Sigmatron International Beneish M-Score Historical Data
The historical data trend for Sigmatron International'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.
Sigmatron International Beneish M-Score Chart
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Sigmatron International Annual Data
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| Beneish M-Score |
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-2.36 |
-2.94 |
-2.44 |
-0.86 |
-2.19 |
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Sigmatron International Quarterly Data
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| Beneish M-Score |
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-2.34 |
-2.19 |
-2.81 |
-3.04 |
-1.99 |
Competitive Comparison of Sigmatron International's Beneish M-Score
For the Electronic Components subindustry, Sigmatron International'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.
Sigmatron International's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Sigmatron International's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Sigmatron International's Beneish M-Score falls into.
Sigmatron International 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 Sigmatron International 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 * 1.0852 | + | 0.528 * 1.0344 | + | 0.404 * 1.4414 | + | 0.892 * 0.9906 | + | 0.115 * 0.9736 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1133 | + | 4.679 * 0.048674 | - | 0.327 * 0.9477 |
| = | -1.99 |
* 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.
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) |
| = | (53.007 / 401.03) | / | (49.31 / 404.826) |
| = | 0.132177 | / | 0.121805 |
| | = | 1.0852 |
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) |
| = | (46.65 / 404.826) | / | (44.675 / 401.03) |
| = | 0.115235 | / | 0.111401 |
| | = | 1.0344 |
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 - (194.482 + 43.643) / 243.541) | / | (1 - (229.589 + 43.337) / 277.203) |
| = | 0.022239 | / | 0.015429 |
| | = | 1.4414 |
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 |
| = | 401.03 | / | 404.826 |
| | = | 0.9906 |
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)) |
| = | (6.075 / (6.075 + 43.337)) | / | (6.308 / (6.308 + 43.643)) |
| = | 0.122946 | / | 0.126284 |
| | = | 0.9736 |
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) |
| = | (27.241 / 401.03) | / | (24.701 / 404.826) |
| = | 0.067928 | / | 0.061016 |
| | = | 1.1133 |
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) |
| = | ((88.498 + 85.187) / 243.541) | / | ((10.182 + 198.409) / 277.203) |
| = | 0.713165 | / | 0.752485 |
| | = | 0.9477 |
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 |
| = | (1.143 - 0.092 | - | -10.803) | / | 243.541 |
| | = | 0.048674 |
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.
Sigmatron International has a M-score of -1.99 suggests that the company is unlikely to be a manipulator.
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