Altman Z-Score Calculator

Altman Z-Score Calculator helps credit analysts, equity researchers, lenders, and finance students turn scattered inputs into a defensible Altman Z-score estimate. The page is designed for practical analysis rather than abstract definition: enter the relevant source figures, then review both the headline result and the supporting metrics. Because the calculation is shown on the page, the result can be checked, repeated, and compared across scenarios instead of treated as a black box. The core formula is Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5. The five ratios measure liquidity, accumulated profitability, operating profitability, market leverage, and asset turnover. The page compares the resulting score with the classic public-manufacturing cutoffs: above 2.99 is safe, 1.81 to 2.99 is grey, and below 1.81 is distress. Optional fields are left out when blank, and required fields must be positive where the denominator, principal, income, or time period would otherwise make the result meaningless. That behavior is useful for early planning because a partial case can still be modeled without pretending that every input is known. It also makes sensitivity analysis straightforward: change one assumption at a time and watch how the Altman Z-score estimate responds. Common use cases include screening bankruptcy risk, comparing leveraged industrial companies, teaching credit ratios, flagging borrowers for deeper review, and documenting why profitability, leverage, and sales efficiency matter together. In each case, the point is not just to produce a number, but to understand what drives that number. The most sensitive input depends on the metric: rates and terms drive time-value calculations, denominators drive per-unit metrics, deductions and exemptions drive tax estimates, and timing assumptions drive valuation or return measures. The examples below use realistic inputs and show the arithmetic outcome so the method is easy to audit. A high score usually combines positive working capital, retained earnings, EBIT, market value coverage, and sales productivity; a low score often reflects weak profitability or heavy liabilities. The Altman Z-score estimate is most reliable when the inputs use the same period, entity, and accounting basis. Avoid mixing annual and monthly values, book and market values, pre-tax and after-tax figures, or gross and net amounts unless the label explicitly calls for that treatment. The original Z-score model was calibrated for publicly traded manufacturing firms, so private companies, financial institutions, REITs, startups, and asset-light businesses may need different versions or additional analysis. Use the result for education, screening, and scenario comparison, then verify consequential filings, financing choices, investment decisions, or contracts against authoritative source documents.