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Z-Score Bankruptcy Prediction Calculator

Enter your company's key financial figures — total assets, liabilities, retained earnings, EBIT, market value of equity, and sales revenue — to calculate the Altman Z-Score and assess financial distress risk.
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Luis GonzalezCreated by Luis GonzalezLast updated:

How to Use This Calculator

  1. 1

    Enter Total Assets ($)

    Input the total value of all company assets from the balance sheet.

  2. 2

    Provide Total Liabilities ($)

    Enter the total amount owed by the company to creditors.

  3. 3

    Input Retained Earnings ($)

    Provide the cumulative net earnings retained in the business.

  4. 4

    Specify EBIT ($)

    Enter Earnings Before Interest and Taxes, a measure of operating profitability.

  5. 5

    Input Market Value of Equity ($)

    Provide the company's total market capitalization (share price × shares outstanding).

  6. 6

    Enter Sales Revenue ($)

    Input the total revenue generated from the company's primary operations.

  7. 7

    Review your results

    The calculator will display the Altman Z-Score, risk zone, and contributing financial ratios.

Example Calculation

A financial analyst is evaluating a manufacturing company's bankruptcy risk using its latest financial statements.

Total Assets ($)

500,000

Total Liabilities ($)

300,000

Retained Earnings ($)

100,000

EBIT ($)

50,000

Market Value of Equity ($)

200,000

Sales Revenue ($)

600,000

Results

2.69

Tips

Monitor Z-Score Trends

Don't rely on a single Z-score. Track its movement over several quarters or years. A declining trend, even if still in the 'Grey Zone,' signals increasing risk that warrants further investigation.

Compare Against Industry Peers

Benchmark a company's Z-score against competitors in the same industry. A score that is low relative to peers, even if above the distress threshold, could indicate relative weakness.

Consider Qualitative Factors

The Z-Score is a quantitative tool. Supplement it with qualitative analysis, such as management quality, industry outlook, competitive landscape, and recent strategic changes, for a complete risk assessment in 2025.

Predicting Bankruptcy Risk with the Altman Z-Score

For investors, creditors, and financial analysts, predicting a company's financial stability is paramount. The Z-Score Bankruptcy Prediction Calculator utilizes the renowned Altman Z-Score model to assess a firm's likelihood of default. This multivariate formula, developed by Edward Altman in 1968, combines five key financial ratios to generate a single score, classifying companies into "safe," "grey," or "distress" zones. A score below 1.81 typically indicates a high risk of bankruptcy within two years, providing a crucial early warning signal in 2025's dynamic market.

Why Predicting Bankruptcy Matters

Predicting bankruptcy is critical for various stakeholders to mitigate financial losses and make informed decisions. For investors, it helps avoid significant capital erosion. Creditors use it to assess lending risk and set appropriate interest rates. Management teams utilize it as an internal diagnostic tool to identify areas of weakness and implement corrective strategies before it's too late. An early warning system like the Altman Z-Score can prevent costly surprises, protect jobs, and maintain market confidence, influencing investment and operational planning.

The Altman Z-Score Formula Explained

The Altman Z-Score is a powerful predictive model that combines five weighted financial ratios to assess a company's financial health. It aims to capture various aspects of a firm's operations and financial structure to forecast potential distress.

The formula is:

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

Where:

  • X1 = (Working Capital / Total Assets) - Measures liquidity
  • X2 = (Retained Earnings / Total Assets) - Measures cumulative profitability
  • X3 = (EBIT / Total Assets) - Measures operating profitability
  • X4 = (Market Value of Equity / Total Liabilities) - Measures solvency/leverage
  • X5 = (Sales Revenue / Total Assets) - Measures asset turnover efficiency
💡 If you are evaluating your personal financial distress, our Bankruptcy Calculator can help you understand options and potential outcomes.

Analyzing Bankruptcy Risk: A Company Example

Consider a manufacturing company with the following financial data:

  • Total Assets: $500,000
  • Total Liabilities: $300,000
  • Retained Earnings: $100,000
  • EBIT: $50,000
  • Market Value of Equity: $200,000
  • Sales Revenue: $600,000

Let's calculate the Z-Score:

  1. Calculate X1 (Working Capital / Total Assets): ($500,000 - $300,000) / $500,000 = 0.40
  2. Calculate X2 (Retained Earnings / Total Assets): $100,000 / $500,000 = 0.20
  3. Calculate X3 (EBIT / Total Assets): $50,000 / $500,000 = 0.10
  4. Calculate X4 (Market Value of Equity / Total Liabilities): $200,000 / $300,000 = 0.67
  5. Calculate X5 (Sales Revenue / Total Assets): $600,000 / $500,000 = 1.20
  6. Apply Z-Score Formula: (1.2 × 0.40) + (1.4 × 0.20) + (3.3 × 0.10) + (0.6 × 0.67) + (1.0 × 1.20) = 0.48 + 0.28 + 0.33 + 0.40 + 1.20 = 2.69

The primary result, an Altman Z-Score of 2.69, places the company in the "Grey Zone," indicating moderate distress risk.

💡 For individuals managing short-term financial challenges, our Overdraft Interest Calculator can help estimate costs associated with temporary liquidity issues.

Assessing Financial Health and Distress

Beyond the Altman Z-Score, financial analysts and creditors use a suite of key financial ratios to comprehensively assess a company's financial health. The debt-to-equity ratio, typically aiming for below 1.0 for conservative companies, measures leverage. The current ratio (current assets / current liabilities), ideally above 1.5-2.0, indicates short-term liquidity. The interest coverage ratio (EBIT / interest expense), often needing to be above 3.0, gauges a company's ability to meet its debt obligations. Collectively, these metrics provide a robust view of solvency and liquidity, guiding critical investment or lending decisions in 2025.

How Analysts Interpret the Z-Score

Credit analysts and investors utilize the Altman Z-Score as a foundational quantitative tool, always supplementing it with qualitative factors. A Z-score consistently above 2.99 suggests a healthy company with low bankruptcy risk, often indicative of strong operational efficiency and robust balance sheets. Conversely, a score between 1.81 and 2.99 places the company in a 'grey zone,' signaling moderate distress risk where caution is advised, prompting deeper scrutiny into cash flow and debt maturities. A score below 1.81 indicates significant distress and a high probability of bankruptcy, often triggering immediate action from lenders or a re-evaluation of investment positions. It's crucial to remember that the Z-score is a predictive tool, not a definitive guarantee, and should be considered within the broader economic and industry context.

Frequently Asked Questions

What is the Altman Z-Score and how does it predict bankruptcy?

The Altman Z-Score is a multivariate financial formula developed by Edward Altman in 1968 that uses five financial ratios to predict a company's likelihood of going bankrupt within two years. It assigns weights to liquidity, profitability, leverage, solvency, and activity ratios, providing a single score that classifies companies into 'safe,' 'grey,' or 'distress' zones.

What are the Z-Score thresholds for bankruptcy risk?

For publicly traded manufacturing companies, a Z-Score above 2.99 indicates a 'safe zone' with low bankruptcy risk. A score between 1.81 and 2.99 falls into the 'grey zone,' suggesting moderate distress risk. A score below 1.81 is considered the 'distress zone,' signaling a high probability of bankruptcy.

Can the Altman Z-Score be used for all types of companies?

While originally developed for publicly traded manufacturing firms, the Z-Score has been adapted for private companies and non-manufacturing sectors, often with slightly different coefficients or interpretation thresholds. However, its predictive power can vary, and it's less reliable for very small businesses or financial institutions due to their unique balance sheet structures.

What are the five components of the Altman Z-Score?

The five components of the Altman Z-Score (X1 to X5) represent working capital, retained earnings, EBIT, market value of equity, and sales revenue, all normalized by total assets or total liabilities. These ratios assess liquidity, cumulative profitability, operating profitability, solvency, and asset turnover efficiency, respectively, to create a comprehensive risk profile.