Altman Z-Score Explained: Measuring Financial Distress Risk
💡 Key Tips
- Pick the right model. The original Z was built on listed US manufacturers — running an IT services or NBFC company through it gives a misleading number.
- Retained Earnings on an Indian balance sheet is broadly the Reserves & Surplus line, excluding share premium if you want to be strict.
- Track the Z-Score across four or five years. A score falling from 4.2 to 2.6 is a far louder signal than any single reading.
- Component B carries a lot of weight for young companies — a firm that has not yet accumulated reserves scores low even when it is perfectly healthy.
- Pair this with the Piotroski F-Score. Z measures distress risk, F measures whether fundamentals are improving.
⚠️ Things To Watch
- Never use this on banks, NBFCs or financial companies. Their balance sheets are structurally leveraged and the model produces nonsense.
- A market-cap driven input means the score moves with the share price. In a market crash, D falls and the Z-Score drops without anything changing operationally.
- The cut-offs (2.99 / 1.81) come from 1960s US data. Indian companies routinely sit in the grey zone without ever defaulting.
- This is a screening filter, not a verdict. A low score is a prompt to read the annual report, not a reason to sell.
- Accounting choices, one-off asset sales and capitalised expenses can all distort EBIT and Total Assets.
📋 Disclaimer
This calculator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Trading and investing carry substantial risk of loss and are not suitable for every investor. Past performance is not indicative of future results. Always consult a qualified financial advisor and conduct your own due diligence before making any trading or investment decisions.
📐 The Altman Z-Score Models
1. Original Z-Score — listed manufacturing (Altman, 1968)
2. Z′ — private and unlisted manufacturing
3. Z″ — non-manufacturing and emerging markets
4. Reading a contribution breakdown
The Altman Z-Score combines five balance-sheet ratios into a single number that indicates how far a company sits from financial distress. This guide explains the five inputs, the three model versions, and how to read the resulting zones. It is educational only — no buy, sell or hold advice.
What the Altman Z-Score measures
The Z-Score is a formula published by Edward Altman in 1968 that estimates how close a company is to financial distress. It takes five ratios from the balance sheet and income statement, applies a fixed weight to each, and adds them into one number. A higher score means a stronger financial position.
It was built by studying manufacturing companies that had gone bankrupt and comparing them with ones that had not. The weights are not arbitrary — they come from that statistical work. The score is a screening filter, not a verdict. A low reading is a prompt to open the annual report, not a conclusion about the company.
The five ratios that feed the score
Each ratio captures a different dimension of financial health. Together they cover liquidity, accumulated profit, operating earnings, solvency and efficiency.
| Ratio | Formula | What it captures |
|---|---|---|
| A | Working Capital ÷ Total Assets | Short-term liquidity cushion |
| B | Retained Earnings ÷ Total Assets | Cumulative profitability and age |
| C | EBIT ÷ Total Assets | Operating earning power |
| D | Equity Value ÷ Total Liabilities | How far assets can fall before insolvency |
| E | Net Sales ÷ Total Assets | Asset turnover efficiency |
On an Indian balance sheet, Retained Earnings maps broadly to the Reserves and Surplus line. Working Capital is simply current assets minus current liabilities.
Which version of the model to use
Altman later published variants for companies the original was never designed for. Using the wrong one produces a misleading number.
| Model | Built for | Formula | Distress below |
|---|---|---|---|
| Z | Listed manufacturers | 1.2A + 1.4B + 3.3C + 0.6D + 1.0E | 1.81 |
| Z′ | Private manufacturers | 0.717A + 0.847B + 3.107C + 0.420D + 0.998E | 1.23 |
| Z″ | Services, emerging markets | 6.56A + 3.26B + 6.72C + 1.05D | 1.10 |
Two differences matter. In Z′ and Z″, input D uses the book value of equity rather than market capitalisation. And Z″ drops the sales ratio entirely, because asset turnover varies too widely across service industries to be comparable.
Reading the zones, and what the score misses
For the original model, above 2.99 is the safe zone, 1.81 to 2.99 is the grey zone, and below 1.81 is the distress zone. The thresholds shift for each variant, as the table in the previous tab shows.
Three limitations are worth holding onto. The model should never be applied to banks, NBFCs or insurance companies — their balance sheets are structurally leveraged and the output is meaningless. Because input D uses market capitalisation in the original model, the score falls during a market crash even when nothing has changed operationally. And the cut-offs come from 1960s US data, so Indian companies routinely sit in the grey zone for years without ever defaulting.
The score is most useful tracked over time. A reading falling from 4.2 to 2.6 across three years says considerably more than any single number.
Related tools: Piotroski F-Score calculator · DuPont analysis calculator
Frequently asked questions
What is a good Altman Z-Score?
For the original model, a score above 2.99 places a company in the safe zone, 1.81 to 2.99 is the grey zone, and below 1.81 is the distress zone. The thresholds differ for the Z-prime and Z-double-prime variants, so check which model you are using before interpreting the number.
Which model applies to an IT services company?
Use the Z-double-prime model. It was designed for non-manufacturing businesses and emerging markets, and it drops the sales-to-assets ratio because asset turnover varies too much across service industries to compare meaningfully.
Can the Altman Z-Score be used on banks?
No. Banks, NBFCs and insurance companies carry structurally leveraged balance sheets, and the ratios the model relies on do not carry the same meaning for lenders. Applying it to a financial company produces a number that cannot be interpreted.
Does a low Z-Score mean the company will go bankrupt?
No. The Z-Score is a statistical screening filter, not a prediction about any individual company. A low reading indicates that the company shares financial characteristics with firms that historically ran into difficulty. It is a reason to read the annual report more carefully, nothing more.
Educational and informational content only. EquityTimer is not a SEBI-registered investment adviser and does not provide buy, sell or hold recommendations. Data may contain errors or delays; verify independently and consult a registered financial adviser before making any investment decision.