SentinelOne Beneish M-Score Historical Data
The historical data trend for SentinelOne'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.
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SentinelOne Annual Data
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Trend |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
|
- |
- |
-1.24 |
-0.16 |
-2.83 |
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SentinelOne Quarterly Data
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Jan20 |
Apr20 |
Jul20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
| Beneish M-Score |
|
|
|
|
|
|
|
|
|
|
|
|
-0.16 |
-0.60 |
-2.72 |
-2.98 |
-2.83 |
Competitive Comparison
For the Software - Infrastructure subindustry, SentinelOne'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.
SentinelOne Beneish M-Score Distribution
For the Software industry and Technology sector, SentinelOne's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SentinelOne's Beneish M-Score falls into.
SentinelOne 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 SentinelOne 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 * 0.9616 | + | 0.528 * 0.9257 | + | 0.404 * 0.7263 | + | 0.892 * 1.4713 | + | 0.115 * 0.8815 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8545 | + | 4.679 * -0.113953 | - | 0.327 * 1.1925 |
| = | -2.83 |
* 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 $214.3 Mil.
Revenue was 174.175 + 164.165 + 149.421 + 133.393 = $621.2 Mil.
Gross Profit was 125.909 + 120.4 + 104.754 + 90.81 = $441.9 Mil.
Total Current Assets was $1,297.3 Mil.
Total Assets was $2,321.4 Mil.
Property, Plant and Equipment(Net PPE) was $67.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $38.9 Mil.
Selling, General, & Admin. Expense(SGA) was $595.4 Mil.
Total Current Liabilities was $590.1 Mil.
Long-Term Debt & Capital Lease Obligation was $18.2 Mil.
Net Income was -71.982 + -70.304 + -89.538 + -106.869 = $-338.7 Mil.
Non Operating Income was -3.114 + 0.531 + -2.846 + -0.359 = $-5.8 Mil.
Cash Flow from Operations was -6.182 + -22.23 + -11.903 + -28.059 = $-68.4 Mil.
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Total Receivables was $151.5 Mil.
Revenue was 126.096 + 115.323 + 102.505 + 78.255 = $422.2 Mil.
Gross Profit was 86.325 + 74.317 + 66.244 + 51.116 = $278.0 Mil.
Total Current Assets was $914.7 Mil.
Total Assets was $2,258.9 Mil.
Property, Plant and Equipment(Net PPE) was $62.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $29.7 Mil.
Selling, General, & Admin. Expense(SGA) was $473.6 Mil.
Total Current Liabilities was $473.3 Mil.
Long-Term Debt & Capital Lease Obligation was $23.1 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) |
| = | (214.322 / 621.154) | / | (151.492 / 422.179) |
| = | 0.345038 | / | 0.358834 |
| | = | 0.9616 |
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) |
| = | (278.002 / 422.179) | / | (441.873 / 621.154) |
| = | 0.658493 | / | 0.711374 |
| | = | 0.9257 |
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 - (1297.331 + 67.291) / 2321.407) | / | (1 - (914.733 + 62.305) / 2258.913) |
| = | 0.412157 | / | 0.567474 |
| | = | 0.7263 |
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 |
| = | 621.154 | / | 422.179 |
| | = | 1.4713 |
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)) |
| = | (29.721 / (29.721 + 62.305)) | / | (38.912 / (38.912 + 67.291)) |
| = | 0.322963 | / | 0.366393 |
| | = | 0.8815 |
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) |
| = | (595.407 / 621.154) | / | (473.57 / 422.179) |
| = | 0.95855 | / | 1.121728 |
| | = | 0.8545 |
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) |
| = | ((18.239 + 590.067) / 2321.407) | / | ((23.079 + 473.279) / 2258.913) |
| = | 0.262042 | / | 0.219733 |
| | = | 1.1925 |
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 |
| = | (-338.693 - -5.788 | - | -68.374) | / | 2321.407 |
| | = | -0.113953 |
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.
SentinelOne has a M-score of -2.83 suggests that the company is unlikely to be a manipulator.
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