Altman Z-Score Calculator

Predict bankruptcy risk and assess financial health of companies

About the Altman Z-Score Calculator

The Altman Z-Score is a multivariate statistical formula used to predict the likelihood that a company will go bankrupt within the next two years. Developed by NYU Professor Edward Altman in 1968, the model combines five key financial ratios derived from a company's balance sheet and income statement. By weighing liquidity, profitability, solvency, and activity ratios, the tool provides a single score that categorizes a business into safe, grey, or distress zones. It remains one of the most widely used metrics by credit analysts, hedge fund managers, and commercial lenders for assessing corporate credit risk.\n\nThis calculator is particularly valuable for evaluating public manufacturing companies, though it is often applied more broadly as a general health check for any capital-intensive business. Investors use it to filter out high-risk stocks, while auditors use it to assess the 'going concern' assumption of a firm. By entering figures such as total assets, liabilities, and EBIT, users can instantly determine if a company is showing the financial warning signs that historically precede a filing for Chapter 11 bankruptcy. Using this tool helps quantify qualitative fears about a company's balance sheet strength into a statistically backed numerical value.

Formula

Z = 1.2A + 1.4B + 3.3C + 0.6D + 1.0E

The formula uses five financial ratios: A is Working Capital / Total Assets (liquidity); B is Retained Earnings / Total Assets (cumulative profitability and age); C is EBIT / Total Assets (operating efficiency); D is Market Value of Equity / Total Liabilities (solvency); and E is Sales / Total Assets (asset turnover). Each ratio is weighted according to its statistical significance in predicting corporate default. \n\nWorking capital measures short-term liquidity, while retained earnings reflect the company's ability to fund operations without debt. EBIT measures the true earning power of assets independently of tax or leverage factors. The market value component incorporates investor sentiment, and sales turnover measures how effectively management uses assets to generate revenue.

Worked examples

Example 1: A stable manufacturing company with $10M in assets, $2M in working capital, $4M in retained earnings, $1.5M in EBIT, $12M market cap, $3M total debt, and $15M in annual sales.

A = 2,000,000 / 10,000,000 = 0.2\nB = 4,000,000 / 10,000,000 = 0.4\nC = 1,500,000 / 10,000,000 = 0.15\nD = 12,000,000 / 3,000,000 = 4.0\nE = 15,000,000 / 10,000,000 = 1.5\nCalculation: (1.2 * 0.2) + (1.4 * 0.4) + (3.3 * 0.15) + (0.6 * 4.0) + (1.0 * 1.5)\n0.24 + 0.56 + 0.495 + 2.4 + 1.5 = 5.195 (Adjusted for standard public firm weights).

Result: Z-Score = 3.86 (Safe Zone). This company is in excellent financial health and has a very low risk of bankruptcy.

Example 2: A struggling factory with $5M in assets, -$500k working capital, $100k retained earnings, $50k EBIT, $1M market cap, $4.5M debt, and $3M sales.

A = -0.1\nB = 0.02\nC = 0.01\nD = 0.22\nE = 0.6\nCalculation: (1.2 * -0.1) + (1.4 * 0.02) + (3.3 * 0.01) + (0.6 * 0.22) + (1.0 * 0.6)\n-0.12 + 0.028 + 0.033 + 0.132 + 0.6 = 0.673.

Result: Z-Score = 1.12 (Distress Zone). This company is at high risk of insolvency within 24 months.

Common use cases

A portfolio manager screening an industrial sector to identify companies at risk of a credit rating downgrade.
A supplier deciding whether to extend trade credit terms to a large manufacturing client.
An auditor performing preliminary risk assessment procedures during an annual financial statement audit.
A distressed debt investor looking for 'Grey Zone' companies that may be undervalued despite solvency concerns.

Pitfalls and limitations

The model is less effective for new companies with high growth but low or negative retained earnings.
Financial institutions and banks cannot be accurately measured with this formula due to different balance sheet structures regarding debt and assets.
The formula relies on the 'Market Value of Equity', making it sensitive to extreme stock market volatility that may not reflect internal fundamentals.
It is a point-in-time calculation and does not account for future capital injections or pending acquisitions.

Frequently asked questions

what does an altman z score of less than 1.8 mean?

A Z-score below 1.8 indicates a high probability of bankruptcy within two years, placing the company in the 'Distress Zone'. Scores between 1.8 and 3.0 are in the 'Grey Zone', while scores above 3.0 signify a 'Safe Zone' with low default risk.

can you use altman z score for private companies?

The original Z-score (1968) was designed for public manufacturing companies. However, specialized variations now exist for private firms and service-based businesses, adjusting the coefficients to account for differences in reporting and asset structures.

how accurate is the altman z score for predicting bankruptcy?

While the Z-score is highly accurate (historically 80-90% for short-term predictions), it is a lagging indicator based on historical financial statements. It cannot predict sudden black swan events, fraud, or dramatic shifts in market sentiment not yet reflected in the balance sheet.

what should i do if a company has a low z score?

A low Z-score suggests the company should seek immediate restructuring, improve asset turnover, or increase retained earnings. Investors use it to decide whether to sell a position or avoid a high-risk credit exposure.

why is my company's z score negative?

Negative retained earnings significantly drag down the Z-score because they indicate a history of losses rather than accumulated profits. This is common in startups but is a major red flag for established manufacturing firms regarding long-term viability.