Forensic Accounting & Fraud Detection Lab

Beneish M-Score Calculator & Earnings Manipulation Lab

Detect accounting irregularities and financial statement manipulation using Professor Messod Beneish's acclaimed 8-variable econometric M-Score model. Audit accrual distortion, aggressive receivables, and asset quality capitalization.

Launch M-Score Lab Piotroski F-Score Lab Altman Z-Score Lab DuPont Analysis Lab
Critical Threshold
M-Score > -1.78
Values greater than -1.78 indicate an elevated statistical probability of financial manipulation.

Forensic Accounting Presets

Select an institutional corporate profile to load audited vs. manipulated accounting statements.

1. Accounting Statement Inputs ($ Millions)

Current Year (t)
Prior Year (t-1)
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2. M-Score Verdict & 8 Forensic Ratios

Beneish M-Score (8-Variable Model)
-2.65
LOW PROBABILITY OF MANIPULATION (CLEAN)
Statistical Manipulation Probability: 0.4%
Score is below threshold of -1.78. Unlikely to be manipulating earnings.

8 Econometric Index Breakdown

1. DSRI: Days' Sales in Receivables Index (0.920)
Ratio: 0.958 | Contrib: +0.881
Normal
2. GMI: Gross Margin Index (0.528)
Ratio: 0.978 | Contrib: +0.516
Normal
3. AQI: Asset Quality Index (0.404)
Ratio: 0.697 | Contrib: +0.282
Normal
4. SGI: Sales Growth Index (0.892)
Ratio: 1.087 | Contrib: +0.970
Normal
5. DEPI: Depreciation Rate Index (0.115)
Ratio: 0.978 | Contrib: +0.112
Normal
6. SGAI: SG&A Expense Index (-0.172)
Ratio: 0.974 | Contrib: -0.168
Normal
7. LVGI: Leverage Index (0.0327)
Ratio: 0.901 | Contrib: +0.029
Normal
8. TATA: Total Accruals to Total Assets (4.037)
Ratio: -0.030 | Contrib: -0.121
Normal

Forensic Stress Testing & Sensitivity Matrices

Simulate how aggressive changes in accrual quality, accounts receivable, sales growth, and asset quality affect the final M-Score.

Matrix 1: Total Accruals (TATA) vs. Receivables Growth (DSRI)

The two most powerful forensic indicators of premature revenue recognition and non-cash earnings.

Matrix 2: Asset Quality Index (AQI) vs. Sales Growth (SGI)

Examines capitalization of operating expenses during periods of aggressive top-line expansion.

Forensic Accounting & Earnings Quality Principles

The Academic Foundation

In his 1999 study The Detection of Earnings Manipulation, Professor Messod Beneish calibrated this probit model against known fraud violators targeted by SEC accounting enforcement actions. The model reliably flags companies that manipulate financial reports with an empirical accuracy rate above 76%.

Why DSRI and TATA Matter Most

Receivables Index (DSRI) and Total Accruals (TATA) carry the largest regression coefficients (+0.920 and +4.037). When receivables outpace sales, or net income outpaces cash from operations, it almost always signals aggressive channel stuffing or fabricated bookings unbacked by cash collections.

Frequently Asked Questions

The Beneish M-Score is an 8-variable mathematical model developed by Professor Messod Beneish in 1999 to evaluate the likelihood that a company has manipulated its reported earnings. It uses financial statement line items across consecutive years to calculate forensic indices measuring revenue recognition, margin changes, asset quality capitalization, and accruals.

The 8 variables are: 1. Days' Sales in Receivables Index (DSRI); 2. Gross Margin Index (GMI); 3. Asset Quality Index (AQI); 4. Sales Growth Index (SGI); 5. Depreciation Index (DEPI); 6. Sales, General and Administrative Expenses Index (SGAI); 7. Leverage Index (LVGI); and 8. Total Accruals to Total Assets (TATA).

The standard threshold is -1.78. If a company's Beneish M-Score is greater than -1.78 (e.g. -1.45, -0.90, or positive values), the model flags a high probability of earnings manipulation. If the score is less than -1.78 (e.g. -2.25 or -2.80), the company is classified as an unlikely manipulator.

In 1998, undergraduate students at Cornell University used the Beneish M-Score model to analyze Enron's financial filings. Enron produced a severe red flag M-Score of -0.85 (far above the -1.78 danger threshold), correctly identifying systemic earnings manipulation and aggressive mark-to-market accruals years before Enron's bankruptcy in 2001.

Yes. You can export complete two-year financial inputs, all 8 intermediate forensic indices, regression weight contributions, manipulation probabilities, and sensitivity matrices as a UTF-8 CSV spreadsheet with formula defense.
Fundamental Quality

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Simulation Hub

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