How does the Altman Z-score work as a tool for assessing financial distress, and how can analysts use it in earnings quality analysis?

The Altman Z-score is a multivariate bankruptcy prediction model developed by Edward Altman in 1968. It combines five financial ratios into a single discriminant score that classifies companies into zones of safety, uncertainty, or distress.

The Original Z-Score Formula (Manufacturing Companies):

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

Where:

Interpretation:

Worked Example — Belmont Industries:

Z = 1.2(0.1263) + 1.4(0.2947) + 3.3(0.0895) + 0.6(0.7636) + 1.0(1.1579)

Z = 0.1516 + 0.4126 + 0.2953 + 0.4582 + 1.1579 = 2.48

Belmont falls in the grey zone — not immediately distressed but warrants careful monitoring.

Connection to Earnings Quality:

1. Trend analysis — a declining Z-score over time may signal deteriorating earnings quality or increasing financial risk, even if reported earnings appear stable
2. Companies with aggressive accounting tend to have inflated retained earnings (X₂) and EBIT (X₃), which temporarily inflate the Z-score. When restatements occur, the Z-score drops sharply.
3. Comparison to peers — a significantly lower Z-score than industry average may indicate either lower quality earnings or higher financial risk.
4. Pre-manipulation baseline — compute Z-score using adjusted/normalized financials to see if the "true" score differs from the reported score.

Variants:

• Z'-score — for private companies (replaces market cap with book value of equity in X₄)
• Z''-score — for non-manufacturing and emerging market companies (drops X₅)

Key Exam Points:

1. Know the five components and their economic meaning.
2. Know the three zones: Safe (>2.99), Grey (1.81-2.99), Distress (<1.81).
3. The Z-score is a screening tool, not definitive proof of bankruptcy.
4. Analysts should use it alongside other quality metrics (Beneish M-score, Sloan accrual ratio).

Explore more financial analysis tools in our CFA Level II question bank.