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.
SentinelOne Beneish M-Score Chart
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SentinelOne Annual Data
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Trend |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
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- |
- |
-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 |
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-0.16 |
-0.60 |
-2.72 |
-2.98 |
-2.83 |
Competitive Comparison of SentinelOne's Beneish M-Score
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's Beneish M-Score Distribution in the Software Industry
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 * 0.9964 | + | 0.528 * 0.9246 | + | 0.404 * 0.7263 | + | 0.892 * 1.4046 | + | 0.115 * 0.9072 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.854 | + | 4.679 * -0.113902 | - | 0.327 * 1.1925 |
| = | -2.85 |
* 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 €196.7 Mil.
Revenue was 159.893 + 155.464 + 135.077 + 121.654 = €572.1 Mil.
Gross Profit was 115.584 + 114.019 + 94.698 + 82.819 = €407.1 Mil.
Total Current Assets was €1,191.0 Mil.
Total Assets was €2,131.1 Mil.
Property, Plant and Equipment(Net PPE) was €61.8 Mil.
Depreciation, Depletion and Amortization(DDA) was €35.8 Mil.
Selling, General, & Admin. Expense(SGA) was €548.0 Mil.
Total Current Liabilities was €541.7 Mil.
Long-Term Debt & Capital Lease Obligation was €16.7 Mil.
Net Income was -66.079 + -66.578 + -80.942 + -97.465 = €-311.1 Mil.
Non Operating Income was -2.859 + 0.503 + -2.573 + -0.327 = €-5.3 Mil.
Cash Flow from Operations was -5.675 + -21.052 + -10.76 + -25.59 = €-63.1 Mil.
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Total Receivables was €140.6 Mil.
Revenue was 117.017 + 117.053 + 100.762 + 72.464 = €407.3 Mil.
Gross Profit was 80.11 + 75.432 + 65.118 + 47.333 = €268.0 Mil.
Total Current Assets was €848.9 Mil.
Total Assets was €2,096.3 Mil.
Property, Plant and Equipment(Net PPE) was €57.8 Mil.
Depreciation, Depletion and Amortization(DDA) was €28.9 Mil.
Selling, General, & Admin. Expense(SGA) was €456.8 Mil.
Total Current Liabilities was €439.2 Mil.
Long-Term Debt & Capital Lease Obligation was €21.4 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) |
| = | (196.748 / 572.088) | / | (140.585 / 407.296) |
| = | 0.343912 | / | 0.345167 |
| | = | 0.9964 |
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) |
| = | (267.993 / 407.296) | / | (407.12 / 572.088) |
| = | 0.657981 | / | 0.711639 |
| | = | 0.9246 |
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 - (1190.95 + 61.773) / 2131.052) | / | (1 - (848.872 + 57.819) / 2096.271) |
| = | 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 |
| = | 572.088 | / | 407.296 |
| | = | 1.4046 |
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)) |
| = | (28.864 / (28.864 + 57.819)) | / | (35.821 / (35.821 + 61.773)) |
| = | 0.332983 | / | 0.367041 |
| | = | 0.9072 |
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) |
| = | (547.959 / 572.088) | / | (456.826 / 407.296) |
| = | 0.957823 | / | 1.121607 |
| | = | 0.854 |
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) |
| = | ((16.743 + 541.682) / 2131.052) | / | ((21.417 + 439.203) / 2096.271) |
| = | 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 |
| = | (-311.064 - -5.256 | - | -63.077) | / | 2131.052 |
| | = | -0.113902 |
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 -2.85 suggests that the company is unlikely to be a manipulator.
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