Aboitiz Power Beneish M-Score Historical Data
The historical data trend for Aboitiz Power'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.
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Aboitiz Power Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-1.34 |
-2.78 |
-2.32 |
-2.03 |
-2.68 |
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Aboitiz Power Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.03 |
-2.31 |
-2.40 |
-2.94 |
-2.68 |
Competitive Comparison
For the Utilities - Regulated Electric subindustry, Aboitiz Power'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.
Aboitiz Power Beneish M-Score Distribution
For the Utilities - Regulated industry and Utilities sector, Aboitiz Power's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Aboitiz Power's Beneish M-Score falls into.
Aboitiz Power 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 Aboitiz Power 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 * 0.9 | + | 0.528 * 0.9522 | + | 0.404 * 1.1509 | + | 0.892 * 1.0676 | + | 0.115 * 0.922 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.2889 | + | 4.679 * -0.035249 | - | 0.327 * 0.942 |
| = | -2.68 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $584 Mil.
Revenue was 910.272 + 839.372 + 998.112 + 845.734 = $3,593 Mil.
Gross Profit was 258.035 + 248.071 + 290.198 + 205.382 = $1,002 Mil.
Total Current Assets was $2,009 Mil.
Total Assets was $8,451 Mil.
Property, Plant and Equipment(Net PPE) was $3,639 Mil.
Depreciation, Depletion and Amortization(DDA) was $227 Mil.
Selling, General, & Admin. Expense(SGA) was $105 Mil.
Total Current Liabilities was $1,122 Mil.
Long-Term Debt & Capital Lease Obligation was $3,581 Mil.
Net Income was 110.42 + 154.816 + 178.52 + 130.608 = $574 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0 Mil.
Cash Flow from Operations was 217.819 + 265.05 + 120.68 + 268.692 = $872 Mil.
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Total Receivables was $607 Mil.
Revenue was 1008.139 + 922.574 + 812.831 + 622.533 = $3,366 Mil.
Gross Profit was 190.091 + 264.805 + 253.572 + 185.01 = $893 Mil.
Total Current Assets was $2,307 Mil.
Total Assets was $8,283 Mil.
Property, Plant and Equipment(Net PPE) was $3,589 Mil.
Depreciation, Depletion and Amortization(DDA) was $206 Mil.
Selling, General, & Admin. Expense(SGA) was $77 Mil.
Total Current Liabilities was $1,294 Mil.
Long-Term Debt & Capital Lease Obligation was $3,599 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) |
| = | (583.544 / 3593.49) | / | (607.353 / 3366.077) |
| = | 0.162389 | / | 0.180433 |
| | = | 0.9 |
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) |
| = | (893.478 / 3366.077) | / | (1001.686 / 3593.49) |
| = | 0.265436 | / | 0.27875 |
| | = | 0.9522 |
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 - (2009.361 + 3639.072) / 8450.575) | / | (1 - (2307.337 + 3589.285) / 8283.176) |
| = | 0.331592 | / | 0.288121 |
| | = | 1.1509 |
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 |
| = | 3593.49 | / | 3366.077 |
| | = | 1.0676 |
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)) |
| = | (205.852 / (205.852 + 3589.285)) | / | (227.47 / (227.47 + 3639.072)) |
| = | 0.054241 | / | 0.05883 |
| | = | 0.922 |
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) |
| = | (105.367 / 3593.49) | / | (76.576 / 3366.077) |
| = | 0.029322 | / | 0.022749 |
| | = | 1.2889 |
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) |
| = | ((3580.887 + 1121.504) / 8450.575) | / | ((3599.154 + 1293.863) / 8283.176) |
| = | 0.556458 | / | 0.590717 |
| | = | 0.942 |
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 |
| = | (574.364 - 0 | - | 872.241) | / | 8450.575 |
| | = | -0.035249 |
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.
Aboitiz Power has a M-score of -2.68 suggests that the company is unlikely to be a manipulator.
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