Altman Z-Score Calculator

Compute the Altman Z-Score to predict bankruptcy risk. Supports the original, private (Z'), and non-manufacturer (Z'') models with safe, grey, and distress zones.

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Mathematics

Statistics

Altman Z-Score Calculator

Compute the Altman Z-Score to predict bankruptcy risk. Supports the original, private (Z'), and non-manufacturer (Z'') models with safe, grey, and distress zones.

Altman Z-Score Calculator

Financial statement inputs

Enter current assets and liabilities instead

Work out working capital as current assets minus current liabilities.

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Original Z-Score for public manufacturers. It weights five ratios and uses the market value of equity. A score above 2.99 is safe; below 1.81 signals distress.

Enter the financial-statement figures above to calculate the Altman Z-Score.

Score breakdown

Show the factor contribution chart

See how much each weighted ratio adds to the score.

Show the score breakdown table

A row-by-row table of every ratio, weight, and weighted score.

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The Altman Z-Score converts balance sheet and income statement numbers into a single number that estimates how close a company is to bankruptcy. Edward Altman developed this model in 1968 using multiple discriminant analysis, combining five financial ratios into one score which can then be used to classify companies as safe, critical or failure prone.

This calculator supports the three published versions of the model. Select the version that fits your company, enter the relevant data to get the score, risk band and a detailed breakdown of how each metric affects the result.

What does the Altman Z-score measure?

Each metric reflects the financial health from a different perspective. The score takes into account liquidity, cumulative profitability, operating efficiency, debt-paying ability (measured at market or book value), and asset turnover. A weakness in one area can be offset by strength in another.

This score is not a prediction for an individual event but rather an indicator of relative risk. When interpreting it, it's best to consider multiple years and compare the company with similar companies in the same industry.

The five key figures.

Each model is made up of the same basic elements marked with X1 to X5.

Ratio

Formula

What it captures

X1

Working capital / Total assets

Short-term liquidity

X2

Retained earnings / Total assets

Cumulative profitability and age

X3

EBIT / Total assets

Operating productivity of assets

X4

Equity / Total liabilities

Solvency cushion over debt

X5

Sales / Total assets

Asset turnover (dropped in the Z'' model)

Working capital is short-term assets minus current liabilities; if the short-term debts exceed the short-term assets, then net working capital can be negative. For X4, the public market model uses equity market value while private and non-manufacturing models use book value from the balance sheet.

Three formulas:

Original Z-score, suitable for listed manufacturing companies:

Z=1.2X1+1.4X2+3.3X3+0.6X4+1.0X5Z = 1.2\,X_1 + 1.4\,X_2 + 3.3\,X_3 + 0.6\,X_4 + 1.0\,X_5

Z'-Score, suitable for private companies:

Z=0.717X1+0.847X2+3.107X3+0.420X4+0.998X5Z' = 0.717\,X_1 + 0.847\,X_2 + 3.107\,X_3 + 0.420\,X_4 + 0.998\,X_5

Z''-Score, suitable for companies outside of manufacturing and developing countries:

Z=6.56X1+3.26X2+6.72X3+1.05X4Z'' = 6.56\,X_1 + 3.26\,X_2 + 6.72\,X_3 + 1.05\,X_4

The "Z''" model omits the consideration of the turnover-to-asset ratio, as the frequency of asset turnover varies greatly in the service industry and retail trade. Including this ratio would distort the comparison results.

Interpretation of individual areas

Each model has its own thresholds. The following table shows the ranges for safe, gray and critical zones corresponding to each version.

Model

Safe zone

Grey zone

Distress zone

Original Z

Above 2.99

1.81 to 2.99

Below 1.81

Z' (private)

Above 2.9

1.23 to 2.9

Below 1.23

Z'' (non-manufacturer)

Above 2.6

1.1 to 2.6

Below 1.1

The definition of the "gray" area is intentionally conservative. Values in this range do not indicate either a completely healthy financial situation or an unequivocal warning signal. Therefore, cash flow, upcoming maturities and changes to recent performance should continue to be monitored.

A full example:

Let's say there is a publicly traded manufacturing company with total assets of $1,000. The current assets are $300, retained earnings are $400, EBIT is $200, equity market value is $750, total debt is $500 and sales are $1,200. The respective ratios would be 0.30, 0.40, 0.20, 1.50 and 1.20.

Z=1.2(0.30)+1.4(0.40)+3.3(0.20)+0.6(1.50)+1.0(1.20)=3.68Z = 1.2(0.30) + 1.4(0.40) + 3.3(0.20) + 0.6(1.50) + 1.0(1.20) = 3.68

This company's rating is 3.68 which is above the threshold of 2.99 making it a safe bet.

What the Z-score can and cannot do.

Lenders, auditors, suppliers and investors use this value for early risk assessment and quick comparability of credit risks between different companies. The calculation is cost-effective; after choosing the right version it can also be used across industries.

But it has limitations too. The model is based on potentially smoothed or restated accounting data and was calibrated decades ago using manufacturing companies. It's not suitable for banks or insurers because their balance sheet structures work differently. It should be considered as one of many factors to take into account, not the final word.

This calculator is for general educational and analytical purposes only, not financial advice. No results are guaranteed. Always combine the value with a comprehensive review of financial statements as well as professional expertise.

Frequently asked questions

Which Altman model should I use?

Manufacturing companies should use the original Z-score; private companies for which only equity book value is available should use the Z'-score; non-manufacturing, service and emerging market firms should use the Z''-score. After selecting the model, the calculator automatically switches the formulas, inputs and cut-off values.

What is a good Altman Z-score?

For the original model values above 2.99 are considered safe, between 1.81 and 2.99 are a gray area, and below 1.81 indicate trouble. The models for private companies and non-manufacturing firms use slightly lower thresholds. Higher is better.

Why is sales left out of the Z''-Score?

The turnover ratio, or the ratio of sales to assets, varies widely among manufacturing, retailing and service companies. Altman removed this ratio from the Z'' model in order to allow for comparability between firms in very different industries without penalizing low capital intensive firms.

Can a z-score be negative?

It is possible for the ratio to fall below zero when there are negative working capital or accumulated losses. Companies in a very difficult situation can even obtain a negative value. Any result that is low or negative indicates that a company is clearly experiencing financial difficulties.

Is the Altman Z-score suitable for banks?

No, it is not effective. The balance sheet structures of banks, insurance companies and other financial enterprises are very different, so these indicators and thresholds cannot be applied directly. The Z-score was developed specifically for non-financial enterprises.

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Disclaimer: This calculator is provided for general informational and educational purposes only. Our calculators are under active development, and results may be inaccurate, incomplete, or unsuitable for your situation. Always verify the figures independently and seek advice from a qualified professional before relying on them. We make no warranties and accept no liability for any loss or decision arising from use of this tool.

References

  1. Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance.

    The original paper introducing the Z-Score discriminant model.

  2. NYU Stern: Edward Altman faculty page and Z-Score research

    Author's page with the later Z' and Z'' revisions.

  3. Investopedia: Altman Z-Score

    Definition, formula, and interpretation of the score.