long as there is a complementarity to our existing oncology program. But the oncology program right now, based on the data we have generated made last year is kind of moving forward. If there is anything else, we can add to that to strengthen that pipeline and to increase shareholder value, we will definitely do that. So we haven't moved away from that entirely.
All right. So why don't we dig into 1095 and talk about this as a program in the data you've put out relatively recently. The target av?8, av?1, can you talk about the role of those integrins and checkpoint reexistence and maybe set the stage with the TGF-beta pathway there.
Absolutely. So PLN-101095, just to make that clear, is a small molecule, so it's orally administered twice daily. So in response to immune activity, sustained immune activity, tumors will express both av?8 and av?1. They will utilize this basically to mediate activation of TGF-beta. So TGF-beta is being activated by these 2 integrins in the tumor microenvironment. Av?1 are -- receptors are expressed on CAFs, on cancer-associated fibroblast, well, av?8 is expressed on tumor cells as well as on regulatory T cells. So what happens is TGF-beta gets activated and basically through that activation, it will reduce the -- or will induce immune suppression leading to a reduced immune response of the tumor, whether it's by the patient's own immune system or a checkpoint inhibitor. And so by blocking that conversion, by blocking these integrins, we will block the conversion of latent to active TGF-beta, thereby reducing the TGF-beta tone in the tumor micro environment and basically taking away that immune suppression that -- basically escaping from the immune response and reestablishing immune-sensitive environment as such.
So what will happen is TGF-beta gets reduced, interferon-gamma will increase again and hence, checkpoint inhibitors or the patient's own immune system may attack the tumor. That's basically the whole principle behind this. And this is, I mean, well-established biology, this is not something that we all figured out ourselves. This has been around, and of course, the role of TGF-beta in cancer therapy has been studied extensively, I think one of the key issues with TGF-beta inhibition systemically is tolerability and safety even in patients with cancer. And so our approach, again, is very tumor specific. It doesn't suppress TGF-beta systemically. It only suppresses there where the receptors are expressed notably in the tumor microenvironment.
All right. And so given you're effectively reestablishing the immune sensitivity of these tumors. We should be thinking about this as not single agent activity, but essentially reestablishing activity of checkpoint inhibitors. Would that be right?
That's the basis, right? I think that I would consider that as the basis, and that's what we have shown so far. However, interestingly enough, I mean, the design of the Phase I study was basically 14 days of a lead-in period with a monotherapy setting with PLN-101095, after which in our case, pembro as the checkpoint inhibitor, was introduced. And what we see in those 14 days, although it's too short to see a clinical response, obviously, in terms of tumor size reduction. What we do see are significant changes -- very significant changes in a number of biomarkers, notably interferon gamma in those patients that would respond to reintroduction of pembro.
And so what we see from a biomarker perspective in patients that are responders, meaning that there is a resetting of their immune sensitivity is 3- to 12-fold increase of interferon gamma over 14 days between baseline and 14 days later, which lasts for about 28 days after which it starts to decline. So with that in mind, so we do see an interesting signal in a monotherapy setting, not just in combination, and we did see clear evidence for monotherapy efficacy in a number of different animal models.
So taken together, we definitely plan to kind of evaluate our drug also in the monotherapy setting, albeit not right now. So in terms of next phase of development, we are initiating a Phase Ib dose expansion study. That will be first patient in probably second quarter, definitely second quarter of this year. And so that will be in combination with pembro. Based on those initial response results, we will identify an indication where we feel like we can kind of try to evaluate monotherapy as well.
Okay. And in the Phase I, I guess, the -- you saw some responses across non-small cell melanoma, cholangiocarcinoma, for that -- for your next trial, are you going to limit the enrollment to those tumor groups? Or how are you thinking about selecting patients for those tumors or for the trial.
So we will -- I mean more detail will follow during our fourth quarter financial update. But high level, what I can give you is basically we will limit the number of indications, but actually still wanting to make sure that we don't miss anything. So we will have a cohort with small -- non-small cell lung cancer because obviously, we saw the effect there. We do see, amongst the responders, we have evaluated in our Phase I -- initial Phase I, we see that all responders had a tumor mutation burden that was high at inclusion. So we will include that also as a separate cohort. And that will be a number of different tumor types that will be studied and more detail will follow.
Now we have a third cohort, which will be renal cell carcinoma. And that's, again, based on av?8 expression profiles as well as previous data with other anti-TGF-beta approaches showing a clear effect in that tumor type. So anyway, that's kind of the overall design. And as I mentioned -- I mean all the preparations have started, and we anticipate to have our Phase Ib first patient in second quarter this year.
And is -- I mean, we've talked a bit about the mechanism of action here. And as you noted, the renal data, which has some validation based on what AbbVie is doing. It's probably worth highlighting some of the other validation that's been generated, not necessarily this av?8 and av?1, but the TGF-beta pathway in some of these tumors? And what are the findings we're seeing? Where does that give you confidence? And how does that help you in thinking about the design of the next steps?
So what we have seen, in general, I mean from a competitor perspective, there are av?8 specific programs. That's 1 set of data. We know that there are earlier-stage programs from Genentech, there is a program in Phase Ib or II from Pfizer and some others. And those are all antibodies. By the way, I think one has to be very careful in terms of extrapolating data from those potentials -- I mean, from those studies to what we are doing because I think the fact that we have a small molecule and that it covers av?1 as well makes it quite differentiated from those programs.
And so I think one has to be again careful about extrapolating the anti-GARP program from AbbVie kind of closely relates to our program in terms of GARP being the chaperone protein that provides TGF-beta or that offers -- kind of basically presents TGF-beta to av?8 and obviously, there are in later-stage development in a pretty kind of wide range of different indications. So that helps us kind of select indications as well. And then there is a whole group of programs that are directly TGF-beta target. So most of them are TGF-beta traps combined -- often bispecifics, combined with, let's say, a PD-1 or a PD-L1.
There's a whole bunch of Phase I programs there and I think Incyte and Hengrui have like later-stage programs there, Phase II, Phase III and then again, you have other bispecifics outside of the PD-1 combined with TGF-beta, such as EGFR, Bicara, VEGF, et cetera, et cetera. And all of those programs basically provide, I would say, a certain rationale to kind of target specific tumor types where we think that TGF-beta is relevant because the key driver of the TGF-beta activation in all cases, will -- are these 2 integrins notably av?8 and av?1.
So selecting indications is based on other programs as well as our internal data in terms of av?8 expression in certain tumor types that we have.
So we kind of skipped over it, but would you highlight what you actually showed in your Phase I, what's gotten you excited for moving forward? And then I'd like to talk a little bit about the interferon gamma as a biomarker.
Absolutely. So we treated in total 16 patients in our Phase I over 5 different dose levels, so 5 cohorts ranging from 250 milligrams twice daily to all the way up to 2,000 milligrams or 2 grams twice daily. And so from 1,000 milligram BID, we started to see responses. We had -- in total, we had 4 clinical responders, 3 partial and 1 complete responder. That was the cholangiocarcinoma, and you mentioned before, melanoma, non-small cell and head and neck cancer.
Those were the 4 different tumor types that -- where we saw the clear response. The average duration at the time of analysis towards the end of November, early December, was 15 months. And those patients -- at least 3 out of 4 patients continue to be responders. More data, by the way, I want to make sure that that's understood. The full data set will be presented in the very near term at a scientific conference.
So you will see all the data up to a later time point. Of course, in terms of average tumor size reduction, it was 71% in those 4 responders. So the ORR was 40% in secondary non-refractory -- sorry, secondary refractory at that dose of 1,000 milligrams BID or higher.
From a safety perspective, the drug was well tolerated. I mentioned before, anti-TGF-beta has its kind of potential significant safety and tolerability issues. We never saw anything of that, most common reported side effect was mild to moderate rash in about half of the patients, which is probably a combined effect or driven by both the combination of pembro and PLN-101095. But then to your point, we saw a very significant increase in interferon gamma during the monotherapy phase of the study.
So the first 14 days where we had only monotherapy with our drug, and we saw this 3 to 12x increase in interferon gamma during the baseline and 14 days of treatment in all the responders. So the question is, of course, is this potentially an early predictor of treatment response.
In our Phase Ib study, we're going to continue to evaluate that, although it will be a very unbiased approach. So we're not going to select patients based on their initial response as it relates to interferon gamma increase. So we want to make sure that we expand the number of patients, measure interferon gamma over 2 weeks and see if we can confirm an increase being related to a response and no increase related to probably no response.
So that's kind of the idea behind that. So this could be a predictive biomarker, which ultimately thinking Phase II or Phase III controlled studies where you would use this to kind of basically select patients that are potential responders and kind of try to increase your response rate to its maximum using this biomarker.
Was there any correlation with rash and the interferon gamma response?
No, we didn't.
Okay. And then as we think about the rest of the year for you guys, 2026, what are the key updates we should be keeping an eye on?
So the key updates, I mean, first, as it relates to our lead program will be just clinical execution, right? I mean, getting those centers up. So the plan is to have first patient in the second quarter of this year. We would like to have most of the clinical sites opened by the end of the year and having a significant portion of patients across three different cohorts enrolled. So we will provide continuous updates on that, of course.
Secondly, we will provide -- first, I would say, look at the nonhuman primate and other data that we have generated with our targeted drug delivery platform that is still preclinical, but of course, nonhuman primates will be a key data set that will decide or will kind of be determining whether or not this is a viable program. And if so, then we obviously will go full steam ahead and try to get this to the clinic as soon as possible.
And then the other update potentially could relate to acquisition or in-licensing of potential assets. As I mentioned before, we continue to do so. In terms of evaluating assets, if something comes our way that makes a lot of sense and we can afford it, we would definitely provide an update on that as well.
Okay. In terms of the drug delivery platform with siRNA, is this something you would need to partner with some -- with an external source for the siRNAs for the payload, if you will, or are you thinking about this as an engine for internal R&D? Or is it more of a partnering -- external partnering type approach.
I do see it as an internal effort to continue and to kind of build our pipeline further. siRNA as such -- access to siRNA is -- these days, it's not too difficult, right? It's more or less a commodity. Delivery is key, the siRNA itself basically, we use contract manufacturing to get siRNAs against specific targets. So what is key is choosing the right target and making sure you have selective delivery to the cell types that are of interest from an indication perspective.
Right now, we have shown that at least in murine models for muscle and adipocytes. So those will be the first ones that we will focus on, but potentially expanding to other cell types, other tissue types as such. So I don't see this immediately as a partnering -- how would I say asset or partnerable asset. Of course, it's always partnerable, but I would like to kind of continue development if we can confirm what is -- what we have seen before in mice, now in monkeys as well.
And I'm pretty sure that once we start looking for those -- showing those data that there will be interest. I wouldn't be surprised if that's not the case.
Okay. And can you remind us, although you report out in a few weeks, cash runway and then what's in those runway assumptions?
Yes, Jeff, we finished third quarter with about -- if you -- pro forma for the payout of our loan facility, we had about $211 million cash, we'll be reporting in a couple of weeks, new cash level. Burn was dramatically decreased in the fourth quarter. We have cash into the second half of 2028 at least at this point. So that includes the full aggressive development of the oncology asset as well as full speed ahead on the platform. So we're doing everything, moving everything forward aggressively with that runway.
All right. Okay. anything else that I'm missing or that you guys would like to flag, of course, this being ahead of your full year-end update?
No. I think -- I mean we covered everything, and thanks for providing us the opportunity to do so, Jeff. I think maybe one thing and Keith clearly alluded to a significant reduction in burn. Obviously, we restructured the company to a much smaller footprint, but what was key -- what is key is that we kept our development capabilities. I mean our DevOps team has shown to be extremely capable and efficient, I would say, that in terms of running large multinational, multicenter studies in IPF notably global studies, this will be key to kind of deliver also in our oncology program from an enrollment and timeline perspective.
The executive team is here to lead the company and to lead the programs towards these very important value drivers and catalysts. And then last but not least, we also kept core med-chem and core integrin biology capabilities to kind of drive that earlier stage program or programs and notably the one that I mentioned before, the targeted siRNA delivery. So we have those capabilities in-house to a large extent, smaller footprint, but the core folks to really kind of move forward our pipeline are still here.
It's a good point. Let me just add one more thing on the runway. That development capability is going to come into play crucially for us. We expect we'll have data from the oncology program at some point next year. So even with our aggressive development, we have probably a year of cash post our initial data reading from Phase Ib.
Yes. All right. Well, guys, we really appreciate the update, and it's been a tough story sort of over the last 1.5 years. But you've always had this oncology asset that's been interesting and what is really a validated pathway and seeing the Phase I data certainly helps give folks comfort that there's a path forward here in oncology, and it's a matter of time and execution and obviously, looking forward to the deeper data set when you guys release that. So I think I am up on questions. So I'll say thank you very much. And I hope that you have some great meetings through the day. And operator, with that, you can take us.
Pliant Therapeutics Inc — Piper Sandler 37th Annual Healthcare Conference
1. Question Answer
Good afternoon, everyone. Welcome to our 37th Annual Piper Sandler Healthcare Conference. It's day 3 of our conference. My name is Yas Rahimi. I'm a senior biotech analyst at Piper Sandler and a covering analyst of Pliant Therapeutics. Bernard, Chris and Keith, thank you so much for traveling from the Bay Area to be with us. And also congrats to the data this morning. So wonderful to get the news, but maybe a great place to start off would be if you could provide an update of the data introduced this morning for investors who may have missed it as they have been in meetings all day.
Absolutely. Maybe I can kick it off, and Eric can provide additional data or detail. And for those here in the audience and listening in, the deck is on the website, and I will refer a couple of times maybe to some slides. So I think for me, the key highlight from what we have generated out of this Phase I study, albeit it's a very early study. It was meant as a safety study, a limited number of patients is the fact that we see a durable response, right? So 15 months -- median of 15 months on the treatment so far to date with 4 responders, responses are deep. We have one complete responder.
And this is in patients that have been heavily pretreated. This is basically kind of end of the line for them. So they failed not just Pembro or other ICIs, but they actually also failed chemotherapy or other targeted therapies before. For example, the cholangiocarcinoma patient, which is actually as part of a Lynch syndrome. This patient has a complete response, has been on treatment for, I think, now about 1.5 years. The patient itself, this is his fifth line of therapy, went through 4 different lines before, continue to progress, had colon cancer before as well, even underwent radiotherapy and seems to be a complete responder and kind of stays like that. So I think that, to me, is the key highlight of the data. Of course, there's much more in that dataset, the fact that we can -- it seems predict response based on the interferon gamma response after 14 days of monotherapy, but maybe, Eric, you can provide additional details on some of the data that we have seen.
I think Bernard alluded to it, the interferon gamma signal was really interesting because we saw it really as a distinguished between responders and nonresponders in our study, and it was rapidly seen in the setting of initial 14-day monotherapy with PLN-101095, and it was also statistically significant compared to basic baseline. And what's interesting about that is that we had also seen this preclinically in our animal models that -- and that's what you would expect by really having an immune -- really an immune response in the tumor microenvironment. So that was really exciting.
Another really good point is that the drug was really well tolerated. And we saw that the most frequent adverse event was rash, but that it was mild to moderate, and we only had one discontinuation due to rash. It was managed topically. So really great feedback from the investigators from that perspective that they really see a therapy that can not only improve response, but is well tolerated in combination with the drug that they use very often, right? Pembro.
And team, I know you had -- you also had provided an interim data readout. So help us sort of put into context the data from this morning versus the interim look. I think Bernard, you alluded to sort of the longer time point. But if you could just maybe shed some more light on sort of comparing contrast the 2 readouts?
Yes, we have one additional responder. So last time we disclosed data were 3 partial responders. Now we had one additional partial responder. And then one of the partial responders of last time turned into a complete responder. This was the cholangiocarcinoma patient. And then to your point, it's just the duration of time on treatment and the duration of the ongoing response without any progression.
And then to Eric's point, safety, right? The safety dataset, of course, is now expanded because of the time we had. The interferon gamma data are new as well as additional biomarker data that we have been analyzing. We only kind of disclosed the interferon gamma, but there's more to come, I would argue. And the plan is once we have the full dataset to present at one of the upcoming conferences.
And team, you've also announced this morning that you're going to move the program forward. So maybe help investors understand what in the dataset warrants advancing the program? And then what would the next steps look like for the program?
Yes. For the next steps, in terms of the program, we have -- we'll move on to Part 2 of the study. So it will still be a Phase Ib study where we will evaluate PLN-101095 in specific tumor types. So that's what we want to do. We'll start with non-small cell lung carcinoma and then also explore other tumor types and then we'll give more information as we select these different tumor types. And we also believe that the 1,000-milligram bid dose makes good sense to evaluate in this study. As really in terms of whether we will still keep the monotherapy, we will still keep that because we want to continue to explore this interferon gamma signal and also the effect on other biomarkers.
And yes, I mean, that's really what we'll be doing. And then yes, the question is whether we have include another dose in that Part 2 or whether we want to, I would say, defer that to later stage of development, right? To fulfill our requirements for Project Optimus. So we want to be really mindful of all these considerations.
And how large of a cohort do you envision in the Ib portion of that sort of.
Yes. I mean probably we have -- it's too early to disclose that, but it's not a large, large footprint we're talking about. So it's something that we would easily execute.
And would you be in a position now that you've made the decision to move forward to next steps and you have the dose and obviously, contingent you wanted to go higher, could you get potential data in 2026? What would the timeline look like post start?
Yes. We don't really have, I mean, formal guidance in terms of timing of data, but I anticipate -- I mean, for sure, its '27, right? If we start in '26, depending on the size of the cohort, I think that will be the determining factor, but '27, we should have both data. Whether '26, I don't know, hard to say. Depends also on the design. Of course, all of this is still open label. So of course, data are coming in as they come in.
And I assume the type of cancers will be very much aligned with the current patient, like the split of the various types are going to be the same as you just reported out, right? There's not a reason to enrich.
I mean we will do a Phase Ib study in non-small cell. So that will be a given kind of set of patients and then look at another mix of potential tumors depending on, I mean, more data to be analyzed coming out of this specific trial to see why are we having certain responders and why are patients still progressing under treatment, and that will define kind of the patient population or the indications that we will study in kind of a more of a mix type of cohort.
And then team, big picture, like does this now represent sort of a shift in the company's strategy as you're thinking about?
I mean not really. I mean we have always been an integrin platform company, right? So what is our strength? Our strength is, on one hand, is understanding the biology and having the chemistry to address integrin receptors within different disease settings. Of course, we spend a lot of time in fibrosis. We went into primary sclerosing -- PSC, primary sclerosing cholangitis, oncology. With these data, obviously, we're going to spend resources to moving forward to advancing this specific program.
But at the same time, we have a number of additional earlier-stage programs that we will be more public about in '26, including, and there was a reference to that in the press release, specific targeted drug delivery, very specific cell types, for example, delivery of siRNA to muscle cells, to adipocytes. We have now in vivo data that support that and need to be confirmed in larger animal species, but we anticipate to kind of start disclosing those data in '26 as well.
So there is a platform, and we will start to rebuild the pipeline that is minus the fibrosis asset, but with the oncology asset as the lead asset. We have enough cash, and then Keith can talk about that. We will remain opportunistic as it relates to potential additional assets from outside that would fit our pipeline. But right now, the focus is on the oncology program.
And team, who are some of the competitors in the space on the oncology side as we think about?
It's crowded and it's not. I mean, of course, the whole space of ICI refractory patients. So second line in non-small cell, for example, is crowded. If we look at any kind of the options today, if you look at PFS, it's anywhere between 3 and 5 months. So we may have something that will do much better than that based on what we see today, but of course, needs to be confirmed. True competitors around the same mechanism. There are a couple of companies or a number of companies focusing on bispecifics where TGF-beta is being blocked together with something else like a PD-1 or PD-L, VEGF, EGFR. So that's one specific space.
And then the other one for me, actually, the true competitor from a mechanistic perspective as well as indication perspective is AbbVie. This is the original argenx compound and anti-GARP. GARP and alpha v beta 8, one of our 2 targets that we address with the small molecule are very close to each other. They basically work hand-in-hand in terms of activating TGF-beta, which then leads to immune exclusion of the tumor. GARP kind of serves as a chaperone protein that offers latent TGF-beta to the receptor. So their antibody basically blocks the conversion of TGF-beta by alpha v beta 8. So very, very similar. They are currently in later-stage development in non-small cell, in HCC as well as urothelial cancer. So I think definitely something to keep an eye on, see how that goes and how we will compare to that. That's an antibody. We are a small molecule.
I think I want to kind of reiterate the small molecule part of this, twice daily dosing, small molecule. I think this is one of the reasons we see the efficacy that we see, but also stay away from the typical TGF-beta related toxicity. We have rash, but it's mild to moderate. We are aware of other programs addressing same target with an antibody that had much more rash. So I think we can kind of find a position where we have efficacy without running into some of the target-related toxicities because it's a small molecule, and it gets much better penetration into the tumor.
Bernard, you talked about the platform capability, right? In the emerging research that you just alluded to in terms of specific tissue delivery of large molecules such as siRNAs. So what else -- just maybe talk to us the capabilities of the platform as you're going to be sort of generating a rich pipeline from that?
So what do we have? I mean we have still a number of small molecules preclinical that we -- that are kind of DC ready or already development candidates in, let's say, a year from the clinic that we, for good reasons, decided to put on hold as we were moving forward with our IPF program, fibrosis program. to save resources. Those are available and basically can move into the clinic in different indications. I'm not going to disclose which ones, but these are molecules, small molecules against specific integrins that was based on certain biology related to what I would consider relevant diseases, not necessarily fibrosis, could also be oncology or other chronic indications.
And then we have the siRNA delivery platform that we are moving forward where we're looking at muscle cell and adipocytes, so you can kind of guess what potential indications that could be. We don't disclose the target genes of those siRNAs, but as we move forward, we will be more public about that.
And how soon could some of these programs enter the clinic or at least if we had ready...
Yes, I think '27 is a reasonable time to kind of move these things forward into the clinic, yes. And from a cash perspective, and Keith can talk to that.
Yes, we're fortunate to be in a very strong position. So we -- with our current plan, we have cash through 2028. So that gives us an ample runway past any Phase Ib data that we expect to get. So we have a lot of flexibility with how we direct resources in that time period.
And in terms of enrichment of the pipeline or even being concurrently open if there is a potential opportunity.
Absolutely.
As you think about -- if you think about adding on to the pipeline, maybe investors or programs listening, what are therapeutic areas that you would be interested? Or are you basically agnostic to that?
We are relatively agnostic to that, right. I think from a therapeutic -- I mean, therapy specific perspective, I mean we don't have in-house cell therapy capability or CAR-T or anything like that. So we are very much a small molecule play, but now with the siRNAs, we are venturing into something that is quite different, but using a small molecule as a warhead to kind of deliver. So we are, again, relatively agnostic to indication, relatively agnostic into kind of therapeutic modality as long as it's not kind of too far away from where we are today.
And I think I think also a lot of recognized sort of investors recognize the capability of Pliant in terms of a team of execution from a clinical perspective. So maybe like help us, obviously, it was pretty unfortunate for Bexo to have safety signal. But when it comes to the team that you guys had built and to maybe sort of help us understand sort of how much of that group is maintained.
We have maintained -- yes, we have maintained our development capabilities as much as possible. Of course, a Phase Ib is a different thing than a global Phase IIb and IPF. So we rightsized the company. I have gone through that. It's a smaller company than what it used to be. But the core capabilities are there from a clin ops and clinical perspective. We're actually going to add more capabilities in terms of -- on the clinical oncology side as well as on the regulatory side as it relates to oncology because that's very specific.
So we're going to bring those additional expertise in to support this program. But otherwise, I think we still have a team that's very much first, very motivated to move this forward. It's a program that we know, which has the advantage of something that you buy. You never know what's -- I'm not saying skeletons, but due diligence will never be -- due diligence will never be 100%. This one we know. And so that gives comfort and people are extremely motivated to stay and to kind of really work on this. So all of that is improving. Of course, we also looked at our cash burn and making sure that we have sufficient runway, so we had to kind of rightsize the company.
Wonderful. Well, team, this is an exciting announcement. And obviously, we are very much looking forward into next year, a new year, a new beginning, a new program, lots happening at Pliant. And thank you again for being here with us. I must give a big applause to the Pliant team.
Thanks for having me.
Thanks for having us.
Pliant Therapeutics Inc — Piper Sandler 37th Annual Healthcare Conference
Financial data from Pliant Therapeutics Inc
Revenue
Revenue is the sum of all sales generated by a company, e.g. for its products or services.
Revenue (TTM) metric explainedDirect Costs
Direct costs are the costs incurred directly in connection with the manufacture of the product or service.
Gross Profit
Gross Profit indicates how much of the revenue remains in the company after deducting direct production costs. If the percentage share of sales is calculated, this is referred to as the gross margin.
Gross Profit metric explainedSelling and Administrative Expenses
Selling, general and administrative expenses (SG&A) include all expenses for marketing and sales as well as the general administration of the company.
Research and Development Expense
Research and development costs (R&D) provide information on how much the company invests in the research and development of its products. The costs are particularly interesting as a percentage of revenue and in comparison to direct competitors.
EBITDA
EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization) is the company's earnings before interest, taxes, depreciation and amortization. The EBITDA margin is calculated as a percentage of sales.
Depreciation and Amortization
Depreciation represents reductions in the value of the company's assets (e.g. due to wear and tear on machinery).
EBIT (Operating Income)
EBIT (Earnings Before Interest and Taxes) is the company's profit before interest and taxes, also known as the operating income. The EBIT Margin is calculated as a percentage of sales at
.
Net Profit
Net Profit represents the profit or loss after deduction of all costs.
Net Profit metric explainedStocksGuide Premium
| Dec '25 |
+/-
%
|
||
| Revenue | - - |
-
100%
|
|
| - Direct Costs | - - |
-
-
|
|
| Gross Profit | - - |
-
-
|
|
| - Selling and Administrative Expenses | 46 46 |
22%
22%
-
|
|
| - Research and Development Expense | 106 106 |
37%
37%
-
|
|
| EBITDA | -151 -151 |
33%
33%
-
|
|
| - Depreciation and Amortization | 1.70 1.70 |
20%
20%
-
|
|
| EBIT (Operating Income) EBIT | -153 -153 |
33%
33%
-
|
|
| Net Profit | -149 -149 |
29%
29%
-
|
|
In millions USD.
Don't miss a Thing! We will send you all news about Pliant Therapeutics Inc directly to your mailbox free of charge.
If you wish, we will send you an e-mail every morning with news on stocks of your portfolios.
Pliant Therapeutics Inc Stock News
Company Profile
Pliant Therapeutics, Inc., a clinical stage biopharmaceutical company, discovers, develops, and commercializes novel therapies for the treatment of fibrotic in the United States. Its lead product candidate is PLN-74809, an oral small-molecule dual selective inhibitor of avß6 and avß1 integrins, which has completed Phase Ia single ascending dose/ multiple ascending dose trails and Phase Ib proof-of-mechanism trials for the treatment of idiopathic pulmonary fibrosis and primary sclerosing cholangitis. The company also develops PLN-1474, small-molecule selective inhibitor of avß1, which is Phase 1 clinical trials for the treatment of liver fibrosis associated with nonalcoholic steatohepatitis. Pliant Therapeutics, Inc. was founded in 2015 and is based in South San Francisco, California.
StocksGuide Premium
| Head office | United States |
| CEO | Dr. Coulie |
| Employees | 49 |
| Founded | 2015 |
| Website | pliantrx.com |


