Science Applications International Beneish M-Score Historical Data
The historical data trend for Science Applications International's Beneish M-Score can be seen below:
* 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.
Science Applications International Beneish M-Score Chart
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Science Applications International Annual Data
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Jan24 |
| Beneish M-Score |
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-2.69 |
-2.97 |
-2.58 |
-2.72 |
-2.63 |
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Science Applications International Quarterly Data
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Apr19 |
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Jan24 |
| Beneish M-Score |
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-2.72 |
-2.73 |
-2.54 |
-2.50 |
-2.63 |
Competitive Comparison of Science Applications International's Beneish M-Score
For the Information Technology Services subindustry, Science Applications International's Beneish M-Score, along with its competitors' market caps and Beneish M-Score data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
Science Applications International's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Science Applications International's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Science Applications International's Beneish M-Score falls into.
Science Applications International 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 Science Applications International 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 * 1.0106 | + | 0.528 * 0.984 | + | 0.404 * 1.0034 | + | 0.892 * 0.9663 | + | 0.115 * 1.0459 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0322 | + | 4.679 * -0.029545 | - | 0.327 * 0.9584 |
| = | -2.63 |
* 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 (Jan24) TTM: | Last Year (Jan23) TTM: |
Total Receivables was $914 Mil.
Revenue was 1737 + 1895 + 1784 + 2028 = $7,444 Mil.
Gross Profit was 192 + 229 + 216 + 235 = $872 Mil.
Total Current Assets was $1,131 Mil.
Total Assets was $5,314 Mil.
Property, Plant and Equipment(Net PPE) was $243 Mil.
Depreciation, Depletion and Amortization(DDA) was $142 Mil.
Selling, General, & Admin. Expense(SGA) was $373 Mil.
Total Current Liabilities was $1,158 Mil.
Long-Term Debt & Capital Lease Obligation was $2,169 Mil.
Net Income was 39 + 93 + 247 + 98 = $477 Mil.
Non Operating Income was 232 + 2 + 5 + -1 = $238 Mil.
Cash Flow from Operations was 63 + 101 + 150 + 82 = $396 Mil.
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Total Receivables was $936 Mil.
Revenue was 1968 + 1909 + 1831 + 1996 = $7,704 Mil.
Gross Profit was 222 + 221 + 219 + 226 = $888 Mil.
Total Current Assets was $1,197 Mil.
Total Assets was $5,543 Mil.
Property, Plant and Equipment(Net PPE) was $250 Mil.
Depreciation, Depletion and Amortization(DDA) was $157 Mil.
Selling, General, & Admin. Expense(SGA) was $374 Mil.
Total Current Liabilities was $1,126 Mil.
Long-Term Debt & Capital Lease Obligation was $2,495 Mil.
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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) |
| = | (914 / 7444) | / | (936 / 7704) |
| = | 0.122783 | / | 0.121495 |
| | = | 1.0106 |
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) |
| = | (888 / 7704) | / | (872 / 7444) |
| = | 0.115265 | / | 0.117141 |
| | = | 0.984 |
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 - (1131 + 243) / 5314) | / | (1 - (1197 + 250) / 5543) |
| = | 0.741438 | / | 0.73895 |
| | = | 1.0034 |
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 |
| = | 7444 | / | 7704 |
| | = | 0.9663 |
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)) |
| = | (157 / (157 + 250)) | / | (142 / (142 + 243)) |
| = | 0.385749 | / | 0.368831 |
| | = | 1.0459 |
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) |
| = | (373 / 7444) | / | (374 / 7704) |
| = | 0.050107 | / | 0.048546 |
| | = | 1.0322 |
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) |
| = | ((2169 + 1158) / 5314) | / | ((2495 + 1126) / 5543) |
| = | 0.626082 | / | 0.653256 |
| | = | 0.9584 |
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 |
| = | (477 - 238 | - | 396) | / | 5314 |
| | = | -0.029545 |
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.
Science Applications International has a M-score of -2.63 suggests that the company is unlikely to be a manipulator.
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