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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Jan20 |
Jan21 |
Jan22 |
Jan23 |
Jan24 |
Jan25 |
| Beneish M-Score |
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- |
- |
-2.23 |
-2.64 |
-2.85 |
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Samsara Quarterly Data
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Jan20 |
Jan21 |
Apr21 |
Jul21 |
Oct21 |
Jan22 |
Apr22 |
Jul22 |
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Jul24 |
Oct24 |
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Apr25 |
| Beneish M-Score |
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-2.63 |
-2.59 |
-2.68 |
-2.85 |
-2.72 |
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 * 1.1466 | + | 0.528 * 0.9733 | + | 0.404 * 1.0211 | + | 0.892 * 1.5074 | + | 0.115 * 0.6417 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9054 | + | 4.679 * -0.134056 | - | 0.327 * 1.0114 |
| = | -2.55 |
* 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 (Apr25) TTM: | Last Year (Apr24) TTM: |
Total Receivables was MXN4,241 Mil.
Revenue was 7187.771 + 7143.616 + 6449.73 + 5583.007 = MXN26,364 Mil.
Gross Profit was 5558.374 + 5487.025 + 4926.803 + 4218.601 = MXN20,191 Mil.
Total Current Assets was MXN22,195 Mil.
Total Assets was MXN40,625 Mil.
Property, Plant and Equipment(Net PPE) was MXN2,011 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN421 Mil.
Selling, General, & Admin. Expense(SGA) was MXN17,048 Mil.
Total Current Liabilities was MXN14,520 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,331 Mil.
Net Income was -433.381 + -231.086 + -757.307 + -922.622 = MXN-2,344 Mil.
Non Operating Income was 0 + -26.178 + -72.293 + 0 = MXN-98 Mil.
Cash Flow from Operations was 1030.743 + 1111.057 + 721.391 + 336.931 = MXN3,200 Mil.
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Total Receivables was MXN2,454 Mil.
Revenue was 4790.365 + 4745.337 + 4288.201 + 3665.604 = MXN17,490 Mil.
Gross Profit was 3619.334 + 3559.767 + 3176.407 + 2681.465 = MXN13,037 Mil.
Total Current Assets was MXN15,763 Mil.
Total Assets was MXN29,853 Mil.
Property, Plant and Equipment(Net PPE) was MXN2,274 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN284 Mil.
Selling, General, & Admin. Expense(SGA) was MXN12,492 Mil.
Total Current Liabilities was MXN10,261 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,256 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) |
| = | (4240.931 / 26364.124) | / | (2453.593 / 17489.507) |
| = | 0.16086 | / | 0.140289 |
| | = | 1.1466 |
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) |
| = | (13036.973 / 17489.507) | / | (20190.803 / 26364.124) |
| = | 0.745417 | / | 0.765844 |
| | = | 0.9733 |
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 - (22194.607 + 2011.038) / 40625.06) | / | (1 - (15762.748 + 2273.805) / 29852.675) |
| = | 0.40417 | / | 0.395815 |
| | = | 1.0211 |
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 |
| = | 26364.124 | / | 17489.507 |
| | = | 1.5074 |
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)) |
| = | (284.355 / (284.355 + 2273.805)) | / | (421.355 / (421.355 + 2011.038)) |
| = | 0.111156 | / | 0.173227 |
| | = | 0.6417 |
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) |
| = | (17047.878 / 26364.124) | / | (12491.529 / 17489.507) |
| = | 0.646632 | / | 0.71423 |
| | = | 0.9054 |
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) |
| = | ((1331.196 + 14520.284) / 40625.06) | / | ((1256.232 + 10260.618) / 29852.675) |
| = | 0.39019 | / | 0.38579 |
| | = | 1.0114 |
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 |
| = | (-2344.396 - -98.471 | - | 3200.122) | / | 40625.06 |
| | = | -0.134056 |
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 -2.55 suggests that the company is unlikely to be a manipulator.
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