Altman Z-Score & Piotroski F-Score

Analyzing individual financial ratios is valuable, but sometimes you need a single, comprehensive verdict: is this company financially strong or financially fragile? That's the purpose of composite financial health scoring systems.

Two models stand above the rest: the Altman Z-Score for bankruptcy risk, and the Piotroski F-Score for financial quality. Together, they give you a rapid, multi-dimensional assessment of any public company's financial condition.

Altman Z-Score: Predicting Financial Distress

The Altman Z-Score was developed in 1968 by NYU finance professor Edward Altman. It combines five financial ratios into a single score that predicts the probability of corporate bankruptcy within the next two years with remarkable accuracy.

Originally developed for public manufacturing companies, adapted versions now cover non-manufacturing, private, and emerging market companies.

The Z-Score Formula

Z = 1.2(X1) + 1.4(X2) + 3.3(X3) + 0.6(X4) + 1.0(X5)

Where:

• X1 = Working Capital / Total Assets (liquidity)
• X2 = Retained Earnings / Total Assets (profitability history and leverage)
• X3 = EBIT / Total Assets (operating efficiency)
• X4 = Market Cap / Total Liabilities (market's valuation vs. obligations)
• X5 = Revenue / Total Assets (asset turnover efficiency)

Interpreting the Z-Score

What Each Component Tells You

Working Capital / Total Assets (X1): Measures short-term liquidity. Companies with sufficient current assets to cover current liabilities score well here.

Retained Earnings / Total Assets (X2): Measures cumulative profitability and leverage. Companies that have consistently retained earnings (rather than distributing all profits) build a financial buffer.

EBIT / Total Assets (X3): The most important component — measures core operational profitability relative to asset base. Companies generating strong EBIT from their assets are fundamentally sound.

Market Cap / Total Liabilities (X4): The market's implicit assessment of the company's ability to cover its debts. When market cap is large relative to liabilities, the market is expressing confidence.

Revenue / Total Assets (X5): Asset efficiency — how effectively the company uses its asset base to generate sales.

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Z-Score as a Screening Tool

Value investors frequently use the Z-Score to screen out financially distressed companies from their value screens. A cheap stock with a Z-Score below 1.81 may be cheap for good reason — it may be heading toward financial distress.

Use case: Filtering an insider buying list:

Piotroski F-Score: Measuring Financial Quality

The Piotroski F-Score was developed in 2000 by Stanford accounting professor Joseph Piotroski. It scores a company on nine binary criteria (each worth 0 or 1 point) across three dimensions: profitability, leverage/liquidity, and operating efficiency. The total score ranges from 0 to 9.

The Nine Criteria

Profitability (4 points)

Leverage, Liquidity & Source of Funds (3 points)

Operating Efficiency (2 points)

Interpreting the F-Score

Why the F-Score Works

The F-Score specifically measures year-over-year improvement — not just absolute levels. A company that improves on most of Piotroski's nine dimensions is showing positive operational momentum: profitability is increasing, leverage is decreasing, and operational efficiency is improving. These trends tend to continue.

Conversely, a company deteriorating on most dimensions (low F-Score) is likely to continue deteriorating — making it a risk for long investors and a potential opportunity for short sellers.

The Original Piotroski Study

In his original study, Piotroski showed that a simple strategy of:

• Buying high book-to-market (cheap) stocks with F-Score ≥ 7
• Shorting high book-to-market (cheap) stocks with F-Score ≤ 1

Would have generated a mean annual return 23% higher than the overall value stock universe over the 21-year test period. The F-Score is one of the most academically validated screening tools in quantitative finance.

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Using Both Scores Together

The Z-Score and F-Score serve complementary roles:

The ideal fundamental setup:

• High F-Score (7-9): Company is improving across the board — profitability rising, leverage falling, efficiency increasing
• Safe Zone Z-Score (above 3.0): Company is not at meaningful bankruptcy risk
• Undervalued by traditional metrics (low P/E, discount to DCF)

This combination — improving financial quality, no distress risk, and cheap valuation — is the foundation of classic high-quality value investing.

Ask Diplyzer to screen for both: