Excelpoint Technology Beneish M-Score Historical Data
The historical data trend for Excelpoint 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.
Excelpoint Technology Beneish M-Score Chart
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Excelpoint Technology Annual Data
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Trend |
Dec12 |
Dec13 |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
| Beneish M-Score |
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-1.96 |
-2.46 |
-3.20 |
-2.85 |
-2.07 |
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Excelpoint Technology Semi-Annual Data
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Dec12 |
Jun13 |
Dec13 |
Jun14 |
Dec14 |
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Dec15 |
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Dec16 |
Jun17 |
Dec17 |
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Jun19 |
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Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
| Beneish M-Score |
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-2.74 |
-2.85 |
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-2.07 |
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Competitive Comparison of Excelpoint Technology's Beneish M-Score
For the Electronics & Computer Distribution subindustry, Excelpoint 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.
Excelpoint Technology's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Excelpoint Technology's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Excelpoint Technology's Beneish M-Score falls into.
Excelpoint 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 Excelpoint 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 * 0.8681 | + | 0.528 * 0.8537 | + | 0.404 * 0.966 | + | 0.892 * 1.4754 | + | 0.115 * 1.0779 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0298 | + | 4.679 * 0.040495 | - | 0.327 * 0.9853 |
| = | -2.07 |
* 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 (Dec21) TTM: | Last Year (Dec20) TTM: |
Total Receivables was S$277.73 Mil.
Revenue was S$2,179.35 Mil.
Gross Profit was S$138.82 Mil.
Total Current Assets was S$634.50 Mil.
Total Assets was S$654.04 Mil.
Property, Plant and Equipment(Net PPE) was S$13.18 Mil.
Depreciation, Depletion and Amortization(DDA) was S$4.55 Mil.
Selling, General, & Admin. Expense(SGA) was S$97.14 Mil.
Total Current Liabilities was S$488.83 Mil.
Long-Term Debt & Capital Lease Obligation was S$16.81 Mil.
Net Income was S$33.43 Mil.
Gross Profit was S$0.00 Mil.
Cash Flow from Operations was S$6.95 Mil.
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Total Receivables was S$216.85 Mil.
Revenue was S$1,477.15 Mil.
Gross Profit was S$80.32 Mil.
Total Current Assets was S$521.80 Mil.
Total Assets was S$540.18 Mil.
Property, Plant and Equipment(Net PPE) was S$12.94 Mil.
Depreciation, Depletion and Amortization(DDA) was S$4.95 Mil.
Selling, General, & Admin. Expense(SGA) was S$63.94 Mil.
Total Current Liabilities was S$412.76 Mil.
Long-Term Debt & Capital Lease Obligation was S$11.07 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) |
| = | (277.733 / 2179.35) | / | (216.849 / 1477.149) |
| = | 0.127438 | / | 0.146802 |
| | = | 0.8681 |
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) |
| = | (80.32 / 1477.149) | / | (138.819 / 2179.35) |
| = | 0.054375 | / | 0.063697 |
| | = | 0.8537 |
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 - (634.5 + 13.183) / 654.039) | / | (1 - (521.797 + 12.944) / 540.175) |
| = | 0.009718 | / | 0.01006 |
| | = | 0.966 |
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 |
| = | 2179.35 | / | 1477.149 |
| | = | 1.4754 |
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)) |
| = | (4.951 / (4.951 + 12.944)) | / | (4.552 / (4.552 + 13.183)) |
| = | 0.276669 | / | 0.256668 |
| | = | 1.0779 |
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) |
| = | (97.141 / 2179.35) | / | (63.938 / 1477.149) |
| = | 0.044573 | / | 0.043285 |
| | = | 1.0298 |
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) |
| = | ((16.808 + 488.832) / 654.039) | / | ((11.072 + 412.764) / 540.175) |
| = | 0.773104 | / | 0.784627 |
| | = | 0.9853 |
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 |
| = | (33.433 - 0 | - | 6.948) | / | 654.039 |
| | = | 0.040495 |
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.
Excelpoint Technology has a M-score of -2.07 suggests that the company is unlikely to be a manipulator.
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