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EducationMarch 25, 2026·5 min read·By David Park

The Altman Z-Score: Predicting Bankruptcy Before It Happens

The Altman Z-Score predicts financial distress using five ratios. Learn how to calculate it, interpret the zones, and use it as a screening tool.


In 1968, Edward Altman published a formula that could predict corporate bankruptcy with roughly 80–90% accuracy — and we use similar financial health metrics in our quality scoring. The up to two years before it happened. The Altman Z-Score combines five financial ratios into a single number that measures how close a company is to financial distress. Over five decades later, it remains one of the most widely used credit risk tools in finance.

For stock investors, the Z-Score serves a different but equally valuable purpose: it helps you avoid companies that look cheap but are actually heading toward financial distress. A stock trading at 5× earnings with a Z-Score in the danger zone isn't a bargain — it's a bankruptcy candidate.

The Five Ratios

The Z-Score formula for public manufacturing companies is: Z = 1.2A + 1.4B + 3.3C + 0.6D + 1.0E, where each letter represents a financial ratio.

A = Working Capital / Total Assets. This measures short-term liquidity. Companies with negative working capital are using short-term borrowing to fund operations — a sign of financial strain. B = Retained Earnings / Total Assets. This captures the cumulative profitability of the business over its lifetime. A company with high retained earnings relative to assets has been consistently profitable.

C = EBIT / Total Assets. This measures operating productivity — how efficiently the company's assets generate pre-tax profit. It's the most heavily weighted component (3.3× multiplier) because operating earnings power is the best predictor of whether a company can service its obligations. D = Market Value of Equity / Total Liabilities. This is a market-based solvency measure — how much the market values the company relative to its debts. E = Sales / Total Assets. Asset turnover measures how efficiently the company generates revenue from its asset base.

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Interpreting the Score

Z-Score above 2.99: Safe zone. The company shows no signs of financial distress. Most quality companies with strong balance sheets score well above 3.0. Z-Score between 1.81 and 2.99: Grey zone. The company shows some signs of stress but isn't in immediate danger. Further analysis is warranted. Z-Score below 1.81: Distress zone. The company has a meaningful probability of bankruptcy within the next two years. Avoid unless you're a specialized distressed-debt investor.

Using the Z-Score as a Screen

The most practical use of the Z-Score for stock investors is as a negative filter — screening out financially distressed companies before they show up as false bargains in your value screens. Add a minimum Z-Score of 2.5 (or 3.0 for extra safety) to any value screen that filters for low P/E, low price-to-book, or high dividend yield. This single filter eliminates most value traps caused by impending financial distress.

Gurufocus calculates Z-Scores for most public companies. You can also compute it manually from balance sheet and income statement data available on Stock Analysis or SEC EDGAR. For a broader quality assessment that incorporates financial health alongside competitive advantages and profitability, platforms with composite quality scores effectively capture what the Z-Score measures as part of a more comprehensive evaluation.

Limitations

The original Z-Score was designed for manufacturing companies. Altman later published modified versions for non-manufacturing firms and private companies, but the general formula is less reliable for banks, insurance companies, and asset-light businesses where the balance sheet ratios have different dynamics.

The Z-Score also can't predict sudden distress caused by fraud, litigation, or regulatory action — events that don't show up in the financial ratios until it's too late. It's a backward-looking indicator based on the most recent financial statements, not a crystal ball. Use it as one input in your analysis, not as a standalone safety check.

💡 MoatScope's Financial Health pillar captures balance sheet strength, leverage, and liquidity as part of the seven-pillar Quality Score — helping you avoid financially distressed companies across 2,600+ stocks.
Tags:altman z scorealtman z score screenerbankruptcy predictionfinancial healthfundamental analysisstock screener

DP
David Park
Growth & Quality Metrics
David focuses on quality scoring, return on capital, profitability trends, and what makes a stock worth holding for the long run. More articles by David

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