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Red flags in financial statements: Spotting accounting tricks

Hatim Janjali
January 31, 2026
2 minutes read
Red flags in financial statements: Spotting accounting tricks

Accounting fraud remains the costliest form of corporate deception—representing just 5% of fraud cases but causing median losses of $766,000 per incident. Revenue manipulation alone accounts for 43-60% of all financial statement fraud discovered by regulators. For Indian investors allocating capital to US markets, understanding these warning signs is essential to protect against catastrophic portfolio losses. This guide provides the complete toolkit for detecting manipulation before it destroys shareholder value.

Understanding financial statement red flags is a critical component of fundamental analysis for Indian investors evaluating US stocks.

The January 2026 landscape presents both heightened risks and improved detection capabilities. The SEC collected a record $8.2 billion in financial remedies in fiscal 2024, while PCAOB inspections show that even Big Four auditors have audit deficiency rates of 14-28%. Recent cases like Super Micro Computer—where the stock plummeted over 70% following auditor resignation and accounting investigations—demonstrate that no company is too prominent to manipulate its books.

The anatomy of financial statement fraud in US markets

Financial statement fraud involves deliberate misrepresentation of a company's financial condition through intentional misstatements or omissions. According to the Association of Certified Fraud Examiners' 2024 Report to the Nations, which analysed 1,921 fraud cases across 138 countries, the financial impact is staggering: organisations lose an estimated 5% of annual revenue to fraud, with the median fraud scheme lasting 12 months before detection.

The perpetrator profile reveals a troubling pattern: CFOs are involved in 54% of financial statement fraud cases, followed by CEOs at 31%. External audits—the primary safeguard investors rely upon—detect only 4% of fraud. Instead, 43% of fraud is discovered through tips, primarily from employees (52%) and customers (21%). This reality underscores the need for investors to develop independent detection capabilities.

Recent high-profile cases illustrate the ongoing threat. Super Micro Computer faced revenue recognition and internal control issues in 2024, with EY resigning and stock declining over 70%. Kubient discovered that 94% of its IPO revenue was fabricated, prompting criminal charges against its executives. BF Borgers CPA was permanently banned for fabricating audits for over 1,500 filings. GrubMarket overstated revenue by $550 million in 2025. Terraform Labs received a $4.5 billion judgment for securities fraud.

Revenue recognition: The manipulation method of choice

Revenue recognition fraud is the largest category of financial statement manipulation, accounting for 43% of SEC enforcement actions and 27% of PCAOB disciplinary orders. The techniques are sophisticated but detectable with proper analysis.

Channel stuffing involves pushing excessive inventory to distributors before genuine demand exists, artificially inflating near-term sales. Elanco Animal Health paid a $15 million SEC settlement in 2024 for undisclosed quarter-end incentives that enticed distributors to accept excess inventory. Bristol-Myers Squibb received a $150 million penalty for overstating revenues by $1.5 billion through pharmaceutical channel stuffing—the red flag: revenue spikes at quarter-end accompanied by rising Days Sales Outstanding.

Bill-and-hold arrangements record revenue before physical delivery, keeping goods in the seller's warehouse while booking the sale. Revolution Lighting Technologies executives faced charges for recording anticipated future sales as current revenue for more than four years, and for providing backdated documentation to auditors. The SEC's criteria require that the customer—not the seller—must request such arrangements.

Round-tripping transactions create artificial revenue through circular trades where companies sell assets and repurchase them at similar prices. Qwest Communications paid a $250 million fine after inflating revenue by $3.8 billion through network capacity swaps. Time Warner faced a $300 million civil penalty for $690 million in round-tripping advertising revenue.

The detection framework for revenue manipulation centres on several key metrics. Days Sales Outstanding, calculated as (Receivables / Revenue) × 365, should trigger concern with sharp increases. Receivables Growth compared to Revenue Growth should maintain a ratio below 1.0. End-of-Quarter Revenue should not be disproportionately high without a seasonal reason. The Beneish DSRI (Current DSO ÷ Prior DSO) above 1.1 indicates concern.

Expense capitalisation: WorldCom's $11 billion playbook

Expense capitalisation fraud converts current operating expenses into long-term assets, artificially inflating profits by deferring expense recognition over years rather than booking costs immediately. WorldCom's $11 billion fraud—the largest accounting fraud in US history at the time—serves as a definitive case study.

WorldCom's scheme unfolded in two phases. From 1999 to 000, management released $3.3 billion in accrued reserves against line costs without proper analysis. When reserves were exhausted, they began directly capitalising operating line costs—fees paid to other telecom carriers that are unequivocally operating expenses under GAAP—creating a fictional term, "prepaid capacity," to justify entries totalling $3.8 billion. The fraud transformed what should have been a $401 million Q2 2001 loss into a reported $159 million profit.

Detection requires comparing capital expenditure patterns to depreciation and revenue. The Capex to Depreciation Ratio for mature companies should typically range from 1.0-1.5x and remain stable. A ratio consistently above 2.0x, or one that is rapidly increasing, warrants investigation. Capitalised Costs asa Percentage of Revenue should be tracked over multiple years. Sudden increases without corresponding operational changes signal potential manipulation.

Penn West Petroleum demonstrated another variation: improperly capitalising hundreds of millions in operating expenses as capital expenditures, thereby artificially reducing operating costs by up to 20% in specific periods and drawing an $8.5 million SEC penalty.

Off-balance sheet manipulation: Lessons from Enron's collapse

Person refusing cash offer with hand gesture over financial documents representing deal rejection

Off-balance-sheet arrangements can legitimately manage risk and optimise capital structure, but they also enable misrepresentation ofpropere leverage and financial health. Enron's collapse—destroying $74 billion in shareholder value—resulted from systematic abuse of Special Purpose Entities.

Enron exploited accounting rules requiring only 3% independent capital to avoid consolidation, creating hundreds of SPEs to raise debt while keeping liabilities off its balance sheet. The infamous "Raptor" transactions used SPEs funded primarily by Enron stock to purchase the company's underperforming assets, generating paper gains that offset real losses. When Enron's stock price declined, these entities collapsed, forcing sudden loss recognition that destroyed the company.

Post-reform landscape: ASC 810 tightened consolidation rules for Variable Interest Entities, and ASC 842 (effective 2019 for public companies) brought most operating leases onto the balance sheet. However, manipulation opportunities persist. Variable leases with payments tied to indices or usage metrics, non-commenced leases (signed but not started), short-term leases under 12 months, and all leases of intangible assets remain off-balance sheet.

To detect hidden obligations, scrutinise IE footnotes for maximum exposure to loss and qualitative involvement descriptions. Examine commitment and contingencies, including purchase commitments, guarantees, and letters of credit. Review related party transactions for large, complex transactions not adequately disclosed. Analyse lease disclosure maturity to identify gaps between minimum payments and the recognised liability.

Accrual manipulation and the Beneish M-Score detection system

Accruals—the difference between earnings and cash flow—represent management's estimates about future events and create substantial manipulation opportunities. Cookie jar reserves involve overestimating expenses during profitable periods, then releasing these reserves during challenging quarters to smooth earnings.

Bristol-Myers Squibb paid a $100 million civil penalty and a $50 million shareholder fund for using cookie-jar reserves, including warranty manipulation. WorldCom released $3.3 billion in accruals to boost earnings before turning to expensecapitalisationn when reserves were exhausted.

The Beneish M-Score provides a statistically validated framework for detecting earnings manipulation, correctly identifying 76% of manipulators with a 17.5% false-positive rate. The complete 8-variable formula: M-Score = -4.84 + 0.92×DSRI + 0.528×GMI + 0.404×AQI + 0.892×SGI + 0.115×DEPI - 0.172×SGAI + 4.679×TATA - 0.327×LVGI.

The key variables include DSRI (Days' Sales in Receivables Index) detecting revenue inflation, GMI (Gross Margin Index) detecting margin pressure creating manipulation incentive, AQI (Asset Quality Index) detecting cost capitalisation (Sales Growth Index) detecting growth pressure, and TATA (Total Accruals to Total Assets) with the highest coefficient of 4.679, making itthe most predictive.

Interpretation: M-Score greater than -2.22 indicates likely manipulation; greater than -1.78 indicates high probability. Cornell University students used the M-Score to identify Enron as a manipulator before its collapse, even as analysts still recommended "buy."

The Sloan Accrual Ratio provides complementary analysis: (Net Income - CFO - CFI) ÷ Total Assets. Values between -10% and +10% represent the safe zone; ratios outside -25% to +25% indicate earnings likely consist primarily of non-cash accruals—a danger signal.

Cash flow divergence: When profits don't convert to cash

The fundamental principle is straightforward: over time, net income and operating cash flow shouldmove in lockstep. Persistent divergence—particularly growing net income with declining or negative operating cash flow—signals earnings quality problems that may indicate fraud.

The Quality of Earnings Ratio (Operating Cash Flow ÷ Net Income) is the primary metric for assessing quality. A ratio above 1.0 indicates high quality where cash exceeds reported income. A ratio between 0. and -1.0 is acceptable with minor timing differences. A value below 0.8 triggers a warning requiring investigation of non-cash items. A reading below 0.5 or negative is a major red flag, indicating that earnings aren't converting to cash.

WorldCom's cash flow deterioration preceded the revelation of its fraud. Free cash flow collapsed from +$351 million in 1999 to -$964 million in 2000, even as the company continued to report profits. CEO Bernie Ebbers claimed the company was "free cash flow positive" shortly before the fraud was discovered.

The warning signs requiring investigation include net income growth with operating cash flow decline for two or more consecutive quarters, persistently negative free cash flow despite reported profits, working capital changes that don't align with business operations, and large non-cash items in the reconciliation between net income and cash flow from operations.

Audit red flags that signal deeper problems

The auditor's report—the only section of financial filings not prepared by company management—provides critical signals about the reliability of the financial statements. Understanding audit opinion types and their implications is essential.

Qualified opinions indicate issues that are material but not pervasive—proceed with caution in the specific area identified. Adverse opinions state that financial statements do not present fairly the company's financial position—a serious red flag indicating that the statements cannot be relied upon. Disclaimer of opinion represents the most severe outcome—the auditor cannot express any opinion, often due to scope limitations or substantial uncertainties.

Going concern opinions indicate substantial doubt about the company's ability to continue operating. Research shows an 85% correlation between going concern disclosure and eventual bankruptcy. Stock price impacts can be severe: Cineworld's shares dropped 75% in one week after its going concern disclosure.

Material weaknesses in internal controls under SOX 404 deserve particular attention. Research by Donelson et al. found that 2.5% of firms with material weaknesses have future fraud revelations—2.7 times greater than the 0.92% rate for matched firms without weaknesses.

PCAOB inspection deficiency rates for 2024 reveal variations in audit quality. Deloitte reported a 14% deficiency rate, down from 21%. PwC showed 16%, down from 18%. KPMG showed 20% down from 26%. EY showed 28%, down from 37%. Grant Thornton showed 48,% down from 54%. BDO showed 60% down from 86%.

Auditor resignations warrant particular scrutiny—far more concerning than client-initiated dismissals. When EY resigned from Super Micro Computer in October 2024, citing an "unwillingness to be associated" with management's financial representations, the stock price plummeted.

Accounting policy changes as manipulation signals.

Legitimate accounting changes follow clear business rationales and apply consistently. Manipulative changes exploit policy flexibility to achieve desired financial outcomes.

Revenue recognition policy changes from over-time to upfront recognition, without a transparent business justification, warrants investigation. Frequent year-to-year changes, adoption of policies that deviate from industry norms, and large Q4 revenue concentrations all signal potential manipulation.

Depreciation method changes that extend useful lives beyond industry norms reduce annual depreciation expense and inflate current profits. Compare valid life assumptions disclosed in footnotes to peer companies.

Inventory valuation changes from LIFO to FIFO during inflationary periods, which inflate profits by reducing the cost of goods sold. Watch for changes in obsolescence reserve methodology and failure to write down slow-moving inventory.

Restatements indicate previously filed financials contained errors requiring correction. "Big R" restatements—where previously filed statements are deemed unreliable—are particularly concerning. In 2024, Big R restatements reached a 9-year high, with fraud implicated in approximately 7% of them. The average 2023 restatement reduced net income by nearly $16 million.

Non-GAAP metrics require scrutiny. When adjusted (non-GAAP) earnings rise while GAAP earnings and cash flow stagnate, the widening gap signals "accounting fatigue." The SEC has brought criminal fraud charges based on non-GAAP manipulation in United States v. Carroll.

Detection tools and practical application for Indian investors

Two investigators reviewing documents and evidence on desk representing due diligence research

Beyond the Beneish M-Score, several analytical frameworks help identify manipulation. The Altman Z-Score predicts bankruptcy risk, creating incentives for manipulation. A Z-Score below 1.81 indicates high bankruptcy probability within two years; between 1.81 and 2.99 represents a grey zone; above 2.99 indicates low risk. Declining Z-Scores signal financial stress that may drive manipulative behaviour. Law of Analyses analyses the distribution of leading digits in economic data. In naturally occurring datasets, "1" appears as the leading digit 30.1% of the time, declining to just 4.6% for "9." Fabricated numbers tend toward uniform distribution. This analysis is admissible in federal, state, and local courts and helped detect the HealthSouth fraud where entries clustered just below testing thresholds.

Forensic ratio analysis should include Operating Cash Flow/Net Income (warning when consistently below 0.8), Days Sales Outstanding (warning when rising faster than industry), Inventory Turnover (warning when declining while revenue grows), Capex/Depreciation (warning when sustained above 2.0x), and Receivables/Revenue (warning when growing faster than sales).

These detection metrics complement the essential financial ratios every Indian investor should understand when conducting comprehensive stock analysis.

SEC filings to examine include 10-K Item 7 (MD&A) comparing management narrative to actual numbers, 10-K Item 8 (Footnotes) covering accounting policies and related parties, 10-K Item 9A covering internal control assessment, 8-K Item 4.01 covering auditor changes and disagreements, 8-K Item 4.02 covering non-reliance on previously issued financials, and DEF 14A (Proxy) covering executive compensation and related party transactions.

Accessing SEC filings from India requires navigating to sec.gov/edgar and using the company search function. Enter ticker symbols (AAPL, MSFT) or company names. Filter by form type (10-K for annual reports, 10-Q for quarterly). Free analysis tools accessible from India include SEC EDGAR for complete regulatory filings, Finviz for screener with 67+ filters and heat maps, Yahoo Finance for real-time quotes and financial statements, Stock Analysis (stockanalysis.com) for 130,000+ stocks with financials and forecasts, and Beneish M-Score Calculator at apps.kelley.iu.edu/beneish/mscore/mscoreinput.

Critical US GAAP differences from Indian GAAP/IFRS include LIFO inventory being permitted under US GAAP but prohibited under IFRS, goamortizedt being amortised for US public companies (only impairment tested), and R&D costs being generally expensed under US GAAP. In contrast, capitalisation costs can be capitalised under IFRS, whereas under US GAA, the balance sheet shows current assets first; IFRS often shows non-current assets first.

Comprehensive red flag checklist: When to investigate versus avoid

Investigate further for moderate risk indicators, including Operating cash flow/net income ratio declining below 0.8, Days Sales Outstanding increasing faster than industry peers, inventory growing faster than cost of goods sold, a single accounting policy change without a clear rationale, a one-time executive departure in the finance function, and stock-based compensation exceeding 15% of revenue in tech companies.

Proceed with extreme caution for high-risk indicators, including Beneish M-Score above -2.22, auditor change combined with accounting policy changes, related party transactions without clear business purpose, two or more consecutive quarters of cash flow/earnings divergence, declining gross margins without competitive explanation, and prior history of restatements or SEC investigation.

Avoid entirely for critical risk indicators, including a Beneish M-Score above -1.78, a qualified or adverse audit opinion, an active SEC investigation or disclosed subpoenas, auditor resignation (versus dismissal), material weaknesses in internal controls over multiple periods, and five or more red flags from the checklist above.

The evidence is clear: accounting fraud remains prevalent, costly, and often undetected by professional auditors. For Indian investors allocating capital to US markets, developing independent detection capabilities provides essential portfolio protection. The Beneish M-Score—identifying 76% of manipulators—should become a standard screening tool. A cash flow analysis that compares net income to operating cash flow over multiple periods reveals earnings quality issues before they become headlines. A review of auditor reports, accounting policy changes, and footnote disclosures can surface red flags that quantitative screening may miss.

The most important insight from this analysis is that red flags cluster. Companies that manipulate one area of the financial statements typically show warning signs across multiple metrics. A single concerning ratio may reflect legitimate business conditions; five warning signs in combination almost certainly indicate problems requiring either deep investigation or portfolio exclusion. The tools and frameworks presented here—M-Score calculations, cash flow analysis, footnote examination, and red flag checklists—transform abstract warning signs into actionable investment decisions.

Disclaimer: The views and recommendations made above are those of individual analysts or brokerage companies, and not of Winvesta. We advise investors to check with certified experts before making any investment decisions.

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