SigmaStar Technology Beneish M-Score Historical Data
The historical data trend for SigmaStar Technology'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.
SigmaStar Technology Beneish M-Score Chart
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SigmaStar Technology Annual Data
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SigmaStar Technology Quarterly Data
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Competitive Comparison of SigmaStar Technology's Beneish M-Score
For the Semiconductors subindustry, SigmaStar Technology'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.
SigmaStar Technology's Beneish M-Score Distribution in the Semiconductors Industry
For the Semiconductors industry and Technology sector, SigmaStar Technology's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where SigmaStar Technology's Beneish M-Score falls into.
SigmaStar Technology 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 SigmaStar Technology 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 * | + | 0.528 * | + | 0.404 * | + | 0.892 * | + | 0.115 * |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * | + | 4.679 * | - | 0.327 * |
| = | |
* 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 (Mar24) TTM: | Last Year (Dec22) TTM: |
Total Receivables was ¥182 Mil.
Revenue was 526.617 + 0 + 549.357 + 436.87 = ¥1,513 Mil.
Gross Profit was 191.727 + 0 + 185.674 + 151.18 = ¥529 Mil.
Total Current Assets was ¥2,230 Mil.
Total Assets was ¥3,998 Mil.
Property, Plant and Equipment(Net PPE) was ¥311 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥54 Mil.
Total Current Liabilities was ¥757 Mil.
Long-Term Debt & Capital Lease Obligation was ¥349 Mil.
Net Income was 50.934 + 0 + 69.734 + 46.72 = ¥167 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ¥0 Mil.
Cash Flow from Operations was 89.742 + 0 + 242.22 + 33.228 = ¥365 Mil.
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Total Receivables was ¥102 Mil.
Revenue was 0 + 0 + 0 + 0 = ¥0 Mil.
Gross Profit was 0 + 0 + 0 + 0 = ¥0 Mil.
Total Current Assets was ¥1,836 Mil.
Total Assets was ¥2,432 Mil.
Property, Plant and Equipment(Net PPE) was ¥178 Mil.
Depreciation, Depletion and Amortization(DDA) was ¥0 Mil.
Selling, General, & Admin. Expense(SGA) was ¥0 Mil.
Total Current Liabilities was ¥458 Mil.
Long-Term Debt & Capital Lease Obligation was ¥31 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) |
| = | (182.192 / 1512.844) | / | (101.734 / 0) |
| = | 0.12043 | / | |
| | = | |
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) |
| = | (0 / 0) | / | (528.581 / 1512.844) |
| = | | / | 0.349396 |
| | = | |
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 - (2229.927 + 311.077) / 3997.93) | / | (1 - (1836.056 + 177.926) / 2432.418) |
| = | 0.36442 | / | 0.172025 |
| | = | |
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 |
| = | 1512.844 | / | 0 |
| | = | |
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)) |
| = | (0 / (0 + 177.926)) | / | (0 / (0 + 311.077)) |
| = | 0 | / | 0 |
| | = | |
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) |
| = | (54.222 / 1512.844) | / | (0 / 0) |
| = | 0.035841 | / | |
| | = | |
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) |
| = | ((349.206 + 756.559) / 3997.93) | / | ((31.353 + 458.126) / 2432.418) |
| = | 0.276584 | / | 0.201231 |
| | = | |
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 |
| = | (167.388 - 0 | - | 365.19) | / | 3997.93 |
| | = | -0.049476 |
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.
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