Altman Z-Score
Probabilistic Financial Distress & Bankruptcy Risk Assessment
The Altman Z-Score is the most widely used empirical model for predicting corporate financial distress and bankruptcy risk. Developed by Professor Edward Altman in 1968 and validated across thousands of companies over five decades, it combines five financial ratios into a single composite score that classifies a business as Safe, Grey, or Distress — with a documented 72–80% accuracy rate in predicting bankruptcy two years in advance. In Equitest, a Z-Score in the Distress Zone directly modifies the going-concern risk assessment and the company-specific risk premium in all downstream income approach valuations.
Compute Z-Score arrow_forwardThe Altman Z-Score — What It Is and Why It Matters in Valuation
In 1968, Professor Edward Altman of NYU Stern School of Business published what would become one of the most cited papers in financial economics: a multivariate discriminant analysis that combined five financial ratios into a single score capable of predicting corporate bankruptcy with significantly greater accuracy than any single ratio alone. In the five decades since publication, the Z-Score has been validated across manufacturing, retail, service, and financial sectors — and in emerging markets with modified versions of the original model.
For valuation practitioners, the Z-Score is not merely an academic curiosity — it is a required disclosure item in many professional appraisal contexts, and its output directly influences the valuation conclusion. A business in the Safe Zone (Z > 2.99) presents a going-concern profile consistent with standard income approach assumptions. A business in the Grey Zone (1.81 < Z < 2.99) warrants additional scrutiny and potentially a higher discount rate. A business in the Distress Zone (Z < 1.81) requires an explicit going-concern risk premium that elevates the WACC — or may require the Asset-Based approach to be given primary weighting over income methods.
Equitest computes the Z-Score automatically from the normalized financial data in Chapters 8–10, presents the result with a zone classification and historical trend, and automatically adjusts the company-specific risk premium in the WACC Build-Up when a distress signal is detected.
The Three Z-Score Zones
The Five Z-Score Factors — Formula and Interpretation
Altman's model weights five ratios — each capturing a different dimension of financial health — into a single composite score. Equitest computes all five from the normalized financials in Chapters 8–10.
X₄ = Market Cap (or Book Equity) / Total Liabilities · X₅ = Revenue / Total Assets
Worked Example — Z-Score Computation
Illustrative example. Equitest computes the Z-Score automatically from normalized financial data and presents the result with zone classification, historical trend, and valuation implications.
How the Z-Score Result Modifies the Valuation
The Z-Score is not a standalone academic exercise in Equitest. It produces actionable consequences in every downstream chapter depending on which zone the business falls in.
Standard Valuation Assumptions
Elevated Scrutiny & Modest Risk Premium
Material Going-Concern Premium
Z-Score Model Variants — Which Equitest Applies
Z-Score — Public Manufacturers
The original Altman model calibrated for publicly traded manufacturing companies. Uses market cap in X₄. Applied by Equitest when the company is public or where a market cap estimate is available.
Z'-Score — Private Companies
The revised model for private companies — replaces market cap with book value of equity in X₄ and recalibrates the zone thresholds accordingly. This is the primary model Equitest applies for closely-held business valuations. Safe Zone: Z' > 2.90; Distress Zone: Z' < 1.23.
Z''-Score — Non-Manufacturers
The further modified model for non-manufacturing and service businesses — removes the asset turnover ratio (X₅), which is structurally different in services, and recalibrates the weightings. Applied by Equitest for service, technology, and professional services companies. Safe Zone: Z'' > 2.60.