Abstract
The South African accounting profession has been severely affected by high-profile corporate scandals involving state capture and unethical conduct by members of the profession and major firms, including the Big Four audit firms. These scandals, such as VBS Mutual Bank, Steinhoff, and Tongaat, have raised public concerns about the role of auditors and professional bodies like the South African Institute of Chartered Accountants (SAICA) in safeguarding the public interest. Although there is a perception that corporate fraud is a recent issue, historical cases like the 1720 South Sea Bubble confirm that fraud is a persistent and evolving threat.
Contemporary research reflects a continued increase in economic crime, with PricewaterhouseCooper’s 2022 Global Economic Crime and Fraud Survey reporting that 51% of companies experienced fraud in the previous two years. Similarly, the Association of Certified Fraud Examiners (ACFE) estimated that organisations lose approximately 5% of annual revenue to fraud. Such crimes affect a wide range of stakeholders and reduce the funding for critical services. In response, regulators have implemented legislative reforms such as the Sarbanes-Oxley Act in the United States to improve accountability and transparency.
The public expectation remains that auditors should detect and prevent fraud, although standards such as ISA 240 and 315 clarify that the auditor’s role is to assess risks and obtain reasonable assurance, not to guarantee fraud-free financial statements. However, analytical procedures, particularly financial ratio analysis, are widely endorsed for fraud detection.
Financial ratio analysis examines the relationships between financial statement figures to detect anomalies that may suggest fraudulent financial reporting (FFR). Common approaches include horizontal, vertical, and operating ratio analyses. Ratios are often compared over time and against industry benchmarks to identify inconsistencies. This technique is endorsed by auditing standards and policy bodies such as the Committee of Sponsoring Organizations of the Treadway Commission and the American Institute of Certified Public Accountants.
FFR refers to intentional misrepresentation of financial data to mislead stakeholders. This includes inflated revenues, understated liabilities, and manipulated disclosures. According to ISA 240, fraud involves deception by parties, such as management, with the intention of obtaining an unlawful advantage. FFR contravenes financial reporting standards and violates corporate legislation such as the South African Companies Act.
FFR typically begins as a temporary solution to business problems, but evolves into sustained deception. Motivations for FFR include meeting earnings targets, maintaining share prices, and avoiding breach of debt covenants. Historic corporate collapses, Enron, WorldCom, Lehman Brothers, Olympus, and Satyam, demonstrate this pattern, giving rise to the term “decade of corporate scandals”.
Numerous studies support the use of financial ratio analysis in detecting FFR. A Malaysian study found significant differences in key ratios between fraudulent and non-fraudulent companies. Another study confirmed the success of the method in identifying distressed companies, with a precision of 83,3%, whilst others identified specific ratios linked to fraudulent behaviour among companies listed on the Nairobi Securities Exchange. However, one study presented a contrasting view, finding limited predictive value in ratios. These contradictory findings point to a research gap that the current study sought to address.
The core problem identified in this study was the inconsistent effectiveness of financial ratios in detecting FFR. The research aimed to evaluate which ratios are most effective and whether they could have detected irregularities in five of the biggest global fraud scandals: Enron, WorldCom, Lehman Brothers, Olympus, and Satyam.
The research was guided by interpretivism and agency theory. Shareholders (principals) entrust company directors (agents) with stewardship over corporate affairs. As such, directors have a responsibility to produce fair and truthful financial statements. Given the subjective nature of fraud and multiple “realities”, interpretivism was chosen as the methodological lens. A qualitative approach was followed, involving content analysis of the five selected fraud cases, focussing on their original financial statements (not restated) to avoid hindsight bias.
Data selection focused on the 2000–2010 period, labelled the “decade of scandals”. Only companies listed with available statements, forensic reports, and quantifiable losses were included. The study’s methodology involved calculating and analysing financial ratios from five years of each company’s financials (the year of FFR and the four previous years).
The study adopted Persons’ (1995) financial ratio model, which includes eight primary ratios under four categories: leverage (e.g. total liabilities to assets), profitability (e.g. net income to total assets), asset composition (e.g. receivables to total assets) and efficiency (e.g. sales to total assets). Additional results from later research were incorporated to enhance the analysis, including the current ratio, the quick ratio, and sales growth.
The case analysis used the CRIME model, Cooks, Recipes, Incentives, Monitoring and End results, as a lens for discussion. Each company was assessed based on who committed the fraud (cooks), the method used (recipe), the reasons behind it (incentives), the oversight structures (monitoring), and the impact (end results). Key insights emerged:
- Enron manipulated earnings using complex off-balance sheet vehicles and derivatives (mark-to-market accounting), driven by pressure to meet analysts’ expectations and reward structures.
- Olympus hid financial losses through inflated acquisitions and sham payments, motivated by fear of shareholder backlash.
- WorldCom capitalised on operating expenses to falsely inflate profits, attempting to sustain investor confidence during a market downturn.
- Satyam overstated assets and revenues to maintain stock prices and hide underperformance.
- Lehman Brothers used Repo 105 transactions to move liabilities off its balance sheet, concealing its actual leverage.
The financial ratio analysis of the study yielded mixed results. Leverage ratios, although often highlighted in the literature as red flags, were unreliable predictors in this study. Fraudulent companies actively concealed leverage (e.g. Enron and WorldCom), while high leverage in Lehman Brothers was industry-typical.
The profitability ratios showed some value. Enron, Olympus, WorldCom, and Lehman Brothers had poor profitability despite positive market sentiment, suggesting a mismatch between perceived and actual performance. Satyam maintained high profitability by smoothing earnings to artificially maintain growth.
The asset composition ratios were inconsistent. Although changes in asset profiles were observed, they were not always due to inventories or receivables, but to broader shifts in current vs. non-current asset balances. Satyam and Enron manipulated current assets, highlighting susceptibility to management manipulation.
Liquidity ratios were not strong indicators. Fraudulent companies often maintained normal or above-normal liquidity positions to disguise weaknesses. For example, Satyam showed excellent liquidity due to overstated current assets, while Olympus had poor liquidity for decades without detection.
One of the main limitations of this study was that three of the five selected companies, Enron, Lehman Brothers, and WorldCom, had a negligible inventory. As a result, certain inventory-based financial ratios (Inventory/Total Assets, Inventory/Current Assets and Quick Acid Test) were not calculated, or excluded due to insignificance. This limited the ability to draw firm conclusions on the role of inventory ratios in the detection of FFR, according to previous findings by Persons.
Another limitation was the use of different accounting frameworks across the companies: Enron, WorldCom, and Lehman Brothers followed US Generally Accepted Accounting Principles; Satyam used International Framework on Reporting Standards; and Olympus followed Japanese Generally Accepted Accounting Principles. While these differences may influence the way figures are reported, the study did not compare companies directly, thus minimising the impact of this variable.
The companies also operated during different time periods, which means their economic contexts varied. For instance, the 2008 global financial crisis impacted Satyam and Lehman Brothers, the strengthening of the yen affected Olympus, and the dot-com bubble collapse influenced WorldCom. These differences could have affected the performance metrics under review and should be explored further in future research.
FFR has a detrimental impact on global markets, investor trust, and corporate survival. This study assessed the effectiveness of financial ratio analysis in detecting FFR and found its ability to be limited. The complexity of transactions and high-level financial consolidations obscures red flags at the financial statement level. However, ratio analysis can help auditors identify areas that need further scrutiny.
With the increasing advancement of technologies such as artificial intelligence, machine learning, and data analytics, the detection of FFR may soon become proactive. Future research may be valuable in prioritising the demand for innovative detection systems and ethics-focussed training programmes to strengthen the broader commitment within the corporate sector to financial integrity and accountability.
Keywords: analytical procedures; auditing; corporate fraud scandals; financial ratio analysis; fraud; fraud detection technique; fraudulent financial reporting
- This article’s featured image was created by Mikhail Nilov and obtained from Pexels.