How To Calculate Az Score In Excel

Calculate the Altman Z-Score (AZ Score) to assess financial health using your Excel data

Comprehensive Guide: How to Calculate AZ Score in Excel

The Altman Z-Score (often called AZ Score) is a financial metric developed by Edward I. Altman in 1968 to predict the likelihood of a company going bankrupt within two years. This powerful tool combines five financial ratios to create a single score that indicates a company’s financial health.

Why the AZ Score Matters

• Bankruptcy Prediction: The AZ Score can predict bankruptcy with up to 72-80% accuracy for public manufacturers, 1-2 years before the event.
• Credit Risk Assessment: Lenders and investors use it to evaluate creditworthiness and investment risk.
• Financial Health Monitoring: Companies use it to track their own financial stability over time.
• Comparative Analysis: Helps compare financial health across companies in the same industry.

The AZ Score Formula

The AZ Score formula differs slightly depending on whether the company is publicly traded or private, and whether it’s a manufacturer or non-manufacturer. Here are the three main variations:

Company Type	Formula	Zones
Publicly Traded Manufacturer	Z = 1.2A + 1.4B + 3.3C + 0.6D + 1.0E	Safe: > 2.99 Grey: 1.81-2.99 Distress: < 1.81
Private Manufacturer	Z’ = 0.717A + 0.847B + 3.107C + 0.420D + 0.998E	Safe: > 2.90 Grey: 1.23-2.90 Distress: < 1.23
Non-Manufacturer	Z” = 6.56A + 3.26B + 6.72C + 1.05D	Safe: > 2.60 Grey: 1.10-2.60 Distress: < 1.10

Where:

• A = Working Capital / Total Assets (Measures liquid assets relative to size)
• B = Retained Earnings / Total Assets (Measures profitability over time)
• C = EBIT / Total Assets (Measures operating efficiency)
• D = Market Value of Equity / Total Liabilities (Public companies only – measures leverage)
• E = Sales / Total Assets (Measures asset turnover efficiency)

Step-by-Step: Calculating AZ Score in Excel

1. Gather Financial Data:

   Collect the following from your financial statements:

   • Working Capital (Current Assets – Current Liabilities)
   • Retained Earnings
   • EBIT (Earnings Before Interest and Taxes)
   • Market Value of Equity (for public companies)
   • Total Assets
   • Total Liabilities
   • Sales/Revenue
2. Calculate the Ratios:

   Create these calculations in Excel:

   • =Working_Capital/Total_Assets (Cell A1)
   • =Retained_Earnings/Total_Assets (Cell B1)
   • =EBIT/Total_Assets (Cell C1)
   • =Market_Value_Equity/Total_Liabilities (Cell D1 – public companies only)
   • =Sales/Total_Assets (Cell E1)
3. Apply the Formula:

   Based on your company type, enter one of these formulas:

   • Public Manufacturer: =1.2*A1 + 1.4*B1 + 3.3*C1 + 0.6*D1 + 1.0*E1
   • Private Manufacturer: =0.717*A1 + 0.847*B1 + 3.107*C1 + 0.420*D1 + 0.998*E1
   • Non-Manufacturer: =6.56*A1 + 3.26*B1 + 6.72*C1 + 1.05*D1
4. Interpret the Results:

   Compare your score to the zones in the table above to determine financial health.

Excel Implementation Tips

• Use Named Ranges:

  Create named ranges for your financial metrics (e.g., “Working_Capital” for cell B2) to make formulas more readable and easier to maintain.

• Add Data Validation:

  Use Excel’s data validation to ensure positive values for assets, sales, etc., and prevent calculation errors.

• Create a Dashboard:

  Build a visual dashboard with conditional formatting to highlight safe/grey/distress zones automatically.

• Add Trend Analysis:

  Calculate AZ Scores for multiple years to track financial health trends over time.

• Include Industry Benchmarks:

  Add average AZ Scores for your industry to provide context for your results.

Common Mistakes to Avoid

Mistake	Impact	Solution
Using book value instead of market value for equity	Overstates financial health for public companies	Always use current market capitalization
Incorrectly calculating working capital	Distorts liquidity ratio (A)	Double-check: Current Assets – Current Liabilities
Mixing up manufacturer/non-manufacturer formulas	Completely invalid results	Verify your company classification first
Using net income instead of EBIT	Understates profitability ratio (C)	Always use earnings before interest and taxes
Ignoring negative retained earnings	May require special handling in formula	Consult Altman’s original paper for adjustments

Advanced Applications

Beyond basic bankruptcy prediction, sophisticated users apply AZ Scores for:

• Credit Scoring Models:

  Banks incorporate AZ Scores into their proprietary credit scoring systems to automate loan approval processes.

• Mergers & Acquisitions:

  Acquirers use AZ Scores to quickly assess target companies’ financial stability during due diligence.

• Supply Chain Risk Management:

  Large corporations monitor their suppliers’ AZ Scores to identify potential disruptions in their supply chain.

• Portfolio Management:

  Investment funds use AZ Scores to screen for financially stable companies and avoid distressed firms.

• Regulatory Compliance:

  Some financial regulators require AZ Score reporting as part of systemic risk monitoring.

Limitations of the AZ Score

While powerful, the AZ Score has some limitations to consider:

• Industry Specificity:

  The original model was developed for manufacturing firms. Non-manufacturers require the modified Z” score.

• Market Conditions:

  Economic downturns can make the model less accurate as bankruptcy rates increase across all scores.

• New Companies:

  Startups and young companies often score poorly due to low retained earnings, even if they’re healthy.

• Accounting Practices:

  Different accounting methods (e.g., LIFO vs FIFO) can affect the input values.

• Private Company Valuation:

  The private company model (Z’) uses book value instead of market value, which may not reflect true equity value.

Alternative Models

For more comprehensive analysis, consider these complementary models:

• Zeta Model:

  An updated version of the Z-Score that incorporates more variables and has higher accuracy.

• Ohlson O-Score:

  Uses logistic regression and includes company size as a factor, often better for larger firms.

• Merton Model:

  Options pricing approach to estimate default probability, popular in banking.

• CreditRisk+:

  Credit Suisse’s model focusing on default correlation, used for portfolio credit risk.

• KMV Model:

  Uses distance-to-default concept and market-based inputs for public companies.

Academic Research on AZ Scores

The original AZ Score model was published in Edward I. Altman’s 1968 paper “Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy” in the Journal of Finance. The model has been validated in numerous studies over the past five decades.

A 2012 study by the Federal Reserve found that AZ Scores remained significantly predictive even during the 2008 financial crisis, though with slightly reduced accuracy compared to normal economic conditions.

For the most current research on bankruptcy prediction models, consult the U.S. Small Business Administration’s financial analysis resources, which include updated benchmarks for private company AZ Scores by industry.

Implementing AZ Scores in Business Strategy

Companies can use AZ Score analysis to:

• Proactive Financial Management:

  Regular AZ Score calculations can identify deteriorating financial health early, allowing time for corrective actions like cost cutting or refinancing.

• Investor Communications:

  Public companies with strong AZ Scores can highlight this in investor presentations as evidence of financial stability.

• Supplier Negotiations:

  Companies with high AZ Scores may negotiate better payment terms with suppliers due to their demonstrated financial strength.

• Insurance Premiums:

  Some business insurance providers offer lower premiums to companies with strong AZ Scores, as they represent lower risk.

• Strategic Planning:

  AZ Score trends can inform strategic decisions about expansion, divestment, or restructuring.

Excel Template for AZ Score Calculation

To create a reusable AZ Score calculator in Excel:

1. Create an input section with labeled cells for all required financial metrics
2. Add dropdown menus for company type selection
3. Implement the appropriate formula using IF statements to handle different company types
4. Add conditional formatting to highlight the result based on the zone it falls into
5. Create a simple dashboard with:
   • The calculated AZ Score
   • Zone classification (Safe/Grey/Distress)
   • Visual indicator (e.g., traffic light colors)
   • Trend chart for historical comparison
6. Add data validation to prevent invalid inputs
7. Include helpful notes explaining each ratio and its significance
8. Protect the formula cells while leaving input cells editable

Case Study: AZ Score in Practice

In 2018, a mid-sized manufacturing company with declining profits used AZ Score analysis to:

• Identify the Problem:

  Their AZ Score had dropped from 3.2 (Safe) to 2.1 (Grey Zone) over 18 months, primarily due to declining retained earnings and EBIT margins.

• Take Action:

  The company implemented cost-cutting measures, renegotiated supplier contracts, and focused on their most profitable product lines.

• Monitor Progress:

  By tracking their AZ Score monthly, they saw improvement to 2.7 within 6 months, moving back toward the Safe Zone.

• Secure Financing:

  The improving AZ Score helped them secure a favorable loan for equipment upgrades that further improved their efficiency.

Future Developments in Bankruptcy Prediction

While the AZ Score remains widely used, new approaches are emerging:

• Machine Learning Models:

  AI algorithms can analyze thousands of data points beyond traditional financial ratios, potentially improving prediction accuracy.

• Real-time Monitoring:

  Cloud-based systems now allow continuous AZ Score calculation using live financial data feeds.

• Industry-Specific Models:

  Researchers are developing tailored versions of the AZ Score for specific industries like healthcare, technology, and retail.

• Non-Financial Factors:

  New models incorporate ESG (Environmental, Social, Governance) metrics alongside traditional financial ratios.

• Network Analysis:

  Some advanced models consider a company’s position in supply chain networks and customer relationships.

Frequently Asked Questions About AZ Scores

How often should I calculate my company’s AZ Score?

For most businesses, quarterly calculation aligns well with financial reporting cycles. Companies in financial distress or rapid growth phases may benefit from monthly monitoring.

Can I use the AZ Score for personal finance?

While designed for corporations, some financial advisors have adapted the concept for personal finance by using:

• Net worth instead of working capital
• Personal savings instead of retained earnings
• Household income instead of EBIT
• Total debt instead of total liabilities

However, the interpretive zones would need adjustment for personal finance contexts.

What’s the difference between AZ Score and credit score?

While both assess financial health, they differ significantly:

Feature	AZ Score	Credit Score
Purpose	Predicts bankruptcy risk	Assesses creditworthiness
Scope	Company-level financial analysis	Individual or company credit history
Data Source	Financial statements	Credit bureau reports
Time Horizon	1-2 year bankruptcy prediction	General credit risk assessment
Calculation	Financial ratio analysis	Propietary algorithms using payment history, etc.

Is the AZ Score still relevant today?

Absolutely. While developed in 1968, the AZ Score remains one of the most validated and widely used financial health metrics. A 2020 study in the Journal of Corporate Finance found that the AZ Score maintained predictive power even for modern tech companies when properly adjusted for their asset-light business models.

Can I use the AZ Score for non-profit organizations?

Non-profits can adapt the model by:

• Using unrestricted net assets instead of retained earnings
• Substituting program service revenue for sales
• Adjusting the interpretive zones based on non-profit financial benchmarks

However, the standard commercial interpretive zones may not apply directly to non-profits.