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 |
Apr24 |
Jul24 |
Oct24 |
| Beneish M-Score |
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-2.76 |
-2.65 |
-2.63 |
-2.59 |
-2.68 |
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 * 1.1646 | + | 0.528 * 0.9634 | + | 0.404 * 1.0479 | + | 0.892 * 1.4249 | + | 0.115 * 0.6916 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9222 | + | 4.679 * -0.109251 | - | 0.327 * 1.1076 |
| = | -2.52 |
* 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 (Oct24) TTM: | Last Year (Oct23) TTM: |
Total Receivables was MXN3,580 Mil.
Revenue was 6449.73 + 5583.007 + 4790.365 + 4745.337 = MXN21,568 Mil.
Gross Profit was 4926.803 + 4218.601 + 3619.334 + 3559.767 = MXN16,325 Mil.
Total Current Assets was MXN20,821 Mil.
Total Assets was MXN37,336 Mil.
Property, Plant and Equipment(Net PPE) was MXN2,517 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN378 Mil.
Selling, General, & Admin. Expense(SGA) was MXN14,872 Mil.
Total Current Liabilities was MXN13,103 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,361 Mil.
Net Income was -757.307 + -922.622 + -960.527 + -1947.283 = MXN-4,588 Mil.
Non Operating Income was -72.293 + 0 + 0 + -1179.404 = MXN-1,252 Mil.
Cash Flow from Operations was 721.391 + 336.931 + 403.91 + -719.305 = MXN743 Mil.
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Total Receivables was MXN2,157 Mil.
Revenue was 4288.201 + 3665.604 + 3675.206 + 3507.274 = MXN15,136 Mil.
Gross Profit was 3176.407 + 2681.465 + 2639.899 + 2538.651 = MXN11,036 Mil.
Total Current Assets was MXN16,986 Mil.
Total Assets was MXN30,444 Mil.
Property, Plant and Equipment(Net PPE) was MXN2,566 Mil.
Depreciation, Depletion and Amortization(DDA) was MXN255 Mil.
Selling, General, & Admin. Expense(SGA) was MXN11,317 Mil.
Total Current Liabilities was MXN9,144 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,505 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) |
| = | (3580.072 / 21568.439) | / | (2157.315 / 15136.285) |
| = | 0.165987 | / | 0.142526 |
| | = | 1.1646 |
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) |
| = | (11036.422 / 15136.285) | / | (16324.505 / 21568.439) |
| = | 0.729137 | / | 0.75687 |
| | = | 0.9634 |
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 - (20820.938 + 2516.605) / 37335.885) | / | (1 - (16985.761 + 2565.801) / 30444.11) |
| = | 0.37493 | / | 0.357788 |
| | = | 1.0479 |
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 |
| = | 21568.439 | / | 15136.285 |
| | = | 1.4249 |
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)) |
| = | (254.749 / (254.749 + 2565.801)) | / | (378.04 / (378.04 + 2516.605)) |
| = | 0.090319 | / | 0.1306 |
| | = | 0.6916 |
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) |
| = | (14871.967 / 21568.439) | / | (11317.248 / 15136.285) |
| = | 0.689524 | / | 0.74769 |
| | = | 0.9222 |
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) |
| = | ((1361.214 + 13102.939) / 37335.885) | / | ((1504.573 + 9143.538) / 30444.11) |
| = | 0.387406 | / | 0.349759 |
| | = | 1.1076 |
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 |
| = | (-4587.739 - -1251.697 | - | 742.927) | / | 37335.885 |
| | = | -0.109251 |
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 -2.52 suggests that the company is unlikely to be a manipulator.
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