Samsara Beneish M-Score Historical Data
The historical data trend for Samsara'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.
Samsara Beneish M-Score Chart
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Samsara Annual Data
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Trend |
Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
| Beneish M-Score |
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- |
- |
- |
-2.23 |
-2.65 |
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Samsara Quarterly Data
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Jan20 |
Oct20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
Oct22 |
Jan23 |
Apr23 |
Jul23 |
Oct23 |
Jan24 |
| Beneish M-Score |
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-2.23 |
-2.60 |
-2.56 |
-2.76 |
-2.65 |
Competitive Comparison of Samsara's Beneish M-Score
For the Software - Infrastructure subindustry, Samsara'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.
Samsara's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Samsara's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Samsara's Beneish M-Score falls into.
Samsara 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 Samsara 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 * 0.9169 | + | 0.528 * 0.9778 | + | 0.404 * 1.3591 | + | 0.892 * 1.4365 | + | 0.115 * 0.6292 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8774 | + | 4.679 * -0.116139 | - | 0.327 * 1.1511 |
| = | -2.65 |
* 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 $161.8 Mil.
Revenue was 276.274 + 237.534 + 219.257 + 204.32 = $937.4 Mil.
Gross Profit was 207.25 + 175.949 + 160.391 + 146.763 = $690.4 Mil.
Total Current Assets was $887.0 Mil.
Total Assets was $1,734.8 Mil.
Property, Plant and Equipment(Net PPE) was $136.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $15.5 Mil.
Selling, General, & Admin. Expense(SGA) was $681.7 Mil.
Total Current Liabilities was $591.8 Mil.
Long-Term Debt & Capital Lease Obligation was $78.8 Mil.
Net Income was -113.371 + -45.531 + -59.968 + -67.856 = $-286.7 Mil.
Non Operating Income was -68.665 + -4.762 + 0 + 0 = $-73.4 Mil.
Cash Flow from Operations was -41.878 + 11.889 + 7.72 + 10.454 = $-11.8 Mil.
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Total Receivables was $122.9 Mil.
Revenue was 186.577 + 169.8 + 153.523 + 142.645 = $652.5 Mil.
Gross Profit was 135.049 + 122.547 + 109.266 + 103.027 = $469.9 Mil.
Total Current Assets was $957.5 Mil.
Total Assets was $1,617.0 Mil.
Property, Plant and Equipment(Net PPE) was $171.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $11.8 Mil.
Selling, General, & Admin. Expense(SGA) was $540.9 Mil.
Total Current Liabilities was $442.2 Mil.
Long-Term Debt & Capital Lease Obligation was $100.9 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) |
| = | (161.829 / 937.385) | / | (122.867 / 652.545) |
| = | 0.172639 | / | 0.188289 |
| | = | 0.9169 |
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) |
| = | (469.889 / 652.545) | / | (690.353 / 937.385) |
| = | 0.720087 | / | 0.736467 |
| | = | 0.9778 |
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 - (886.958 + 136.943) / 1734.845) | / | (1 - (957.535 + 171.902) / 1617.008) |
| = | 0.409803 | / | 0.301527 |
| | = | 1.3591 |
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 |
| = | 937.385 | / | 652.545 |
| | = | 1.4365 |
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)) |
| = | (11.768 / (11.768 + 171.902)) | / | (15.526 / (15.526 + 136.943)) |
| = | 0.064071 | / | 0.101831 |
| | = | 0.6292 |
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) |
| = | (681.692 / 937.385) | / | (540.883 / 652.545) |
| = | 0.727227 | / | 0.828882 |
| | = | 0.8774 |
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) |
| = | ((78.83 + 591.816) / 1734.845) | / | ((100.873 + 442.158) / 1617.008) |
| = | 0.386574 | / | 0.335825 |
| | = | 1.1511 |
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 |
| = | (-286.726 - -73.427 | - | -11.815) | / | 1734.845 |
| | = | -0.116139 |
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.
Samsara has a M-score of -2.65 suggests that the company is unlikely to be a manipulator.
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