Morgan Stanley Beneish M-Score Calculation
The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.
The M-Score Variables:
The M-score of Morgan Stanley for today is based on a combination of the following eight different indices:
| M | = | -4.84 | + | 0.92 * DSRI | + | 0.528 * GMI | + | 0.404 * AQI | + | 0.892 * SGI | + | 0.115 * DEPI |
| = | -4.84 | + | 0.92 * 0.9458 | + | 0.528 * 1 | + | 0.404 * 1 | + | 0.892 * 1.1372 | + | 0.115 * 0.9991 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9508 | + | 4.679 * 0.009899 | - | 0.327 * 1.0607 |
| = | -2.37 |
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
| This Year (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was $86,158 Mil.
Revenue was 15043 + 14339 + 14024 + 14215 = $57,621 Mil.
Gross Profit was 15043 + 14339 + 14024 + 14215 = $57,621 Mil.
Total Current Assets was $0 Mil.
Total Assets was $1,215,071 Mil.
Property, Plant and Equipment(Net PPE) was $23 Mil.
Depreciation, Depletion and Amortization(DDA) was $5,161 Mil.
Selling, General, & Admin. Expense(SGA) was $27,143 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $288,776 Mil.
Net Income was 3714 + 3188 + 3076 + 3412 = $13,390 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 11800 + -17323 + 2525 + 4360 = $1,362 Mil.
|
Total Receivables was $80,105 Mil.
Revenue was 12031 + 12418 + 12582 + 13636 = $50,667 Mil.
Gross Profit was 12031 + 12418 + 12582 + 13636 = $50,667 Mil.
Total Current Assets was $0 Mil.
Total Assets was $1,193,693 Mil.
Property, Plant and Equipment(Net PPE) was $23 Mil.
Depreciation, Depletion and Amortization(DDA) was $4,256 Mil.
Selling, General, & Admin. Expense(SGA) was $25,103 Mil.
Total Current Liabilities was $0 Mil.
Long-Term Debt & Capital Lease Obligation was $267,467 Mil.
|
1. DSRI = Days Sales in Receivables Index
Measured as the ratio of Revenue in Total Receivables in year t to year t-1.
A large increase in DSR could be indicative of revenue inflation.
| DSRI | = | (Receivables_t / Revenue_t) | / | (Receivables_t-1 / Revenue_t-1) |
| = | (86158 / 57621) | / | (80105 / 50667) |
| = | 1.495253 | / | 1.581009 |
| | = | 0.9458 |
2. GMI = Gross Margin Index
Measured as the ratio of gross margin in year t-1 to gross margin in year t.
Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.
| GMI | = | GrossMargin_t-1 | / | GrossMargin_t |
| = | (GrossProfit_t-1 / Revenue_t-1) | / | (GrossProfit_t / Revenue_t) |
| = | (50667 / 50667) | / | (57621 / 57621) |
| = | 1 | / | 1 |
| | = | 1 |
3. AQI = Asset Quality Index
AQI is the ratio of asset quality in year t to year t-1.
Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.
| AQI | = | (1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) | / | (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1) |
| = | (1 - (0 + 23) / 1215071) | / | (1 - (0 + 23) / 1193693) |
| = | 0.999981 | / | 0.999981 |
| | = | 1 |
4. SGI = Sales Growth Index
Ratio of Revenue in year t to sales in year t-1.
Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.
| SGI | = | Sales_t | / | Sales_t-1 |
| = | Revenue_t | / | Revenue_t-1 |
| = | 57621 | / | 50667 |
| | = | 1.1372 |
5. DEPI = Depreciation Index
Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.
DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.
| DEPI | = | (Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) | / | (Depreciation_t / (Depreciaton_t + PPE_t)) |
| = | (4256 / (4256 + 23)) | / | (5161 / (5161 + 23)) |
| = | 0.994625 | / | 0.995563 |
| | = | 0.9991 |
Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.
6. SGAI = Sales, General and Administrative expenses Index
The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.
SGA expenses index > 1 means that the company is becoming less efficient in generate sales.
| SGAI | = | (SGA_t / Sales_t) | / | (SGA_t-1 /Sales_t-1) |
| = | (27143 / 57621) | / | (25103 / 50667) |
| = | 0.471061 | / | 0.495451 |
| | = | 0.9508 |
7. LVGI = Leverage Index
The ratio of total debt to Total Assets in year t relative to yeat t-1.
An LVGI > 1 indicates an increase in leverage
| LVGI | = | ((LTD_t + CurrentLiabilities_t) / TotalAssets_t) | / | ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1) |
| = | ((288776 + 0) / 1215071) | / | ((267467 + 0) / 1193693) |
| = | 0.237662 | / | 0.224067 |
| | = | 1.0607 |
8. TATA = Total Accruals to Total Assets
Total accruals calculated as the change in working capital accounts other than cash less depreciation.
| TATA | = | (IncomefromContinuingOperations_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (NetIncome_t - NonOperatingIncome_t | - | CashFlowsfromOperations_t) | / | TotalAssets_t |
| = | (13390 - 0 | - | 1362) | / | 1215071 |
| | = | 0.009899 |
An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.
Morgan Stanley has a M-score of -2.37 suggests that the company is unlikely to be a manipulator.
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