Altman Z-Score Calculator (Bankruptcy Prediction)
Altman Z-Score calculator. The 1968 5-factor bankruptcy prediction model. Safe/Grey/Distress zone classification with weighted financial-ratio decomposition. Used in credit analysis and workout for 50+ years.
Altman Z-Score Calculator
Z-Score decomposition
| Factor | Definition | Ratio | Weight | Contribution |
|---|---|---|---|---|
| X1 — Liquidity | WC / Total Assets | — | 1.2 | — |
| X2 — Cumulative Profitability | Retained Earnings / Total Assets | — | 1.4 | — |
| X3 — Operating Efficiency | EBIT / Total Assets | — | 3.3 | — |
| X4 — Market Leverage Buffer | Market Equity / Total Liab | — | 0.6 | — |
| X5 — Asset Turnover | Sales / Total Assets | — | 1.0 | — |
| Total Z-Score | — | |||
How to use the Altman Z-Score calculator
Gather 7 balance-sheet + P&L line items
You need: Working Capital (current assets − current liabilities), Retained Earnings, Total Assets, EBIT (operating income), Sales, Market Capitalization, Total Liabilities. All from the most recent 10-K or annual report; market cap from your broker. All in the same currency, ideally $ millions for typical company-scale precision.
Enter the values
Negative working capital is normal for some industries (retail with high payables, software with deferred revenue) — enter the actual value, negative or positive. Retained earnings can be negative for young firms or those with accumulated losses — also enter the actual value. The Z-Score formula handles negative values correctly.
Read the headline Z-Score
Three zones per Altman's 1968 paper: Z > 2.99: SAFE (low bankruptcy probability — historical ~95% accuracy at 1y). 1.81 ≤ Z ≤ 2.99: GREY (warning zone — heightened scrutiny). Z < 1.81: DISTRESS (~70% of these firms filed bankruptcy within 2 years in Altman's sample). The zone map shows where your firm sits on the 0-5 scale.
Study the decomposition table
The Z-Score is the sum of 5 weighted ratios. Look at the contribution column to identify which factors are dragging the score: low X3 (EBIT/Assets) = poor operating profitability. Low X4 (Equity/Liab) = high leverage. Low X1 (WC/Assets) = liquidity stress. Low X2 (RetEarn/Assets) = limited cumulative profitability (often young firms). Low X5 (Sales/Assets) = asset productivity problem.
Use Z-Score as a screen, not a verdict
Altman Z is a 1968 model for US public manufacturers. It works less well for: (1) Banks + insurance — different balance-sheet structure. (2) Service / software firms — asset-light. (3) Private firms — use Z' variant with book equity. (4) Non-US firms — different accounting standards. Treat the Z-Score as one input into credit analysis; combine with cash-flow analysis (FCF calculator) and qualitative factors (management, industry trajectory).
Altman Z-Score — the 1968 model still used in credit analysis worldwide
Edward Altman published the Z-Score in 1968 ("Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy", Journal of Finance 23(4):589-609). At 27 years old, the NYU finance professor used a then-novel statistical technique — multiple discriminant analysis — to find a linear combination of five financial ratios that best separated bankrupt firms from healthy firms in his sample. The resulting Z-Score has been so durable that 56 years later, it remains a workhorse in credit analysis at every major rating agency (Moody\'s, S&P, Fitch), every commercial bank\'s underwriting team, every distressed-debt fund, and every restructuring practice. Altman has updated the model multiple times (Z\' for private firms in 1983, Z\'\' for non-manufacturers and emerging markets in 1995), but the original 1968 Z remains widely cited.
What the five factors capture
X1 = Working Capital / Total Assets measures short-term liquidity. A firm with negative working capital may struggle to meet near-term obligations. Weight 1.2. X2 = Retained Earnings / Total Assets measures cumulative profitability — young firms or those with accumulated losses score low here. Weight 1.4. X3 = EBIT / Total Assets measures operating profitability — the highest-weighted ratio (3.3) because it\'s the single best predictor of distress in Altman\'s sample. X4 = Market Value of Equity / Total Liabilities measures how much the market thinks equity is worth relative to total liabilities — a 1.0 ratio means the market would just cover liabilities if everything liquidated. Weight 0.6. X5 = Sales / Total Assets measures asset turnover — productivity of the firm\'s capital base. Weight 1.0.
Altman\'s 1968 paper found that Z < 1.81 firms had a ~70% bankruptcy rate within 2 years. After 56 years and countless updates, the Z < 1.81 zone remains the credit world\'s "watch this closely" threshold.
When Z-Score fails
Three known failure modes. (1) Banks and insurance companies — their balance-sheet structure is radically different (high leverage by design, "assets" are loans not productive capital). Use bank-specific models (Texas Ratio, CET1 ratio analysis) instead. (2) Asset-light service / software firms — the 1968 sample was US public manufacturers. SaaS firms with negative working capital (deferred revenue), high non-cash revenue, and minimal physical assets distort the Z-Score in misleading directions. (3) Pre-revenue or hyper-growth firms — negative retained earnings (X2) and modest sales (X5) can produce false-positive distress signals for firms that are actually well-funded growth companies. The model was built for steady-state public manufacturers; adjust expectations for other contexts.
Z\' and Z\'\' variants
Altman published Z\' for private firms in 1983: replaces market equity in X4 with book equity, and uses different weights. Z\'\' for non-manufacturers and emerging markets in 1995: drops X5 (sales/assets) entirely because asset turnover varies too much across non-manufacturers, and reweights the remaining four factors. For ASEAN firms in particular, Z\'\' is often more appropriate than the original Z. Altman has continued refining the framework into the 2010s with research on country-risk-adjusted variants. The original 1968 Z remains the most-cited version, but professional credit analysts use the appropriate variant for each context.
10 Things to Know About Altman Z-Score
Published 1968 by Edward Altman in Journal of Finance. The first practical bankruptcy prediction model.
Used by every major rating agency (Moody\'s, S&P, Fitch), commercial banks, distressed-debt funds, and restructuring practices for 56+ years.
Z > 2.99 = SAFE, 1.81-2.99 = GREY, < 1.81 = DISTRESS. Three zones from Altman\'s 1968 paper.
Original 1968 sample accuracy: 95% at 1y, 72% at 2y. Robustly validated across decades.
5 factors weighted by discriminant coefficients: 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5. EBIT/Assets carries the most weight.
Z\' (1983) for private firms uses book equity. Z\'\' (1995) for non-manufacturers and emerging markets.
Doesn\'t work for banks, insurance, asset-light SaaS, pre-revenue firms. Use sector-specific models for those.
Altman was 27 years old when he published the original paper. NYU finance professor for 50+ years since.
The model uses multiple discriminant analysis — a statistical technique that finds the linear combination best separating two groups.
Z-score is a screen, not a verdict. Combine with cash flow analysis, qualitative factors, and industry context for credit decisions.
Frequently asked questions
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In Altman\'s 1968 original study of 66 firms (33 bankrupt + 33 healthy): 95% correctly classified at 1-year horizon, 72% at 2-year, 48% at 5-year. Subsequent out-of-sample validation studies have generally confirmed these accuracy levels for US public manufacturers. Accuracy degrades for non-manufacturing firms, non-US firms, and pre-revenue / hyper-growth firms — where the underlying assumptions break down. Treat the Z-Score as one credible input among many, not as a definitive verdict.
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With caveats. The original 1968 Z was calibrated on US public manufacturers from 1946-1965. For modern non-US firms, the better choice is often Z\'\' (1995), which Altman developed specifically for non-manufacturing and emerging markets. The general principle (5 weighted financial ratios) transfers; the specific weights and zone thresholds may differ. For ASEAN firms, academic studies have validated modified versions (e.g. Altman, Hartzell, Peck 1995 for emerging markets) with regional adjustments. As a quick screen, the original 1968 Z still produces useful signals for ASEAN large-caps.
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The Grey zone (1.81 ≤ Z ≤ 2.99) is the "warning but not distress" range. Altman\'s 1968 paper classified Grey-zone firms as a separate uncertain group — neither clearly safe nor clearly distressed. In practice: (1) Investigate the decomposition to identify which factors are dragging the score. (2) Check the trend — is the firm moving toward Distress or toward Safe? Multi-year Z-Score time series is more informative than a single snapshot. (3) Triangulate with other metrics — Interest Coverage Ratio (EBIT/Interest), Debt-to-EBITDA, free cash flow trajectory. (4) Watch credit ratings — Moody\'s, S&P ratings + outlook changes often precede Z-Score signals.
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Banks have a fundamentally different balance-sheet structure. Their "total assets" are mostly loans, not productive capital generating sales — so X5 (Sales/Assets) is meaningless. Their "working capital" concept doesn\'t apply (deposits are core funding, not short-term financing). Their leverage is structurally high by design (10-15× equity multiplier) — flagging high leverage as bankruptcy risk would call every bank bankrupt-imminent, when most are normally healthy. For banks, use sector-specific models: Texas Ratio (NPLs + REO / Tangible Common Equity + Loan Loss Reserves), CET1 ratio trends, NPL ratio, Net Interest Margin stress.
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Altman published Z\' in 1983 specifically for non-public firms. It replaces X4 = Market Value of Equity / Total Liabilities with X4\' = Book Value of Equity / Total Liabilities (since private firms don\'t have a market cap). The weights are recalibrated: Z\' = 0.717·X1 + 0.847·X2 + 3.107·X3 + 0.420·X4\' + 0.998·X5. Zone thresholds also shift: Z\' > 2.9 SAFE, 1.23 ≤ Z\' ≤ 2.9 GREY, Z\' < 1.23 DISTRESS. The current calculator uses the original 1968 Z (for public firms). For private firms, use book equity in the market equity field as a rough proxy — accuracy will be approximate.
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Merton model (1974) uses option-pricing theory — equity is a call option on firm assets with strike = total liabilities. Default occurs when asset value falls below liabilities. KMV (now part of Moody\'s Analytics) commercialised Merton with proprietary historical default databases — produces an "Expected Default Frequency" probability number rather than a categorical zone. Both Merton and KMV are more theoretically rigorous than Altman Z, but require harder-to-source inputs (asset volatility) and more complex math. For quick screening, Altman Z\'s simplicity wins. For pricing distressed debt or default swaps, Merton/KMV dominates.
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Negative working capital (current liabilities > current assets) sounds alarming but is normal in some industries. Retail: Walmart, Costco have negative WC by design — they sell inventory before paying suppliers. SaaS: deferred revenue (cash received before service delivered) is a current liability inflating CL above CA. Negative WC = customers + suppliers funding the business = capital-efficient. For credit analysis: negative WC at distressed firms = liquidity stress; at retail / SaaS = business model strength. Z-Score weights WC at 1.2, which is moderate — extreme negative WC will hurt the score but not catastrophically.
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Roughly. The 95%/72%/48% accuracy at 1/2/5 year horizons means Z-Score is most accurate as a short-term signal. A firm scoring Z = 1.5 today is much more likely to file bankruptcy within 12 months than within 5 years. The Z-Score doesn\'t output a precise default-date estimate (Merton/KMV models do). For trajectory analysis, track Z over multiple periods — a deteriorating Z from 2.5 to 2.0 to 1.5 over three years is more concerning than a stable 1.7. Watch for "Z-Score migration" — firms moving from Safe to Grey are early warning signals; from Grey to Distress are urgent.
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No. All 7 input values (WC, RE, EBIT, sales, market equity, total assets, total liab) stay in your browser. The Z-Score computation + zone classification + decomposition table run as client-side JavaScript. Open DevTools → Network when you click Calculate and you\'ll see zero outbound requests. Safe for confidential credit analysis.
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Altman EI. "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy." Journal of Finance 1968;23(4):589-609. DOI 10.1111/j.1540-6261.1968.tb00843.x. Altman EI. Corporate Financial Distress and Bankruptcy (3rd ed., 2006) covers Z, Z\', Z\'\' and modern extensions. Altman\'s NYU faculty page maintains his updated working papers including emerging-market variants. Modern textbook treatment: Schroeck G\'s Risk Management and Value Creation in Financial Institutions.
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