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Bankruptcy Analysis

Bankruptcy analysis is the assessment of how likely a company is to become unable to pay its debts, and of what would happen to its various creditors and shareholders if it did. Lenders use it before extending credit, investors use it to price risk, suppliers use it to set terms, and auditors use it to decide whether a company can be treated as a going concern.

It combines financial ratios, cash flow projections, statistical models and qualitative judgement about management, markets and access to funding.

What it means

Companies rarely fail suddenly. Distress usually builds over several years through a recognisable sequence: margins compress, cash flow from operations weakens, borrowing rises to fill the gap, working capital deteriorates as suppliers are paid later and inventory piles up, and eventually the company cannot refinance or meet an obligation as it falls due.

Bankruptcy analysis looks for that sequence early enough to act. The quantitative core is a set of ratios covering liquidity (can the company pay what is due this year), leverage (how much debt relative to assets or earnings), coverage (how many times earnings or cash flow cover interest and principal payments), profitability and cash generation.

No single ratio is decisive, so analysts combine them. The best known combination is the Altman Z-score, developed in the 1960s and still widely used, which weights five ratios into a single score with zones indicating safety, uncertainty and distress.

Other models, such as the Ohlson O-score and logistic regression models used by credit rating agencies, do the same with different inputs. Market-based models, such as those derived from option pricing, infer default probability from share price volatility and the level of debt.

The qualitative side matters just as much. Concentrated customers, expiring contracts, litigation, a covenant close to breach, an approaching debt maturity, management turnover and a history of restatements all raise risk in ways ratios miss.

So does the question of who would provide fresh money: a company with committed undrawn facilities and supportive shareholders can survive numbers that would sink one without them. The second half of bankruptcy analysis concerns recovery.

If the company does fail, who gets what? Secured creditors are paid from the assets pledged to them, then other creditors in the order the law sets, with shareholders last and usually receiving nothing.

Estimating recovery rates for each class determines how much a lender will lend against what security, and how a distressed bond should be priced.

In practice

Real-world examples.

1

Example

A bank's credit team runs a Z-score and cash flow forecast on a borrower whose interest cover has fallen below 2.0 and moves the loan to its watch list.

2

Example

A supplier reviews a large customer's published accounts, notes rising payables days and a covenant waiver, and reduces the credit limit while asking for partial payment in advance.

3

Example

An auditor assesses whether a client with a loan maturing in nine months and no committed refinancing can be treated as a going concern, and adds an emphasis of matter paragraph to the audit report.

Think of it

Bankruptcy analysis is like a doctor assessing whether a patient might need emergency intervention. You're looking for warning signs.

Formula

Calculation

Altman Z-score (original model for public manufacturing companies): Z = 1.2 x A + 1.4 x B + 3.3 x C + 0.6 x D + 1.0 x E where A = Working Capital / Total Assets, B = Retained Earnings / Total Assets, C = EBIT / Total Assets, D = Market Value of Equity / Total Liabilities, E = Sales / Total Assets Zones: above 2.99 is the safe zone; 1.81 to 2.99 is the grey zone; below 1.81 is the distress zone. Worked example. A listed manufacturer reports: - Total assets: $500 million - Working capital: $40 million - Retained earnings: $60 million - EBIT: $15 million - Market value of equity: $120 million - Total liabilities: $380 million - Sales: $600 million A = 40 / 500 = 0.08; B = 60 / 500 = 0.12; C = 15 / 500 = 0.03; D = 120 / 380 = 0.316; E = 600 / 500 = 1.2 Z = 1.2 x 0.08 + 1.4 x 0.12 + 3.3 x 0.03 + 0.6 x 0.316 + 1.0 x 1.2 Z = 0.096 + 0.168 + 0.099 + 0.190 + 1.2 = 1.75 The company is in the distress zone. Its sales are healthy relative to assets, but thin profitability, small retained earnings and heavy liabilities relative to a modest market value pull the score down. A lender would want to see a credible plan for margin improvement and debt reduction before extending new credit, and would price any loan for elevated risk. Coverage check: if the company's annual interest is $12 million, its interest cover is EBIT / interest = 15 / 12 = 1.25 times, leaving almost no margin for a bad year.

Case study

Seen in the real world.

A private equity fund held a portfolio company, a chain of casual dining restaurants, that had been struggling for two years. The fund's analysis showed EBITDA down 40%, net debt at 6.5 times EBITDA against a covenant of 5.0, interest cover of 1.1 times and a $90 million term loan maturing in fourteen months. Its Z-score equivalent for private companies had fallen from 2.4 to 1.3.

The fund modelled three scenarios: a trading recovery, an out-of-court restructuring in which lenders swapped part of the debt for equity, and a formal insolvency. The recovery analysis showed that in insolvency the secured lenders would recover about 55 cents on the dollar from the sale of the best 60 sites, unsecured creditors almost nothing and the fund nothing.

That analysis, shared with the lenders, persuaded them that a consensual restructuring in which they took 70% of the equity and extended maturities by four years was better than forcing the issue. The chain closed 40 sites, returned to profit in eighteen months, and the lenders eventually recovered in full.

Watch out

Common mistakes.

  • Relying on a single model or score. Models are trained on historical failures in particular industries and periods; use several and apply judgement.
  • Looking only at profit. Companies fail because they run out of cash and access to funding, not because they report a loss.
  • Ignoring the maturity profile of debt. A solvent company with a large loan due next quarter and no refinancing is in danger.

Questions

People also ask.

What is a good Z-score?

Above 3.0 is generally safe, below 1.8 signals distress, and the range between requires closer investigation. Different versions of the model apply to private and non-manufacturing companies.

Can a profitable company go bankrupt?

Yes. Profit is an accounting measure; bankruptcy is about being unable to pay debts when due, which is a cash and funding question.

What is the difference between insolvency and bankruptcy?

Insolvency is the financial state of being unable to pay debts. Bankruptcy is the legal process that may follow. Terminology differs between countries.

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Last updated · September 5, 2026
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