Finance & Economics · Portfolio Management · Portfolio Analytics
Piotroski F-Score Calculator
Calculate the Piotroski F-Score to assess a company's fundamental financial strength across nine binary criteria covering profitability, leverage, and operating efficiency.
Calculator
Formula
Each of the 9 components is a binary signal (1 if the condition is met, 0 otherwise). F_{ROA} = 1 if Return on Assets > 0. F_{\Delta ROA} = 1 if ROA improved year-over-year. F_{CFO} = 1 if Cash Flow from Operations > 0. F_{ACCRUAL} = 1 if CFO/Assets > ROA (accruals check). F_{\Delta LEV} = 1 if long-term leverage ratio decreased. F_{\Delta LIQ} = 1 if current ratio improved. F_{EQ} = 1 if no new shares were issued. F_{\Delta MARGIN} = 1 if gross margin improved. F_{\Delta TURN} = 1 if asset turnover improved. The total score ranges from 0 (weakest) to 9 (strongest).
Source: Piotroski, J.D. (2000). 'Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers.' Journal of Accounting Research, 38, 1–41.
How it works
The F-Score is built on the premise that financial statement data contains predictive information about a company's future stock performance. Piotroski demonstrated that high book-to-market (value) stocks with strong fundamentals significantly outperformed those with weak fundamentals over subsequent years, even after controlling for standard risk factors. The score assigns a 1 or 0 to each of nine binary conditions, summing them into a composite measure of financial health ranging from 0 to 9.
The nine signals are grouped into three pillars. The Profitability pillar (4 signals) captures whether the company is generating positive returns: ROA > 0, improving ROA, positive operating cash flow, and cash earnings exceeding accounting earnings (low accruals). The Leverage, Liquidity & Source of Funds pillar (3 signals) checks that the balance sheet is not deteriorating: declining long-term leverage, improving current ratio, and absence of equity dilution. The Operating Efficiency pillar (2 signals) measures whether the business is becoming more productive: improving gross margin and improving asset turnover ratio.
Stocks scoring 8 or 9 are generally considered fundamentally strong candidates for long positions. Scores of 0–2 indicate serious financial weakness and are often flagged as short candidates. Scores of 3–7 fall in a neutral zone. The F-Score is most powerful when applied to universe of value stocks (high book-to-market) rather than to the entire market, as Piotroski's original research specifically targeted that segment. It is commonly used in systematic factor investing, fundamental screening, and due diligence workflows.
Worked example
Consider a mid-cap industrial manufacturer. From its latest annual report you extract the following data and answer each signal:
- ROA positive? Net income = $42M, Total assets = $310M → ROA = 13.5% → Yes (1)
- ROA improved? Prior year ROA = 11.2% → 13.5% > 11.2% → Yes (1)
- CFO positive? Operating cash flow = $58M → Yes (1)
- Low accruals? CFO/Assets = 18.7% > ROA 13.5% → Yes (1)
- Leverage decreased? Current year long-term debt ratio = 28%, prior year = 34% → Yes (1)
- Current ratio improved? Current year = 1.8x, prior year = 1.5x → Yes (1)
- No new equity issued? Shares outstanding unchanged → Yes (1)
- Gross margin improved? Current = 41%, prior = 38% → Yes (1)
- Asset turnover improved? Current = 0.72x, prior = 0.68x → Yes (1)
Total Piotroski F-Score = 9 / 9. This is a near-perfect score indicating strong profitability, improving balance sheet health, no dilution of existing shareholders, and rising operating efficiency. This company would pass rigorous fundamental screening for a long value position.
Limitations & notes
The Piotroski F-Score is a powerful screening tool but has well-documented limitations that practitioners must keep in mind. First, it is backward-looking: all nine signals are derived from historical financial statements, meaning the score reflects what has already happened rather than what will happen. A company can score 9/9 and still face sudden deterioration due to competitive disruption, management change, or macro shocks not visible in trailing financials.
Second, the model was specifically calibrated for high book-to-market (value) stocks. Applying it indiscriminately to growth stocks, technology companies with negative book value, or financial sector firms (whose balance sheet structure differs fundamentally) can yield misleading results. Financial companies, for example, have very different leverage dynamics than industrials.
Third, the binary nature of each signal means no magnitude is captured. A company with ROA of 0.1% scores the same on that signal as one with ROA of 25%. Combining the F-Score with continuous financial metrics adds analytical depth. Additionally, accounting standards vary across jurisdictions (IFRS vs. GAAP), which can affect how certain line items are calculated. Always ensure year-over-year comparisons use consistent accounting methods to avoid artificial signal changes driven by restatements or policy shifts rather than genuine operational improvement.
Frequently asked questions
What is a good Piotroski F-Score?
A score of 8 or 9 is generally considered strong and signals a fundamentally healthy company. Scores of 0–2 indicate financial weakness and are often associated with deteriorating businesses. The middle range of 3–7 is neutral and requires additional analysis before drawing investment conclusions.
Can the Piotroski F-Score be used for any stock?
The score was designed specifically for value stocks — companies with high book-to-market ratios. It is less reliable when applied to growth stocks, financial institutions, or companies with negative book value. For best results, apply it within a pre-screened universe of value-oriented equities and always cross-check with sector-specific context.
How often should I recalculate the F-Score for a stock?
The F-Score is typically recalculated annually after each fiscal year's financial statements are released, since it compares year-over-year changes. Some practitioners update it quarterly using trailing twelve-month figures, though Piotroski's original methodology used annual data. Quarterly updates can introduce noise from seasonal business patterns.
What data do I need to calculate the Piotroski F-Score?
You need two consecutive years of financial statement data: the income statement (net income, revenue, cost of goods sold), the balance sheet (total assets, long-term debt, current assets, current liabilities, shares outstanding), and the cash flow statement (cash flow from operations). All data is publicly available in SEC filings (10-K), annual reports, or financial data providers.
Is the Piotroski F-Score still effective in modern markets?
Research published after Piotroski's original 2000 paper shows that the F-Score remains a statistically significant predictor of cross-sectional stock returns in many markets, particularly in less efficiently priced segments such as small-cap value stocks. Its effectiveness has diminished somewhat in highly liquid large-cap markets as the signal has become more widely known, but it continues to be a valuable component of multi-factor fundamental screening frameworks.
Last updated: 2025-01-15 · Formula verified against primary sources.