The Complete Guide to Zscore Table: Everything Value Investors Need to Know

The Complete Guide to Zscore Table: Everything Value Investors Need to Know

The zscore table converts a company's Altman Z-Score into a probability range for financial distress. The score itself is a weighted combination of five financial ratios. The table tells you what the score means. A Z-Score below 1.81 places a company in the distress zone, where the original Altman research showed a high rate of bankruptcy within two years. A score above 2.99 places the company in the safe zone. The range between 1.81 and 2.99 is the gray zone, where the model is less certain.

Understanding the zscore table is not optional for serious value investors. It is one of the most efficient ways to eliminate bankruptcy risk from a cheap-stock list before you spend three hours reading annual reports on a company that was already headed for restructuring.

Key Takeaways

• The Altman Z-Score zscore table has three zones: safe (above 2.99), gray (1.81 to 2.99), and distress (below 1.81).
• Edward Altman developed the model in 1968 using financial data from 66 U.S. manufacturing companies, split evenly between bankrupt and non-bankrupt firms.
• The five inputs to the Z-Score are working capital to total assets, retained earnings to total assets, EBIT to total assets, market value of equity to book value of total liabilities, and sales to total assets.
• The original model was designed for manufacturing companies. Altman later created Z'-Score (for private companies) and Z''-Score (for non-manufacturing and emerging market firms) to address this limitation.
• Combining the zscore table with the Piotroski F-Score gives you two independent financial health signals: one predictive (Z-Score) and one descriptive of current trajectory (F-Score).
• ValueMarkers tracks the Altman Z-Score and Piotroski F-Score simultaneously in the screener across 73 global exchanges.

Who Created the Z-Score and Why

Edward Altman was a finance professor at New York University's Stern School of Business. In 1968 he published "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy" in the Journal of Finance. His goal was to build a quantitative model that could predict corporate bankruptcy more accurately than qualitative credit analysis alone.

Altman's methodology: he took 33 manufacturing companies that had filed for bankruptcy between 1946 and 1965 and matched them with 33 non-bankrupt firms of similar size and sector. He then tested 22 financial ratios across both groups and used discriminant analysis to identify the five ratios that best separated the two groups. The result was a single weighted score: the Altman Z-Score.

The original model correctly classified 94% of the bankrupt firms in the sample and 97% of the non-bankrupt firms. Follow-up studies testing the model on out-of-sample data showed it correctly predicted bankruptcy two years in advance in 72% of cases.

Altman was not trying to replace fundamental analysis. He was providing a systematic pre-screen to identify companies worth serious concern before you commit time to analyzing them.

The Five Components of the Z-Score Formula

The weighted formula for the original manufacturing model:

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

X3 (EBIT to total assets) carries the largest coefficient at 3.3, making operating earnings power the dominant factor. X1 (working capital to total assets) is the second most important at 1.2. X4, the market-to-book solvency cushion, carries 0.6.

The Zscore Table: Zones and Interpretation

The core zscore table for the original Altman model applied to public manufacturing companies:

The gray zone is not a neutral zone. It is a zone of model uncertainty. Companies in the gray zone historically have a meaningful but non-dominant rate of financial distress. Some recover; some deteriorate. The gray zone requires additional due diligence rather than a simple pass or fail.

Key boundary points:

• Z-Score of 2.99: the threshold above which Altman's model says the company is safe. Companies consistently above 3.5 are financially strong by this measure.
• Z-Score of 1.81: the distress threshold. Companies below 1.81 showed a 72% rate of actual bankruptcy within two years in Altman's original study.
• Z-Score of 1.23: a secondary threshold some researchers use to separate "deep distress" from "moderate distress." Companies below 1.23 have historically had bankruptcy rates above 90% within two years.

The Z'-Score Table: Private Company Version

Because the original model uses market value of equity (X4), it cannot be applied to private companies without modification. Altman's Z'-Score replaces X4 with book value of equity divided by book value of total liabilities. The coefficients change to reflect the loss of market signal:

Z' = 0.717(X1) + 0.847(X2) + 3.107(X3) + 0.420(X4') + 0.998(X5)

The Z'-Score table:

The distress threshold shifts because the market equity signal (which was highly predictive in the original model) has been replaced by a book-based proxy. The gray zone is wider. The model is less precise for private companies than for public ones.

The Z''-Score Table: Non-Manufacturing and Emerging Market Version

Altman developed a third version to handle service companies, retail firms, and non-U.S. companies where asset turnover (X5) behaves very differently from manufacturing. The Z''-Score removes X5 entirely:

Z'' = 6.56(X1) + 3.26(X2) + 6.72(X3) + 1.05(X4)

The Z''-Score table:

Note that the coefficients are substantially different. X3 (EBIT to total assets) is now weighted at 6.72. This reflects that, for non-manufacturing firms where asset turnover is not a reliable indicator, operating earnings power becomes even more dominant as a predictor.

When screening technology companies, healthcare service providers, or retailers with the Altman model, always check which version you are applying. Using the original manufacturing Z-Score on a software company produces a score that is not comparable to the zscore table thresholds.

How to Read a Zscore Table for Key Financial Ratios

A recurring search term is "a summary of key financial ratios table 2.4," which refers to a table structure found in financial analysis textbooks that summarizes liquidity, profitability, use, and efficiency ratios alongside distress model scores. The Altman Z-Score fits within this framework as a composite distress measure.

In the context of a full financial ratio summary, the Z-Score occupies the "bankruptcy risk" row. A complete key ratios table for value investing analysis would look like this:

This is the table structure serious investors use to evaluate companies systematically rather than checking ratios in isolation.

Applying the Zscore Table to Real Stocks

Consider how the Z-Score table would classify several real companies.

Apple (AAPL) has a P/E of 28.3 and ROIC of 45.1%. On the Z-Score components: AAPL has massive retained earnings relative to assets (X2 is high), extraordinary operating earnings power (X3 very high given margins), a dominant market-to-book ratio (X4 very high), and consistent asset turnover. AAPL's Z-Score is typically well above 4.0, placing it firmly in the safe zone. Not a distress concern by any measure.

Microsoft (MSFT) has a P/E of 32.1 and ROIC of 35.2%. Similar story: consistently high EBIT relative to assets, accumulated retained earnings, and strong market-to-book. MSFT Z-Score is typically above 4.5. Deeply safe.

Berkshire Hathaway B shares (BRK.B) trade at a P/B of 1.5 and P/E of 9.8. Berkshire is a conglomerate, so its Z-Score is a composite of dozens of underlying businesses. Because of the insurance float structure and the investment portfolio, Berkshire's traditional Z-Score calculation requires interpretation. The Z''-Score (non-manufacturing version) would be more appropriate. By either measure, Berkshire's financial strength is exceptional.

Where the Z-Score table adds real value is in the cheap-stock universe. A company with a P/E of 6 that looks like a bargain but has a Z-Score of 1.3 (distress zone) is not cheap: it is priced low because the market is pricing in financial stress. A company with P/E of 6 and Z-Score of 3.5 is a genuine cheap stock. The Z-Score table separates these two before you read a single page of the annual report.

How to Get Table Value Investment Insights from the Z-Score

A common question from investors new to the Altman model is how to translate the score into actionable investment decisions. The table answers the "is this company likely to survive?" question. Here is how to use that answer:

For long positions: Require Z-Score above 2.99 (safe zone) for any new position. In the gray zone, require at least a Piotroski F-Score of 7 as a confirming signal that the company is financially improving despite the model's uncertainty. Below 1.81 (distress zone), the burden of proof is very high: you need a clear catalyst (asset sale, debt refinancing, equity raise) that resolves the distress within a specific timeline.

For position sizing: A safe-zone company (Z-Score above 2.99) with strong fundamental support can be a full-weight position. A gray-zone company with good F-Score momentum might be a half-weight position with a stop-loss. A distress-zone company requires either very small position sizes or full avoidance.

For existing positions: Set a monitoring alert for Z-Score below 2.0 on any holding. A drop from 3.5 to 1.9 over two fiscal years is a serious warning. The company is moving toward the distress zone. Reduce or exit before further deterioration.

Z-Score Limitations and Where the Table Fails

The original Z-Score model has known limitations that affect how you interpret the table.

Industry sensitivity. The model was calibrated on manufacturing companies. Asset turnover (X5) behaves differently in asset-light businesses like software, and the coefficient of 1.0 may be too generous or too punitive depending on the sector. Use Z'' for non-manufacturing firms.

Geographic applicability. The model was built on U.S. data. Research applying it to European and Asian markets shows lower predictive accuracy. Altman and others have produced country-specific modifications, but the original zscore table thresholds may not hold precisely for non-U.S. equities.

Manipulation risk. A company manipulating its financial statements can inflate Z-Score inputs, particularly X2 (retained earnings) and X3 (EBIT). This is why combining the Z-Score with the Beneish M-Score is recommended: if a company has a high Z-Score but an elevated Beneish score, the Z-Score inputs may not be reliable.

Timing. The model uses annual financial data. A company can pass the Z-Score threshold on December 31 data and face a liquidity crisis by March on the basis of quarterly deterioration that has not yet appeared in an annual filing. This is why quarterly cash flow monitoring is a necessary complement to the annual Z-Score calculation.

ROIC gap. The Z-Score does not measure return on invested capital, which is the best indicator of competitive advantage. A company can score in the safe zone but generate ROIC consistently below its cost of capital. It is financially stable but destroying value slowly. You need ROIC data alongside the Z-Score to identify whether financial stability is paired with economic productivity.

Combining the Zscore Table with the Piotroski F-Score

The most effective screening workflow combines both models because they measure different dimensions of financial health.

• Altman Z-Score answers: Is this company at risk of financial distress or bankruptcy within two years?
• Piotroski F-Score answers: Is this company's financial position improving or deteriorating this year?

A company with Z-Score 3.5 (safe) and F-Score 8 (improving) is financially strong and getting stronger. This is the best combination.

A company with Z-Score 2.5 (gray) and F-Score 8 (improving) is financially uncertain but trending in the right direction. The F-Score improvement suggests the Z-Score may move toward safe in the next annual update. This is a monitored position.

A company with Z-Score 1.5 (distress) and F-Score 8 (improving) has a serious distress signal but is also showing financial improvement on nine specific tests. This conflict requires individual investigation: what is driving the Z-Score distress? Is it legacy debt being paid down (which the F-Score would capture)? Is it a structural asset base problem?

A company with Z-Score 3.5 (safe) and F-Score 3 (deteriorating) is currently financially stable but showing warning signs across multiple dimensions. Monitor closely.

Further reading: Investopedia · CFA Institute

Why altman z score table Matters

This section anchors the discussion on altman z score table. The detailed treatment, formula, and worked examples appear in the body of this article above. The points below summarize the most important takeaways for value investors who want to apply altman z score table in real portfolio decisions. ValueMarkers exposes the underlying data on every covered ticker via the screener and stock profile pages, so the concepts in this article translate directly into actionable filters.

Key inputs for altman z score table

See the main discussion of altman z score table in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using altman z score table alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.

Sector benchmarks for altman z score table

See the main discussion of altman z score table in the sections above for the full treatment, including the inputs, the calculation methodology, the typical sector benchmarks, and the most common pitfalls to avoid. The ValueMarkers screener lets value investors filter the full universe of 100,000+ stocks across 73 exchanges using altman z score table alongside the rest of the 120-indicator composite, with sector percentiles and historical trends shown on every stock profile.

Related ValueMarkers Resources

• Free Cash Flow Margin (FCF Margin) — Free Cash Flow Margin measures how efficiently a company converts capital into earnings
• Piotroski F-Score — Piotroski F-Score captures the reliability of reported earnings versus underlying cash flow
• Altman Z-Score — Altman Z-Score is the metric used to the reliability of reported earnings versus underlying cash flow
• Altman Z Score — related ValueMarkers analysis
• Piotroski F Score — related ValueMarkers analysis
• How To Calculate Pe Ratio — related ValueMarkers analysis

Frequently Asked Questions

a summary of key financial ratios table 2.4

Table 2.4 in financial analysis textbooks typically summarizes the four main ratio categories used to evaluate a company: liquidity ratios (current ratio, quick ratio), profitability ratios (ROE, ROA, net margin), leverage ratios (debt-to-equity, interest coverage), and efficiency ratios (asset turnover, inventory turnover). The Altman Z-Score sits in a fifth category, sometimes called distress or composite ratios, and serves as a single-number summary of financial health derived from components across all four main categories. In a complete zscore table context, a Z-Score above 2.99 signals that the company's liquidity, profitability, and leverage ratios are collectively in a safe range.

how to get table value investment

To get table value for investment analysis using the zscore table, pull the five inputs for each company you are evaluating: working capital divided by total assets, retained earnings divided by total assets, EBIT divided by total assets, market capitalization divided by total liabilities, and revenue divided by total assets. Apply the weights (1.2, 1.4, 3.3, 0.6, 1.0) and sum the results. Compare the output to the zscore table thresholds: above 2.99 is safe, 1.81 to 2.99 is gray, below 1.81 is distress. A stock with a Z-Score below 1.81 and no clear catalyst for distress resolution should be removed from your investment list. All five inputs are available directly in the ValueMarkers screener without manual calculation.

What is zscore table?

The zscore table is the reference grid that converts an Altman Z-Score into a financial distress classification. Edward Altman published the original table in 1968 as part of his bankruptcy prediction model. The table defines three zones: safe (above 2.99), gray (1.81 to 2.99), and distress (below 1.81) for the original public manufacturing company model. Separate tables exist for the Z'-Score (private companies) and Z''-Score (non-manufacturing firms), with different threshold values to account for structural differences in those business types.

How do you calculate zscore table?

You calculate the Z-Score that you then look up in the zscore table by applying this formula: Z = 1.2(working capital/total assets) + 1.4(retained earnings/total assets) + 3.3(EBIT/total assets) + 0.6(market cap/total liabilities) + 1.0(revenue/total assets). Each of the five components requires data directly from the income statement and balance sheet. Once you have the weighted sum, locate it in the zscore table. If the score is above 2.99, the company is in the safe zone. If it falls between 1.81 and 2.99, it is in the gray zone requiring additional analysis. Below 1.81 is the distress zone. For non-manufacturing companies, use the Z''-Score formula with different coefficients and thresholds.

Why is zscore table important for investors?

The zscore table is important because it provides a fast, systematic way to identify companies at high risk of financial distress before committing significant analytical time. In Altman's original research, the model correctly predicted bankruptcy two years in advance in 72% of cases. For value investors screening cheap stocks, many low-priced companies are cheap precisely because they are in or near financial distress. The zscore table separates companies that are genuinely undervalued from those priced low because the market is discounting a high probability of restructuring or bankruptcy. Without this check, a value screen can be full of value traps. A two-minute Z-Score check eliminates most of them.

How to use zscore table in stock analysis?

Use the zscore table in three stages of your analysis workflow. First, as a hard filter: remove all companies with Z-Scores below 1.81 from your screening shortlist before doing any additional work. These companies require a specific distress-investing thesis, not a standard value thesis. Second, as a position-sizing guide: hold safe-zone companies (above 2.99) at full weight, gray-zone companies at reduced weight with a monitoring alert set at the lower boundary. Third, as a trend indicator: track Z-Scores across multiple years for each holding. A Z-Score declining from 3.2 to 2.5 to 1.9 over three years tells you a once-safe company is moving toward distress. Act before it crosses 1.81, not after.

Screen 73 global exchanges for Altman Z-Score, Piotroski F-Score, FCF margin, and 120+ other indicators simultaneously using the ValueMarkers screener, and apply the zscore table to filter out distress-risk companies before they reach your watchlist.

Written by Javier Sanz, Founder of ValueMarkers. Last updated April 2026.

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