Altman Z-Score: Formula, Calculation & Bankruptcy Prediction

The Altman Z-Score is a statistical model developed by Professor Edward Altman at New York University in 1968 that predicts the likelihood of a company going bankrupt within two years. It compresses a company's financial health into a single number using five weighted financial ratios derived from discriminant analysis of historically bankrupt and surviving firms. The model has been backtested extensively and correctly classified 80–90% of bankrupt companies in out-of-sample tests across decades and geographies.

The Z-Score's enduring value lies in combining five dimensions — liquidity, cumulative profitability, operating efficiency, market solvency, and asset turnover — into one number that catches deterioration across multiple fronts simultaneously. No single ratio can do this. A company might have decent margins but terrible liquidity, or strong revenue but eroding retained earnings. The Z-Score weighs all five dimensions, making it one of the most robust single-number risk indicators available. UQS is one of the few platforms that shows the Altman Z-Score per stock — a genuine differentiator for risk-conscious investors.

Each variable captures a different dimension of financial health:

A = Working Capital / Total Assets — short-term liquidity. Companies with negative working capital are consuming more short-term resources than they have.

B = Retained Earnings / Total Assets — cumulative profitability and business maturity. Deep retained earnings indicate a long track record of profits.

C = EBIT / Total Assets — operating productivity. The most heavily weighted component at 3.3x, measuring how efficiently assets generate earnings.

D = Market Value of Equity / Total Liabilities — market-based solvency. How much the company's market cap exceeds its debts.

E = Revenue / Total Assets — asset turnover. How efficiently the company generates sales from its asset base.

The coefficients (1.2, 1.4, 3.3, 0.6, 1.0) were derived from statistical analysis of bankrupt vs. surviving companies, weighting each dimension by its predictive power.

Here's a step-by-step calculation example:

Suppose a company has: Working Capital = $200M, Total Assets = $1B, Retained Earnings = $400M, EBIT = $150M, Market Cap = $2B, Total Liabilities = $600M, Revenue = $900M.

A = $200M / $1B = 0.20

B = $400M / $1B = 0.40

C = $150M / $1B = 0.15

D = $2B / $600M = 3.33

E = $900M / $1B = 0.90

Z = (1.2 × 0.20) + (1.4 × 0.40) + (3.3 × 0.15) + (0.6 × 3.33) + (1.0 × 0.90)

Z = 0.24 + 0.56 + 0.50 + 2.00 + 0.90 = 4.20

A Z-Score of 4.20 places this company firmly in the safe zone (above 3.0). The strong D component (3.33) — market cap far exceeding liabilities — is the biggest contributor. A company with the same operations but a depressed stock price or high debt would score much lower.

The Z-Score divides companies into three zones:

Safe Zone (Z > 3.0): Very low probability of bankruptcy. The company has strong liquidity, profitability, and solvency across all five dimensions. Most blue-chip companies fall here.

Grey Zone (1.8 < Z < 3.0): Moderate uncertainty. The company shows some financial stress in one or more dimensions but isn't in immediate danger. Many cyclical companies land here during downturns.

Distress Zone (Z < 1.8): Elevated bankruptcy probability. The company's financial profile matches patterns seen in historically bankrupt firms. Multiple Z-Score components are likely weak or negative. This doesn't guarantee bankruptcy — many companies survive through restructuring or capital raises — but statistically, the risk is significantly elevated.

The model was originally designed for manufacturing companies. Modified versions exist for private firms and service businesses. For financial companies (banks, insurance), the Z-Score is less reliable because their balance sheets are structurally different — which is why UQS may null this metric for financials. See the safest stocks ranking for companies that pass all five risk checks.

The Altman Z-Score is combined with the Piotroski F-Score into a composite metric carrying 15% weight in the Risk pillar. The two models are complementary: the Z-Score takes a cross-sectional snapshot (comparing the company against known distress patterns), while the F-Score tracks whether financials are improving or deteriorating over time. Together they provide both a "where are you now?" and "which direction are you heading?" assessment.

The composite uses higher-is-better scoring: Z-Scores above 3.0 and F-Scores of 7–9 earn the highest marks. The UQS engine nulls this metric for certain financial-sector companies where the Z-Score model produces unreliable results. The remaining four Risk metrics — Net Debt/EBITDA, Debt-to-Equity, Current Ratio, and Interest Coverage — provide traditional ratio analysis alongside this academic model. Read the full UQS methodology →