EF-ON Beneish M-Score Historical Data
The historical data trend for EF-ON'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.
EF-ON Beneish M-Score Chart
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EF-ON Annual Data
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Trend |
Jun14 |
Jun15 |
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Jun17 |
Jun18 |
Jun19 |
Jun20 |
Jun21 |
Jun22 |
Jun23 |
| Beneish M-Score |
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-2.75 |
-2.43 |
-2.70 |
-2.36 |
-2.10 |
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EF-ON Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
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Mar21 |
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Dec21 |
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Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.10 |
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Competitive Comparison of EF-ON's Beneish M-Score
For the Utilities - Renewable subindustry, EF-ON'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.
EF-ON's Beneish M-Score Distribution in the Utilities - Independent Power Producers Industry
For the Utilities - Independent Power Producers industry and Utilities sector, EF-ON's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where EF-ON's Beneish M-Score falls into.
EF-ON 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 EF-ON 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 * 1.0234 | + | 0.528 * 1.3046 | + | 0.404 * 1.6473 | + | 0.892 * 1.2784 | + | 0.115 * 0.716 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * -0.062317 | - | 0.327 * 0.9537 |
| = | -2.10 |
* 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 (Jun23) TTM: | Last Year (Jun22) TTM: |
Total Receivables was 円1,706 Mil.
Revenue was 円16,949 Mil.
Gross Profit was 円2,290 Mil.
Total Current Assets was 円7,598 Mil.
Total Assets was 円45,718 Mil.
Property, Plant and Equipment(Net PPE) was 円35,810 Mil.
Depreciation, Depletion and Amortization(DDA) was 円2,250 Mil.
Selling, General, & Admin. Expense(SGA) was 円0 Mil.
Total Current Liabilities was 円5,036 Mil.
Long-Term Debt & Capital Lease Obligation was 円22,168 Mil.
Net Income was 円824 Mil.
Gross Profit was 円0 Mil.
Cash Flow from Operations was 円3,673 Mil.
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Total Receivables was 円1,304 Mil.
Revenue was 円13,258 Mil.
Gross Profit was 円2,337 Mil.
Total Current Assets was 円8,031 Mil.
Total Assets was 円47,241 Mil.
Property, Plant and Equipment(Net PPE) was 円37,761 Mil.
Depreciation, Depletion and Amortization(DDA) was 円1,669 Mil.
Selling, General, & Admin. Expense(SGA) was 円0 Mil.
Total Current Liabilities was 円5,368 Mil.
Long-Term Debt & Capital Lease Obligation was 円24,106 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) |
| = | (1706 / 16949) | / | (1304 / 13258) |
| = | 0.100655 | / | 0.098356 |
| | = | 1.0234 |
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) |
| = | (2337 / 13258) | / | (2290 / 16949) |
| = | 0.176271 | / | 0.135111 |
| | = | 1.3046 |
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 - (7598 + 35810) / 45718) | / | (1 - (8031 + 37761) / 47241) |
| = | 0.050527 | / | 0.030673 |
| | = | 1.6473 |
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 |
| = | 16949 | / | 13258 |
| | = | 1.2784 |
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)) |
| = | (1669 / (1669 + 37761)) | / | (2250 / (2250 + 35810)) |
| = | 0.042328 | / | 0.059117 |
| | = | 0.716 |
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) |
| = | (0 / 16949) | / | (0 / 13258) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | ((22168 + 5036) / 45718) | / | ((24106 + 5368) / 47241) |
| = | 0.595039 | / | 0.623907 |
| | = | 0.9537 |
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 |
| = | (824 - 0 | - | 3673) | / | 45718 |
| | = | -0.062317 |
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.
EF-ON has a M-score of -2.10 suggests that the company is unlikely to be a manipulator.
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