Phil Energy Co Beneish M-Score Historical Data
The historical data trend for Phil Energy Co'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.
Phil Energy Co Beneish M-Score Chart
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Phil Energy Co Annual Data
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Trend |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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- |
- |
- |
-4.61 |
2.17 |
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Phil Energy Co Quarterly Data
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Dec20 |
Dec21 |
Mar22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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-4.61 |
-4.12 |
- |
-1.69 |
2.17 |
Competitive Comparison of Phil Energy Co's Beneish M-Score
For the Specialty Industrial Machinery subindustry, Phil Energy Co'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.
Phil Energy Co's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Phil Energy Co's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Phil Energy Co's Beneish M-Score falls into.
Phil Energy Co 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 Phil Energy Co 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 * 4.6304 | + | 0.528 * 0.9852 | + | 0.404 * 1.2634 | + | 0.892 * 1.4508 | + | 0.115 * 0.7363 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.6885 | + | 4.679 * 0.144541 | - | 0.327 * 0.6694 |
| = | 2.17 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was ₩34,107 Mil.
Revenue was 76094.932 + 57738.156 + 94237.449 + 57329.186 = ₩285,400 Mil.
Gross Profit was 8381.86 + 8020.795 + 14373.855 + 8283.251 = ₩39,060 Mil.
Total Current Assets was ₩145,374 Mil.
Total Assets was ₩212,055 Mil.
Property, Plant and Equipment(Net PPE) was ₩54,433 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩5,235 Mil.
Selling, General, & Admin. Expense(SGA) was ₩3,284 Mil.
Total Current Liabilities was ₩60,862 Mil.
Long-Term Debt & Capital Lease Obligation was ₩7,919 Mil.
Net Income was 5098.585 + 1629.121 + 6497.276 + 835.346 = ₩14,060 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₩0 Mil.
Cash Flow from Operations was 41991.334 + 33352.879 + -28837.062 + -63097.351 = ₩-16,590 Mil.
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Total Receivables was ₩5,077 Mil.
Revenue was 62561.442 + 14454.766 + 46686.484 + 73012.476 = ₩196,715 Mil.
Gross Profit was 6052.035 + 1196.335 + 7624.668 + 11651.192 = ₩26,524 Mil.
Total Current Assets was ₩196,161 Mil.
Total Assets was ₩249,850 Mil.
Property, Plant and Equipment(Net PPE) was ₩42,266 Mil.
Depreciation, Depletion and Amortization(DDA) was ₩2,919 Mil.
Selling, General, & Admin. Expense(SGA) was ₩3,288 Mil.
Total Current Liabilities was ₩110,609 Mil.
Long-Term Debt & Capital Lease Obligation was ₩10,456 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) |
| = | (34107.398 / 285399.723) | / | (5077.048 / 196715.168) |
| = | 0.119507 | / | 0.025809 |
| | = | 4.6304 |
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) |
| = | (26524.23 / 196715.168) | / | (39059.761 / 285399.723) |
| = | 0.134836 | / | 0.13686 |
| | = | 0.9852 |
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 - (145373.569 + 54432.547) / 212054.89) | / | (1 - (196160.621 + 42266.254) / 249849.612) |
| = | 0.057762 | / | 0.045718 |
| | = | 1.2634 |
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 |
| = | 285399.723 | / | 196715.168 |
| | = | 1.4508 |
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)) |
| = | (2919.014 / (2919.014 + 42266.254)) | / | (5235.016 / (5235.016 + 54432.547)) |
| = | 0.064601 | / | 0.087736 |
| | = | 0.7363 |
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) |
| = | (3284.397 / 285399.723) | / | (3287.945 / 196715.168) |
| = | 0.011508 | / | 0.016714 |
| | = | 0.6885 |
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) |
| = | ((7919.225 + 60861.621) / 212054.89) | / | ((10455.848 + 110609.035) / 249849.612) |
| = | 0.324354 | / | 0.484551 |
| | = | 0.6694 |
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 |
| = | (14060.328 - 0 | - | -16590.2) | / | 212054.89 |
| | = | 0.144541 |
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.
Phil Energy Co has a M-score of 2.17 signals that the company is likely to be a manipulator.
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