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Altman Z-Score Calculator

Calculate Altman Z-Score bankruptcy risk with public, private, non-manufacturing, and emerging-market models.

Last updated

Screen corporate distress with the right Altman model Choose the company type first, then enter the statement values used in that version of the Z-Score. The calculator shows the weighted ratio breakdown, the published zone cutoffs, and how far the result sits from the next threshold.

Model fit

Best matched to public manufacturing companies, where market equity and sales intensity are both meaningful inputs.

Input quality checklist

  • Use the same reporting period and currency for every statement value.
  • Use EBIT, not net income, for the operating earnings input.
  • Use market equity only for the original public-manufacturing model; use book equity for the other variants.

Result

3.55

Original Z: Safe zone for public manufacturing (original z-score)

Safe zone Original Z is above the published safe-zone threshold for this model, so the score does not currently flag acute distress on the Altman framework alone.

Thresholds

1.81 to 2.99 is the grey zone for Original Z.

Next threshold

Above the safe-zone line by 0.56

Gap: 0.56

Lowest contribution
X2: Retained earnings / total assets contributes 0.21 score points.
Strongest support
X5: Sales / total assets contributes 1.5 score points.

Weighted ratio breakdown

X1: Working capital / total assets

Liquidity · weight 1.2

0.25

Contribution 0.3

X2: Retained earnings / total assets

Cumulative profitability · weight 1.4

0.15

Contribution 0.21

X3: EBIT / total assets

Operating return on assets · weight 3.3

0.13

Contribution 0.41

X4: Market value of equity / total liabilities

Capital structure · weight 0.6

1.88

Contribution 1.13

X5: Sales / total assets

Asset turnover · weight 1

1.5

Contribution 1.5

Example input scale

Current figures are displayed in . For example, total assets are $2,000,000.00 and total liabilities are $800,000.00.

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Financial Analysis

Altman Z-Score calculator guide: formulas, model selection, and interpretation

Use the Altman Z-Score calculator to screen a company's financial distress risk from core balance-sheet and income-statement figures, then check whether the result sits in the safe, grey, or distress zone for the model you selected. The biggest source of error is choosing the wrong version, so the guide below explains when to use the original formula, the private-company variant, or the non-manufacturing forms.

What the Altman Z-Score measures

The Altman Z-Score combines several indicators of financial resilience into one screening number. Rather than checking liquidity, retained profits, operating earnings, leverage, and asset turnover one at a time, it weights them into a composite that can be compared with published distress thresholds.

That makes the score useful for quick screening, but it is still only a screen. A company with a healthy Z-Score can still face refinancing stress, governance problems, or cyclically weak cash flow, while a company in the distress range may be dealing with a temporary shock rather than a terminal solvency problem. The model is best used to decide where deeper analysis is needed.

In the original public-manufacturing model, Z above 2.99 is commonly treated as safe, Z between 1.81 and 2.99 as the grey zone, and Z below 1.81 as distress. Other Altman variants use different weights and cutoffs, so the interpretation depends on the formula you selected.

Altman Z-Score formulas and model selection

The original 1968 model was calibrated on public manufacturing companies, which is why it uses market value of equity and includes sales-to-assets. Later Altman variants adjusted the coefficients for private manufacturers and for non-manufacturing firms where turnover behaves differently and book equity is often more practical than market capitalization.

Choose the original model for public manufacturers, Z' for private manufacturing companies, Z'' for non-manufacturing or service businesses, and the emerging-market form when that published adjustment is the better fit. Running the wrong version can push the result into the wrong zone even when the underlying business has not changed.

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

Original public-manufacturing model. X₁ = working capital / total assets, X₂ = retained earnings / total assets, X₃ = EBIT / total assets, X₄ = market value of equity / total liabilities, X₅ = sales / total assets.

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

Private-manufacturing version. The equity input is book equity rather than market capitalization.

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

Non-manufacturing version. The sales-to-assets term is removed because it is less informative outside manufacturing-heavy balance sheets.

Input quality checklist for a cleaner bankruptcy risk screen

The Altman Z-Score formula is only as useful as the statement data feeding it. Keep all inputs in the same currency, from the same reporting period, and from comparable statements. Mixing annual revenue with quarterly balance-sheet figures, or combining consolidated liabilities with segment-level EBIT, can create a score that looks precise but is not analytically meaningful.

Several competitor calculators ask for the five ratios directly. This calculator asks for the underlying statement values so it can show the ratio bridge and weighted contribution audit trail. That is more transparent, but it also makes source definitions important: working capital should normally be current assets minus current liabilities, EBIT should be operating earnings before interest and tax, and sales should match the period used for the other income-statement input.

The X4 equity input deserves special attention. Public-company Z uses market value of equity because it captures the market's cushion against liabilities, while Z' and Z'' use book equity because market capitalization is not available or not appropriate. If the equity definition is wrong, the capital-structure factor can dominate the result and move a company from grey zone to safe zone or distress zone without any real change in the business.

Where each input comes from in the financial statements

Working capital is usually current assets minus current liabilities. Retained earnings comes from the equity section of the balance sheet. EBIT comes from the income statement before interest and taxes. Total assets and total liabilities come directly from the balance sheet. Sales or revenue is the top-line income-statement figure when the selected formula still uses X₅.

The X₄ term is where many mistakes happen. In the original public-company formula, it uses market value of equity, so the right input is market capitalization, not book equity. In the private and non-manufacturing variants, the equity term is usually book value of equity. Mixing those definitions can move the score enough to change the zone label.

The factors have distinct jobs inside the model. X₁ captures short-term liquidity, X₂ reflects how much of the asset base has been financed through cumulative profits, X₃ measures operating performance, X₄ captures balance-sheet pressure, and X₅ measures asset turnover where it still belongs in the formula.

How to interpret the score in practice

A safe-zone result means the selected Altman model does not currently place the business close to the historical distress sample. That is helpful, but it is not a clean bill of health. The score says nothing about valuation, debt maturities, customer concentration, fraud risk, or whether a company is cheap or expensive at the current market price.

A grey-zone score is often the most decision-useful outcome because it tells you the business is neither obviously comfortable nor obviously distressed on this framework. That is usually the point where analysts check interest coverage, current ratio, covenant headroom, working-capital swings, and management discussion in the annual report before reaching a view.

A distress-zone result should be treated as a warning sign rather than a stand-alone verdict. It deserves deeper solvency review, especially if negative working capital, weak retained earnings, or a very low equity-to-liabilities ratio are doing most of the damage. But exceptional write-downs, cyclical troughs, or sector quirks can still produce false alarms.

Look at the weighted contribution rows before acting on the headline score. A low result caused mainly by X1 liquidity pressure may point toward working-capital strain, while a low result caused by X4 may be more about leverage or depressed market capitalization. A high result can also be fragile if one unusually strong factor is masking losses or negative retained earnings elsewhere.

Worked example

Suppose a public manufacturer reports working capital of 500,000, total assets of 2,000,000, retained earnings of 300,000, EBIT of 250,000, market value of equity of 1,500,000, total liabilities of 800,000, and sales of 3,000,000. The component ratios are X₁ = 0.25, X₂ = 0.15, X₃ = 0.125, X₄ = 1.875, and X₅ = 1.50.

Plugging those into the original formula gives Z = 1.2(0.25) + 1.4(0.15) + 3.3(0.125) + 0.6(1.875) + 1.0(1.50) = 3.551. That sits above the 2.99 safe-zone cutoff for the original model. If you run the same raw numbers through Z' or Z'', the answer changes because the coefficients and included ratios change with the business type.

When the model can mislead you

The Altman Z-Score is least reliable when the company does not resemble the sample used to build the selected model. Banks, insurers, and other financial companies often need different credit frameworks because their balance-sheet structure is not comparable with industrial firms. Very early-stage startups and some software businesses can also produce awkward readings because retained earnings and asset turnover behave differently from mature manufacturers.

The model also inherits the weaknesses of the accounts feeding it. One-time impairments, aggressive revenue recognition, share-count errors, stale market capitalization, and unusual financing structures can distort the result. Use the score as a disciplined first-pass solvency screen, then confirm the story with cash flow, debt maturity, and business-model context before acting on it.

Frequently asked questions

Which Altman model should I use?

Use the original Z model for public manufacturing companies because it relies on market value of equity and includes sales-to-assets. Use Z' for private manufacturing firms when book equity is more appropriate than market capitalization. Use Z'' for non-manufacturing and service businesses because that version removes the sales-to-assets factor. For emerging-market non-manufacturers, many analysts use the Z'' framework with the added 3.25 constant. The right model matters as much as the raw input values.

What is a good Altman Z-Score?

A good score is model-specific. In the original public-manufacturing formula, scores above 2.99 are commonly treated as safe, 1.81 to 2.99 as grey, and below 1.81 as distress. In Z', analysts often use above 2.90 as safe and below 1.23 as distress. In Z'', above 2.60 is a common safe-zone rule of thumb and below 1.10 signals distress. A strong result is therefore one that clears the relevant threshold with a real cushion, not just a number that looks high on its own.

Can I use the Altman Z-Score for banks, insurers, startups, or SaaS companies?

Usually not without extra caution. Banks and insurers have balance sheets that make the industrial versions of the model much less reliable. Startups and asset-light software companies can also look worse or better than they really are because retained earnings may be deeply negative even when liquidity is strong, and sales-to-assets may not carry the same meaning it does in manufacturing. In those cases, the Z-Score can still be a reference point, but it should not be your only solvency test.

How do I get market value of equity or book equity for X₄?

For the original public-company formula, market value of equity means market capitalization: current share price multiplied by diluted shares outstanding. For private-company and non-manufacturing variants, the equity term is usually book value of equity taken from the balance sheet. If you use book equity in the original public-manufacturing version or plug market cap into a private-company version, the resulting Z-Score can move enough to change the zone label.

What period and units should I use in an Altman Z-Score calculator?

Use a consistent reporting period and currency for every input. Annual financial statements are often easiest because total assets, total liabilities, retained earnings, EBIT, and sales can be tied back to the same annual report. If you use quarterly data, keep the balance-sheet date and income-statement period aligned and be careful with seasonal businesses. The calculator does not care whether the currency is dollars, euros, or pounds as long as every money input uses the same unit.

Can an Altman Z-Score be negative?

Yes. A negative score can happen when one or more components are deeply negative, such as negative working capital, negative retained earnings, operating losses, or a very weak equity cushion. A negative Altman Z-Score is usually a severe warning signal, but the next step is still to inspect the ratio breakdown and understand whether the weakness is recurring, one-off, accounting-driven, or sector-specific.

How can a company improve its Altman Z-Score?

The durable way to improve the score is to improve the underlying business and balance sheet: strengthen working capital, retain more earnings, increase operating profit, reduce liabilities relative to equity, and generate more sales from the asset base where the selected model uses sales-to-assets. Cosmetic changes that only move one reporting-date input are less useful than sustainable improvements in liquidity, profitability, leverage, and asset turnover.

Is Altman Z-Score the same as a bankruptcy probability?

No. The score is a discriminant-model signal that places a company into broad safe, grey, or distress bands. It is often discussed as a bankruptcy risk screen, but it is not a direct probability such as 12% or 40%. Treat it as an early-warning indicator that should be combined with debt maturity analysis, cash-flow forecasts, covenant data, industry context, and management disclosures.

Why does the non-manufacturing Z'' model exclude sales-to-assets?

The non-manufacturing version removes the sales-to-assets term because asset turnover behaves differently across service, asset-light, and non-industrial businesses. Keeping the original manufacturing turnover weight can make comparisons less meaningful when companies do not rely on a similar asset base to generate revenue. That is why the calculator disables the sales field when Z'' or the emerging-market Z'' variant is selected.

Should I use Altman Z-Score by itself for investment or credit decisions?

No. The score is useful because it condenses liquidity, cumulative profitability, operating performance, leverage, and activity into one disciplined screen, but it does not replace full credit or investment analysis. Check current ratio, quick ratio, interest coverage, operating cash flow, debt maturity schedules, covenants, audit notes, and qualitative business risks before making a lending, investing, or restructuring decision.

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