Opc Energy Beneish M-Score Historical Data
The historical data trend for Opc Energy'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.
Opc Energy Beneish M-Score Chart
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Opc Energy Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.62 |
-2.66 |
-1.47 |
-2.04 |
-1.91 |
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Opc Energy Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
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Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.06 |
-2.15 |
-2.37 |
-1.91 |
-2.18 |
Competitive Comparison of Opc Energy's Beneish M-Score
For the Utilities - Independent Power Producers subindustry, Opc Energy'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.
Opc Energy's Beneish M-Score Distribution in the Utilities - Independent Power Producers Industry
For the Utilities - Independent Power Producers industry and Utilities sector, Opc Energy's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Opc Energy's Beneish M-Score falls into.
Opc Energy 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 Opc Energy 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 * 1.2529 | + | 0.528 * 0.9429 | + | 0.404 * 1.0073 | + | 0.892 * 1.3504 | + | 0.115 * 0.7801 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8495 | + | 4.679 * -0.044197 | - | 0.327 * 1.0351 |
| = | -2.18 |
* 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 (Mar23) TTM: |
Total Receivables was ₪626 Mil.
Revenue was 638 + 581 + 851 + 601 = ₪2,671 Mil.
Gross Profit was 134 + 66 + 195 + 69 = ₪464 Mil.
Total Current Assets was ₪1,480 Mil.
Total Assets was ₪12,580 Mil.
Property, Plant and Equipment(Net PPE) was ₪7,022 Mil.
Depreciation, Depletion and Amortization(DDA) was ₪328 Mil.
Selling, General, & Admin. Expense(SGA) was ₪78 Mil.
Total Current Liabilities was ₪1,070 Mil.
Long-Term Debt & Capital Lease Obligation was ₪5,283 Mil.
Net Income was 18 + 23 + 82 + -24 = ₪99 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₪0 Mil.
Cash Flow from Operations was 263 + 52 + 283 + 57 = ₪655 Mil.
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Total Receivables was ₪370 Mil.
Revenue was 519 + 504 + 550 + 405 = ₪1,978 Mil.
Gross Profit was 107 + 77 + 111 + 29 = ₪324 Mil.
Total Current Assets was ₪1,913 Mil.
Total Assets was ₪11,283 Mil.
Property, Plant and Equipment(Net PPE) was ₪5,739 Mil.
Depreciation, Depletion and Amortization(DDA) was ₪207 Mil.
Selling, General, & Admin. Expense(SGA) was ₪68 Mil.
Total Current Liabilities was ₪1,088 Mil.
Long-Term Debt & Capital Lease Obligation was ₪4,417 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) |
| = | (626 / 2671) | / | (370 / 1978) |
| = | 0.234369 | / | 0.187058 |
| | = | 1.2529 |
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) |
| = | (324 / 1978) | / | (464 / 2671) |
| = | 0.163802 | / | 0.173718 |
| | = | 0.9429 |
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 - (1480 + 7022) / 12580) | / | (1 - (1913 + 5739) / 11283) |
| = | 0.324165 | / | 0.321812 |
| | = | 1.0073 |
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 |
| = | 2671 | / | 1978 |
| | = | 1.3504 |
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)) |
| = | (207 / (207 + 5739)) | / | (328 / (328 + 7022)) |
| = | 0.034813 | / | 0.044626 |
| | = | 0.7801 |
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) |
| = | (78 / 2671) | / | (68 / 1978) |
| = | 0.029203 | / | 0.034378 |
| | = | 0.8495 |
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) |
| = | ((5283 + 1070) / 12580) | / | ((4417 + 1088) / 11283) |
| = | 0.505008 | / | 0.487902 |
| | = | 1.0351 |
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 |
| = | (99 - 0 | - | 655) | / | 12580 |
| | = | -0.044197 |
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.
Opc Energy has a M-score of -2.18 suggests that the company is unlikely to be a manipulator.
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