Detecting Window Dressing Through Financial Statements: What Should Be Compared?

Window dressing is difficult to identify from a single figure. A company may close a reporting period with higher cash or healthier ratios without necessarily engaging in manipulation.

Therefore, window dressing analysis should not begin by looking for a single suspicious ratio, but by testing whether the story presented by the income statement, balance sheet, and cash flow statement is consistent.

PCAOB AS 2401 identifies significant unusual transactions, unexpected analytical relationships, and period-end journal entries and adjustments as areas that may require additional examination when fraud risk is present.

Start from the Relationship Between Profit and Cash Flow

Profit and cash do not have to move identically because of accrual-based accounting. However, a continuously widening gap needs to be explained.

For example, profit increases over several periods while operating cash flow continues to weaken. Analysis can trace whether the change comes from an increase in receivables, inventory, prepayments, or other factors that absorb cash.

IAS 7 divides cash flow into operating, investing, and financing activities. The CFA Institute also includes comparing net profit with operating cash flow as one of the steps in evaluating the quality of financial statements.

So, what is being looked for is not merely "high profit but low cash," but whether the cause of the difference is consistent with the business model.

Examine Working Capital Around the Reporting Date

A sharp increase in receivables may indicate higher credit sales. A decline in inventory may reflect strong sales. A decrease in trade payables may mean the company accelerated payments to suppliers. All of these can be normal.

The question is, are those changes aligned with one another?

If revenue rises sharply toward the end of the period while receivables also surge and operating cash flow does not improve, the quality of that growth warrants further examination.

This pattern can also be tested through actual transactions in bank statements, so that the ending balance is not read separately from the flow of funds that formed it.

Yearly comparisons can miss changes that occur right before book closing. If available, monthly or quarterly data provides better context.

PCAOB suggests using more segmented data—for example, revenue per month, product line, or segment—to find unusual relationships or transactions. The same standard also highlights revenue approaching the end of the period as well as period-end journal entries or adjustments with minimal explanation.

Therefore, a sales spike in the last month or a large transaction that immediately reverses at the beginning of the next period is more informative than a single ratio on the reporting date.

When changes like this appear, financial statement analysis can be used to connect the discussion with how to prioritize anomalies based on consistency and supporting evidence.

Match Changes in Numbers with Business Drivers

Financial numbers should have operational explanations.

If revenue increases by 30%, did sales volume, pricing, customer numbers, or production capacity also change? If gross margin jumps, was there a change in selling prices, raw material costs, product mix, or accounting policies?

A mismatch does not automatically prove window dressing. However, the larger the financial change without a verifiable business driver, the stronger the reason to trace it.

The CFA Institute recommends evaluating the quality of statements through understanding the business, comparing across periods, accounting policies, ratios, and the difference between net profit and operating cash flow.

Pay Attention to Classification and Unusual Transactions

Window dressing does not always appear as fictitious numbers. The appearance of statements can change because of timing, classification, or non-routine transactions.

Analysts can pay attention to large changes between short-term and long-term liabilities, one-time transactions that boost profit, or period-end adjustments that make certain indicators look better.

PCAOB states that significant transactions outside normal activities or those unusual due to timing, size, or nature need to have their business purpose understood. Adjustments and reclassifications are also relevant when assessing the risk of statement manipulation.

Therefore, notes to the financial statements, changes in accounting policies, and explanations of material transactions should be reviewed alongside the primary figures.

One of the most useful ways to assess whether end-of-period changes are temporary is to look at what happens after the reporting date.

Whether surging receivables are actually collected, whether increased cash is retained or immediately flows out, whether large transactions before book closing are then reversed, or whether invoices and bank statements support the reported sales.

Cross-checking with bank statements, invoices, contracts, or management reports helps determine whether a change truly represents business activity. Analysis of bank statements can be placed here to connect financial statement numbers with bank transactions as supporting evidence.

When Do Indications of Window Dressing Deserve Follow-Up?

Signals become stronger when several conditions appear at the same time: changes occur near the reporting date, are inconsistent with previous trends, have no clear business driver, are not supported by cash flow or source documents, or immediately reverse after the period ends.

Conversely, large changes that can be explained by new contracts, seasonality, refinancing, price changes, or other operational conditions should not immediately be considered window dressing.

The way to detect window dressing is not by looking for a single magic ratio. Instead, a stronger approach is to compare profit with cash flow, test working capital, look at patterns before and after period close, understand unusual transactions, and match financial numbers with business drivers and supporting documents.

Window dressing becomes worth suspecting when performance looks strong on the reporting date, but the same story does not hold up when tested against other periods, cash flow, and operational evidence.