Design Therapeutics Inc Stock price
Compare with Peer Group
📊 Peer Group
📈 What is it?
The peer group consists of the companies with the most similar business model. They serve as a benchmark for putting a stock into context.
🧮 How is it selected?
Based on similarity of business model, meaning companies from the same industry with comparable products and a similar customer base. That's the only way to compare apples to apples.
🏛️ Why does it matter?
Whether a stock is cheap or expensive is best judged by comparison. A P/E of 18 or an EV/FCF of 20 can look cheap or expensive depending on the yardstick. The peer group gives you the most accurate one: companies with a similar business model that operate under the same conditions.
🎯 What does it mean for investors?
When a metric sits below the peer average, the stock is valued more cheaply relative to its competitors, and above the average more expensively. A discount to the peer group can be an opportunity, but it can also have a reason (for example lower growth). The comparison is a starting point, not a verdict.
Is Design Therapeutics Inc a Top Scorer Stock based on the Dividend, High-Growth-Investing or Leverman Strategy?
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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.
🧮 Calculation
📊 P/E (TTM) = Based on earnings from the last 12 months (Trailing Twelve Months):🎯 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.
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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.
🧮 Calculation
🎯 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?
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Special Call - Design Therapeutics, Inc.
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Q1 2026 Earnings Call
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Design Therapeutics Inc — Special Call - Design Therapeutics, Inc.
1. Management Discussion
Good day, and welcome to the Design Therapeutics Conference Call. [Operator Instructions] Please note this call is being recorded. I would now like to turn the call over to Sean Jeffries, COO. Please go ahead.
I'm Sean Jeffries, COO, of Design Therapeutics. This presentation will contain forward-looking statements, including statements related to our development plans and other information that is not historical fact. Such statements are subject to risks and uncertainties and actual results may differ materially from those expressed or implied by such forward-looking statements. For more information regarding these risks and uncertainties, please refer to the press release we issued today and the risk factors in our most recent quarterly report on Form 10-Q. It is my pleasure now to turn the call over to Design Therapeutics CEO, Pratik Shah.
Thank you, on behalf of Design Therapeutics, I'm delighted to announce an earlier than anticipated read-out on our RESTORE-FA study, a multiple ascending dose study in patients with Friedreich Ataxia. The results we will share are based on 4 weeks of dosing from IV once weekly, conducted at 4 dose levels with a total of 16 patients in the study.
DT-216 P2, also known as DT216 for injection, was generally well tolerated. All adverse events were mild to moderate. There were no serious adverse events and no study discontinuations. We are very pleased to report that we are seeing significant increases in production of endogenous natural frataxin in both mRNA and protein and activity in both blood and muscle.
The frataxin increases are at levels that are potentially already providing therapeutic effects as measured by well-accepted clinical endpoints such as mFARS and upright stability score and also supported by patient-reported measures of fatigue. These data lead us to believe that DT216 for injection could represent a potentially best-in-disease profile in the treatment of FA.
To our knowledge, this is the first time, it has been possible to evaluate the clinical impact of increasing natural endogenous frataxin as a result of a therapeutic intervention, and it is gratifying to see what the potential of a small molecule genomic medicine can be. In the context of these data, we are now beginning to develop a plan for a potential registration path. We expect to have further clarity on these plans in the fourth quarter of this year.
FA is a debilitating condition that is caused entirely by a mutation in a single gene frataxin. This is a disease driven by low quantity of normal endogenous frataxin in production, starting with low levels of normal mRNA and therefore, low levels of protein resulting in downstream effects on the mitochondria and cellular function, and ultimately leading to dysfunction in a number of organ systems.
The approved drug called Skyclarys or omaveloxolone, target -- as the mitochondria, but does not impact frataxin. There are other companies pursuing approaches involving exogenous delivery of either frataxin infusion protein or by exogenous gene delivery by viral vectors. The mutation is a long GAA nucleotide repeat expansion tension in the first intron.
This causes low levels of mRNA production that can be readily measured as shown on the bar graph on the right. as compared to mRNA levels from a wild-type allele with very few GAA repeats. DT-216 is a heterobifunctional gene taxol molecule, that is designed to recognize these long GAA repeats, and crude epigenetic proteins to dial up the transcription of endogenous frataxin mRNA.
As a result, treatment of cells from FA patients resulted in a dose dependent increase in frataxin expression that does not exceed normal levels as shown in the blue bars. The pathogenic cascade is shown on this slide. As a reminder, the cause of the disease is in the DNA in the nucleus. And this is a disease of partexin quantity, not quality since the splice for taxinmRNA is identical between in patients and unaffected individuals. The assay employed in the clinical trial is specific for endogenous -- mRNA, as shown in step 3 and frataxin protein as shown in step 4.
We have previously demonstrated in pre-clinical studies that treatment with an FA gene tech molecule increased mRNA, which translated to protein and that the protein increase resulted in downstream effects, like increases in cis-aconitase activity as well as increases in cellular respiration and oxygen consumption, thereby restoring cellular function to levels comparable to unaffected cells.
To assess clinical impact on the Restore study, we have used multiple clinical measures. Today's update is based on the 4-week IV dosing cohorts of the RESTORE EF study looking at both biomarker and standard clinical endpoints like MAR or the modified Friedreich Ataxia rating scale, which was used by the approved drug as a primary endpoint in their pivotal study, upright stability score USS, a component of MRs which the approved drug is now using as a primary endpoint for the ongoing pediatric brave study.
Since fatigue is an important complaint for patients living with FA, we have used a well-established disease-agnostic fatigue scale called PROMISE that has been used in many other drugs. As a reminder, these are some of the salient observations reported by others on MRs in the FAA therapeutic landscape. The approved drug in the MOXY study demonstrated a 1.56 improvement in mFARS change from baseline over 48 weeks, and there was a 1.6 point improvement seen at 4 weeks.
Placebo group improved by 1 point at 4 weeks and worsened by 0.85 points by week 48, resulting in a group difference of 2.4 points. Lexio and Lamar have reported data from their open-label studies. Lexia observed an improvement of 2 points with an F16 and Larimar reported an MFR change of 2.25 points with an INNOVATE. Our 2-point changes thought to represent approximately 1 year of progression.
On frataxin levels, the natural history data demonstrate that endogenous frataxin blood protein is a surrogate marker for predicting clinical benefit and that any significant increase would likely be therapeutic. We had wanted to understand how DT216 would fare while key biomarker criteria. First, whether DT216 would increase mRNA, Second, whether there was evidence that this induced mRNA would result in protein increases; and third, whether DT216 had evidence of activity in both blood and muscle. We are delighted that the results show that we have met all 3 biomarker success criteria and further that the measured increased levels of frataxin in this study already show clinical impact at a level that would potentially place DT216 as a best-in-disease profile.
Here are the patient demographics. This was an all-comer study. the functional staging of ataxia or FA core4 indicates that the patient would require the use of a walking device like a cane or walker and an FA C score 5 indicates we'll chair dependence. Ten of the 16 patients were on background omaveloxolone therapy for an average of over 5 years. Now for the salient clinical and biomarker observations.
We are extremely pleased to have observed a 6.4 point improvement in mFARS at the 1 MPK IV dose. On Upright Stability Score, we observed a 2.7 point improvement. Placebo effect on MRs in the MAX study at 4 weeks was a 1 point improvement Amir effects in previous FA studies have not exceeded 3 points and on a USS, a 1 point improvement would be beyond the 95th percentile confidence interval of any placebo study seen previously in FA.
Although no head-to-head study was conducted, the results are striking and a comparison between the MFRS and USS changes to the placebo groups in the MAX study is shown in the footnote show comparative significance in an exploratory ad hoc cross-study comparison. The observed effects are add-on methods in patients already on standard of care. These graphs show the data from all of the doubles. MFRS is a composite score and contains a number of subdomains and therefore, tends to be more variable.
The upright stability score component of MRs is less placebo responsive and less variable. USS on the right evaluates balance, stance and gate. It is the least variable component of MFRS and the dose response relationship is particularly striking. On fatigue, an important complaint for patients had 1 MPK a greater than 6-point improvement in the promised fatigue scale. You can see that the 0.1 MPK dose group is acting like a placebo. We see a magnitude of improvement that far exceeds the 3-point change, which is considered a minimal important change.
The responder table on the very right column, shows a dose-dependent increase in the number of responders with greater than 5-point improvement in the promised scale. We also observed that the impact appears to be somewhat persistent at 2 weeks post fourth dose. Now let's look at the biomarker response. Dose-dependent increases in endogenous frataxin were observed following treatment with DT216 P2 across Rituxan mRNA and protein assays in whole blood as well as frataxin in mRNA measurements in affected muscle tissue, demonstrating activity in both blood and muscle.
Following 4 weeks of treatment at 1 MPK Whole blood for tax in mRNA levels increased by 65% from baseline. Whole blood frataxin-M and frataxin-E-protein levels increased by 22% to 27% from baseline 2 weeks following the last dose. Muscle for tax in mRNA levels increased by 42% from baseline. Together, these findings provide comprehensive biomarker activity with meaningful increases in frataxin mRNA and protein as well as activity in both blood and muscle caused by DT216 P2 treatment. The dose-dependent biomarker data provide mechanistic support for the observed dose-dependent clinical improvements in FA patients.
The observed increases in both isoforms off frataxin protein, measured by different assays provide conclusive evidence that the increases in mRNA from DT216 treatment resulted in increases in frataxin protein. Protection M is predominantly membrane bound inside the mitochondria matrix. And Protexin E is largely found in mature red blood cells. Further, the protein has been described in the literature to have a half-life of over a week, and the persistence of protein levels 2 weeks after the last dose. This is consistent with the expected behavior of endogenous natural for tax in protein. The mRNA has a shorter half-life and it also makes sense that it would go back to baseline 2 weeks after the last dose.
Mature red blood cells have no nucleus and therefore, no target sequences for DT-216 and have an average lifespan of approximately 4 months. Therefore, the observed frataxin E increases can only come from erithrosic precursors in the bone marrow that were exposed to drug in the few weeks since the beginning of dosing. And we estimate that Protexin protein increases are coming from the quarter to 1/3 of newly produced mature red blood cells that have been produced since the beginning of dosing.
It further confirms that DT216 is widely distributed. The individual responses in clinical measures by USS were best correlated to blood frataxin protein levels. DT 216 is generally well tolerated with serious adverse events or treatment discontinuations reported. All adverse events were mild or moderate. Adverse events considered possibly or probably related to DT216 occurring in more than 1 patient or mild-to-moderate transient ALT elevations observed in 3 patients, all of whom were asymptomatic with no associated increases in bilirubin. All 3 were on background omaveloxolone. As indicated, for example, in the KOL note from an analyst report, and I quote LFT increases with Sky Claris appeared to correlate with response in the clinical trial and may reflect an on-target metabolic effect rather than liver toxicity.
The broader implication is that AST/ALT elevations could potentially appear with other agents that restore fitaxin in the liver. Based on these data, we believe we have identified a suitable dose and route of administration had 1 MPK IV weekly to advance toward a registration path. The timing and venue of future data updates is TBD because of the shift in focus to registrational planning. We anticipate providing an update on registration plans in the fourth quarter of this year.
We want to sincerely thank the patients, the FA community and all of the people that have supported design for your part in pioneering these efforts to advance small molecule genomic medicines. Thank you very much.
[Operator Instructions] Our first question comes from Leonid Timashev with RBC.
2. Question Answer
Congratulations on the data. Just wanted to clarify something on the biomarker slide, it says that the statistical significance was against untreated individuals. Does that mean that this was the patient baseline? Or was there another cohort being compared to? And then maybe just a follow-up on that. Can you just help contextualize for us some of the benefits that you saw across these functional endpoints, maybe but the variability on a normal MFAR might be in the significance of that 6 points.
Yes, in relation to the biomarker, as is typical when a value of frataxin, all of these values are normalized to patients baseline, and so you're observing kind of increase over baseline or percent of baseline. The comparison was done to values measured in untreated individuals over time to understand the typical longitudinal variability in the FA patient population.
And on the second question, your second question about MFAR variability. The variability is shown in the data in the graph. It's a striking effect. These levels of changes that are far beyond anything ever observed in FA studies. And if you look at the applicability score component of the fires that is known and acknowledged to be the least variable component of mFARs. And in the upright stability score, there are published papers showing that across all previous studies in FA, the placebo groups don't really move very much and that a 1-point improvement in U.S. would be beyond 95 percentile confidence interval of any previous study seen.
And so that gives us a sense of how these data map, and that's actually 1 reason why we conducted some of these post Hawk statistical evaluations to confirm that these changes are striking as we can see.
Next question comes from Costas Valaris with Oppenheimer.
Congrats on the strong data. Maybe a couple of questions from us. The first 1 is, given these impressive clinical effect you observe -- would you say that some of this effect comes from drug penetration and effect in other tissues beyond the blood and the muscles that you measure? And the second question is although you touched on a little bit on that, can you talk a little bit about the individual level correlations between biomarkers and clinical endpoints. Thank you and congrats again.
Thank you so much, Costas. I think on your first question, yes, we have observed in preclinical studies the DT 26 is widely distributed across all affected organs and throughout the body. And we think it is quite plausible and very reasonable infer that based on these clinical effects observed that these may well be coming from the wide distribution properties of DT 216 beyond the specifically measured organ systems where we can generate direct evidence of target engagement.
And we know that from preclinical studies, the DT216 is CNS penetrant. On your other question, it's interesting. This is probably the first time that 1 can actually go back and see if the predictive surrogate markers from the natural history studies, how they actually fared in regard to having a relationship with observed clinical effects. And we have done an analysis on individual responders in the clinical measures or responses in clinical measures by U.S. and they were best correlated to blood frataxin protein levels, which is exactly what has been at the center of the natural history studies that concluded or demonstrated that blood protein would be a good surrogate. And as long as it's endogenous blood protein.
Our next question comes from Adam Vogel with Craig Hallum.
Congratulations team on the solid data. So given FA is typically a slowly progressive disease, what's the biological rationale here for seeing this degree of improvement after only 4 weeks of dosing, and then just maybe quickly on durability and long-time longer-term dosing. Should investors expect continued improvement with longer treatment or stabilization after initial dosing or maybe even some attenuation over time?
Thank you so much. I mean the biological rationale has always been that in a monogenic disease, where we know exactly what the root cause is and its low quantities for tax in we've taken the approach of having a molecule that engages the GA repeat expansion, increasing frataxin expression, that's endogenous, and the prediction had been that this type of biomarker activity would translate to clinical benefit. So this mechanistic chain where you have the target, the biomarker and the clinic that's exactly the thesis that we've been building towards.
And we have seen in medicine that when one can provide a therapy that directly replaces something that might have been missing naturally or can cause the body to produce the natural missing quantities of protein that it is actually precedented in a sense that those types of interventions can have significant therapeutic effects.
I think on your question about duration, of course, it remains to be determined. It is a progressive disease, you know, mitochondria are expected to rapidly respond, but our goal remains to try and provide a best-in-disease profile therapy as we continue to develop this program, and it remains to be seen exactly how that plays out. But in the case of the approved drug, the response is also seen early at 4 weeks and essentially sustained through the duration of the pivotal study period at week 48. So we consider that to be encouraging.
Our next question comes from Joe Schwartz with Leerink Partners.
And congrats on the exciting results I was just wondering how uniform are the clinical benefits that you've seen in the 1 mg per kg cohort. Were all patients clear responders? Or was the mean 6.4 point benefit driven by any outliers? And then given upright stability score is part of mFARS, I'm just wondering how much of the total 6.4-point benefit was explained by the 2.7 point improvement and how much might have come from the other components like ballbar upper limb and lower limb components?
Yes, Joe, the -- on the mFARs, all of the patients in the 1 mg per kg cohort showed improvement. So this was, I think, broadly observed. You can see from the numbers that the USS is 2.7 versus the 6.4 million points improvement, so that's slightly less than half of the improvement in mFARs, but we also saw improvements on the other scales. Additionally, in the promise actually, again, all 4 of those patients saw improvements on promise and 3 of those 4 saw improvement above 5-point improvements, which is certainly well above the 3 points typically thought of for minimal important change using this measure.
And then if I could just squeeze 1 more in. Will you report any more data from RESTORE FA in the second half, such as more patients getting the IV or results from subcu or even response exposure analysis showing how to correlate the concentrations that patients are achieving and blood or muscle compares to what you thought you needed to achieve to get this kind of effect and maybe even correlations between for frataxin and functional changes?
Yes. The RESTORE FA study will continue to stay ongoing. -- for -- to support dosing for more extended periods than we've shared data from the timing, we will anticipate -- we do plan to share more data in the future, but the timing and the venue of future data updates is still to be determined. We believe we have an active dose and route of administration that we would like to advance toward registration.
And of course, during the ordinary course of development, it would be natural for us to plan to explore other parameters to understand the various variables, for example, maybe potential future regimens, potentially less frequent dosing intervals, subcu administration, we view all of those topics as not on the critical path.
Our next question comes from Ionnis Souroutzidis with Cantor Fitzgerald.
Folks, appreciate the time today, and congrats getting on the stellar data here. Two quick ones, I guess. One, could you maybe walk through a little bit more carefully how the baselines were, I guess, calculated with regards to the biomarker changes, as you mentioned, have been versus natural history. And was that same methodology applied for the functional endpoints as well? And then I have 1 quick follow-up.
I think I understand your question is just what were the baselines and the baselines of these patients, it is an all-comer study. So certainly a broad range but within expected values of the natural history study. And all of these values are normalized to baseline. This is typical for both the clinical and the biomarker endpoints in Friedreich Ataxia and really the best way to analyze this data is to look at change from a patient's own baseline. Does that answer your question, Ioannis?
I think so, but just to confirm, the changes we are seeing here are then directly tied back to the patient's own baseline or to a kind of cohort analysis of natural history and how those SP1 End points change over time?
No, this is all correlated with the patient's own baseline measured prior to the start of dosing.
Understood. Okay. And the follow-up was just between the M&E isoform, obviously, much more kind of time to blood cell turnover I guess, is there a particular reason you guys see such a congruence between the 2 versus maybe having larger increases in FX?
Well, they are both made from the same gene. And so that would explain the congruence because once you dial up the gene it would be natural for the RNAs to be made in all of the natural isoforms to be made. And so to us, this is all consistent with what the literature says.
And again, congrats, truly outstanding here.
Our next question comes from Faisal Khurshid with Jefferies.
I just want to ask a few quick questions on regulatory progress. So one, what does the time line look like for engaging with the FDA? Do you plan to seek breakthrough designation? And then lastly, is there any longer-term follow-up data from either the Phase I or from preclinical work that would be gating to a pivotal study?
Thank you. Well, with this recent data, this is the type of data we've been waiting for in order to develop a plan for advancing various things forward. Of course, as we think about the plans toward registration, it will involve all kinds of factors, including potential discussions with regulators. At this stage, given that we just got this information, we need time to kind of put all that together and put some thought into it. And so that's why we're planning to provide an update on these plans in the fourth quarter of this year. And I think yes, and all the things you mentioned are now on the table.
Our next question comes from Yasmeen Rahimi with Piper Sandler.
Congrats on the outstanding data. A few questions. One is were you able to within the cohort of patients to see that the patients who had an improvement in the most greatest for taxi levels across RNA protein model also exhibited sort of the greatest response in mFARS, sort of the correlation between these biomarkers as well as clinical end point Second question is I would appreciate, I don't know, 2 people have been paying us asking, what are the absolute free tax and protein levels at baseline and end of treatment.
And then the third one, is this validation is not only important for the FA program, but sort of big picture validation of the Gene Tap opportunity. Would love to hear your thoughts, how you're thinking about with this data set, what it means for building out the pipeline?
Okay. Thank you for the question. On your first question, yes, we did look at correlations across various clinical and various measurement approaches to the increases in endogenous for taxi. And interestingly, the individual responses in clinical measures really show up most clearly in U.S. That's because that's the least responsive to placebo. And of all the different ways of measuring frataxin perhaps as predicted by the natural history study, it's the blood of frataxin protein that best correlates the clinical responses at an individual level to the blood frataxin protein responses.
So I think that's a learning from that type of analysis. I think on your other question about the platform. Certainly, for the first time, seeing validation of the platform clinically is very exciting. And it certainly strengthens our conviction in the GeneTAC molecule approach. We have other programs, as you know, in various other monogenic conditions.
On the other hand, of course, every program's molecule is unique. And so each program has its own considerations, but certainly, a very exciting day for design to have this type of clinical validation. Sorry, I think you may have 1 more question that I missed, you want to...
Absolutely. Just a question around absolute changes in the...
So on that point, the we've described in the past and as most thoroughly in the last quarter's update, that because there are no agreed normalization quantitative standards in the FA protein measurement field. It is not possible to provide a cross-company comparator common Y axis, okay? So that's just not -- that's work that's just not been done and not possible. However, One thing that we've done a lot of work on is we ran studies in untreated patients and healthy individuals to understand the performance of these various assay systems to not only look at the assay variability, but also the relative levels in different settings.
And one of the conclusions we shared from those studies is that it's the whole blood mRNA assays that are the tightest and have the least overlap between patient levels or frataxin and healthy carriers. And so maybe to just -- you've seen, I think, in this biomarker data, a 65% increase in that parameter in whole blood frataxin mRNA. And just to share some benchmarks from the reference studies we ran, the 90th percentile increase in FA patient population untreated was about a 24% higher level than average, that's within the patient population and that the healthy carrier range in that assay system began at about a 46% increase relative to the patient population.
So I think that gives you a sense as a matter of context, and those numbers are different across different assays and different levels of variability, but we believe that the whole blood frataxin mRNA assay is best suited to understand the 216 induced frataxin in the context of the broader population.
Thank you. I'm showing no further questions at this time. I'd like to turn the call back over to Pratik Shah, CEO, for closing remarks.
Thank you very much. Well, we are Again, very appreciative of everyone joining us this morning and for your questions. Before we close, I just want to thank the patients, the families and the investigators in RESTORE FA. You made this morning possible, and the FA community is the reason that this work matters. We look forward to updating you in the months ahead. Have a good day. Thank you for your participation. You may now disconnect.
Design Therapeutics Inc — Special Call - Design Therapeutics, Inc.
Design Therapeutics Inc — Q1 2026 Earnings Call
1. Management Discussion
I'm Pratik Shah, CEO of Design Therapeutics. During this presentation, we will use forward-looking statements with regards to our business, R&D activities and financial conditions, which are subject to known and unknown risks and uncertainties. Actual results may differ materially due to various important factors, including those described in the Risk Factors section of our most recent Form 10-Q filed with the SEC.
Given the nature of the interest in the FA program and the design of the RESTORE-FA trial, we're delighted to provide a general update on our FA program, the key objectives of the RESTORE-FA study and the multiple biomarker endpoints being evaluated. And we're using this quarter's update to provide further context on how we're thinking about the study. The trial is proceeding well, and we're looking forward to data in the second half of 2026.
As a reminder, FA is a debilitating condition, which is caused by mutation in a single gene called the frataxin gene. The mutation causes low levels of production of frataxin, which causes all kinds of downstream dysfunction in multiple organs. There is an approved drug for FA called omaveloxolone, which targets Nrf2 and not frataxin. The mutation causing FA is a GAA-GAA repeat expansion in the first intron of the frataxin gene, which causes the level of normal mRNA to be low and therefore, levels of protein to be low. DT-216 is a heterobifunctional gene-targeted chimera or GeneTAC small molecule that is designed to recognize these long GAA repeat expansions and dial up normal frataxin RNA transcription.
Cellular data suggests a hypothesis that 10 nanomolar levels may be sufficient to increase frataxin as long as there is sufficient duration of exposure. So the green bar is 10 nanomolar of drug on iPSC, patient-derived terminally differentiated neuronal cells, and it shows that these levels increase mRNA and protein. The orange bar shows 100 nanomolar. While 100 nanomolar looks better initially, as long as there is sufficient duration, 10 nanomolar appears to give full pharmacology in cells.
What do we know about what drug levels may be sufficient in humans? So from our previous clinical studies from 2023, plasma exposures at day 2 are approximately 40 to 75 nanomolar and correspond to approximately 8 to 10 nanomolar drug levels in muscle. Our day 2 response data show that this results in an unmistakable increase in frataxin RNA expression. The frataxin levels drop off after day 2 because the drug is gone.
And what we see here is a single-dose pharmacokinetic profile from the current drug product, DT-216P2. And in the purple curve, approximately 40 milligrams gives us sustained levels of 40 to 75 nanomolar all the way till the end of 1 week, supporting weekly dosing, in which, with multiple doses, it would be expected to build to a higher steady-state level. So based on these exposures, we started a multiple ascending dose study in FA patients called RESTORE-FA. The trial is proceeding well, and we are looking forward to data in the second half of 2026. Accordingly, with this quarter's update, we're using the following slides to walk through additional elements of the trial design ahead of sharing data in the second half of this year.
So this is the dosing design in the RESTORE-FA study in patients with FA. So when we began the study, we had 4 weeks of non-clinical tox coverage. This was mid last year. And for both that reason and in order to get to the target exposures more quickly that we showed 2 slides ago in the purple line, the escalations go from 0.1 mg per kg to 0.3 mg per kg to 0.6 mg per kg in the 4-week context. And as a reference, the approximately 40-milligram single-dose PK from the single ascending dose trial in healthy volunteers is the 0.6 mg per kg dose level.
In order to generate additional exposure, we have started a 1 mg per kg group in 4 weeks, and to enable 12-week data update in the second half, we have also incorporated 12-week treatment cohorts, including the 1 mg per kg group. We expect additional cohorts in the 12-week dose group, because the PK projections do support additional dose levels within the non-clinical safety exposures.
The subcu infusion dosing details are still being determined. Because the IV is fully bioavailable, we preferred using the IV first to determine dose levels ahead of subcu cohorts. As we have mentioned before, we are evaluating endogenous frataxin levels in both blood and muscle by looking at mRNA and protein. As is customary in clinical trials involving patients, we have included clinical exploratory endpoints, including mFARS or the Modified Friedreich Ataxia Rating Scale, which is commonly used in studies with FA patients, and was used by the omaveloxolone trials for initial approval. Upright Stability Score, or USS, is a component of mFARS, that's being used by the approved drug as a primary endpoint in the BRAVE study.
Fatigue is an important complaint for patients living with FA, and in particular, we're using a PROMIS Fatigue Scale, which is considered a validated patient-reported outcome and has been used in a variety of disease areas and multiple regulatory submissions.
The purpose of the RESTORE-FA study for us is, you know, threefold. One, to provide a go, no-go on the FA program. Two, to hopefully establish a clinical proof of concept. And three, to inform the regulatory path and probability of a potential future approval. Now in general, there are two broad regulatory frameworks. Under an accelerated framework, a particular single frataxin biomarker measurement is chosen as a primary endpoint, which would be based on potential future regulatory alignment.
So our goal with RESTORE-FA is to take the data from four measures across blood and muscle and mRNA and protein and zero in on a single biomarker as the potential primary surrogate reasonably likely to predict clinical benefit. Further, since observing clinical benefit would be expected under either framework eventually, it would be helpful to understand possible clinical endpoints that could be used to support a potential accelerated path and provide the basis for eventual full approval.
So the pathogenic cascade is shown here with the disease starting with an intronic mutation in the frataxin gene in the DNA. Now because the pre-mRNA made from the mutant gene is different, but the spliced mRNA is identical to the wild-type mRNA, just lower in quantity, our assay is specific to the spliced wild-type mRNA. Once the spliced mRNA is made, the rest of the cascade is intact in patients with FA. So patients make protein normally, lower in quantity, and both mRNA and protein are measured in the clinical trial.
Now we've reported in the past that the protein made in cellular systems by treating with an FA GeneTAC molecule is functional, as measured by increases in downstream effects like cis-aconitate levels, and that's in the science paper, and by increasing mitochondrial function as measured by cellular respiration and oxygen consumption by the cells. This was reported by us at a scientific meeting. And as shown in this cascade, clinical effects would be downstream of the cellular effects, and they are being assessed in the clinical trial.
Now an area to spend a moment on is our choice of various measures of frataxin as a biomarker. The first point to address is, why we selected whole blood and muscle to measure frataxin response. Well, endogenous whole blood protein was chosen, because it is the tissue and biomolecular analyte that is at the center of the natural history data, which has been generated to establish frataxin as a reasonably likely surrogate for predicting clinical effects in the literature, and therefore is the most robust biomarker from a future regulatory alignment point of view.
Now there is some data using whole blood RNA, and unfortunately, very little information about muscle RNA or protein in the literature. So eventually, when a single analyte is chosen, we believe, for purposes of regulatory alignment, it would potentially need to bridge to blood protein to directly reference the natural history studies. But the muscle biomarkers were chosen, partly because we had the assay from our previous studies, and it is another affected tissue.
The second question is, do we know how these different assays perform with regard to longitudinal variability and assay variability? In other words, if one were to measure the same analyte in the same tissue at 2 different time points, how do these assays perform? As we had mentioned previously, we've been running studies in the background with the biomarker assays in untreated patients and healthy individuals to assess both assay performance and intra-patient variability. In general, these assays perform acceptably, although blood assays are tighter than the muscle biopsy-based assays.
As far as how to think about evaluating frataxin responses, for reasons noted both in the footnote and the cited paper, it's noted there's no normalized standards in the FA field, and because of things like assay variability and other such factors, change relative to baseline is considered the more robust readout in interventional trials rather than absolute frataxin thresholds. You can see that in the quote below. So we plan to report data in the second half based on change from baseline.
Now a third question we get on the biomarkers is, well, which of these assays can be best used to determine whether the drug effect gets into a carrier range? And to answer that question, we have compared levels by each of these assays to find the best one to answer that question, and the blood mRNA assay has the least observed overlap between patient and carrier levels, making that assay, in our opinion, best suited to make such a determination.
Well, how much frataxin do we believe is enough? No one really knows the definitive answer to this question yet, because no one has increased endogenous frataxin production. The answer will ultimately come from correlations between therapeutic clinical effects and frataxin levels. The natural history studies suggest that differences in frataxin levels between patients correlate as a continuous variable with all major clinical outcomes like age of onset, when is loss of ambulation, disease severity, disease progression. And further, based on commentary from other sponsors like Lexeo, it appears that they have alignment on the accelerated development pathway with frataxin expression as a co-primary endpoint to be evaluated for any increase from baseline rather than a numeric threshold.
So for the biomarker readouts, there are three central questions that we are attempting to answer with the RESTORE-FA data. Does DT-216 increase frataxin mRNA using either tissue? Does 216 increase frataxin protein using blood or muscle? And does it have activity in both blood and muscle using either mRNA or protein? The biomarker data scorecard is therefore on the right. The data readout will inform whether DT-216 checks zero, one, two, or all three criteria.
While it's not expected in the study at this stage to observe any clinical benefit, any clinical trends, if observed, could be useful for designing future clinical studies. Ultimately, correlations of these clinical measures with frataxin levels will have to be used to understand how much frataxin increases are indeed therapeutic.
To that end, this is a summary of the clinical observations that have been seen with mFARS, which is a clinician-administered tool used to measure neurologic dysfunction and disease progression in FA. mFARS was used by omaveloxolone in their pivotal study, which is called the MOXIe study, as a primary endpoint. And approximately 2.4 point group difference between treated and placebo at 48 weeks was observed.
This reflects a change from baseline of 1.56 points against a worsening placebo, which worsened by 0.85 points over 48 weeks. The 1.5 or 1.6 point change from baseline was observed at week 4 and 12, but the placebo had improved by approximately 1 point at those time points. Therefore, over 48 weeks, the treated arm maintained its change from baseline against a worsening placebo group since this is a progressive disease. And to our knowledge, thus far, Lexeo reports a 2 point improvement change from baseline with an N of 16 at 6 months, and Larimar has reported 2.25 point improvement over baseline with an N of 8 at 1 year. The approved drug uses upright stability score, a component of mFARS, as a primary endpoint in the BRAVE study. USS is considered the most objective, least variable component of mFARS.
And lastly, fatigue is an important complaint for patients living with FA, and we're using a validated PRO scale called the PROMIS Fatigue Scale, which is disease agnostic and has been used for various regulatory submissions for other drugs. A 3 point improvement is cited in the publication below as an MIC or minimal important change.
Well, this completes our FA update. We look forward to the results of the RESTORE-FA study in the second half of this year.
Design Therapeutics Inc — Q1 2026 Earnings Call
Financial data from Design 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
| Jun '26 |
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| Revenue | - - |
-
100%
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| - Direct Costs | - - |
-
-
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| Gross Profit | - - |
-
-
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| - Selling and Administrative Expenses | 21 21 |
4%
4%
-
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| - Research and Development Expense | 59 59 |
7%
7%
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| EBITDA | -79 -79 |
6%
6%
-
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| - Depreciation and Amortization | 0.62 0.62 |
0%
0%
-
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| EBIT (Operating Income) EBIT | -79 -79 |
6%
6%
-
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| Net Profit | -71 -71 |
12%
12%
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In millions USD.
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Design Therapeutics Inc Stock News
Company Profile
Design Therapeutics, Inc. operates as a biotechnology company that develops therapies for serious degenerative disorders. It is created to design, develop and commercialize a novel class of small molecule therapeutic candidates (GeneTACs) designed to directly address the underlying basis of genetic disease. The company was founded on December 18, 2017 by Pratik Shah and Aseem Z. Ansari and is headquartered in Carlsbad, CA.
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| Head office | United States |
| CEO | Dr. Shah |
| Employees | 54 |
| Founded | 2017 |
| Website | www.designtx.com |


