WGL Holdings Beneish M-Score Historical Data
The historical data trend for WGL Holdings'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.
WGL Holdings Beneish M-Score Chart
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WGL Holdings Annual Data
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WGL Holdings Quarterly Data
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Competitive Comparison of WGL Holdings's Beneish M-Score
For the Utilities - Regulated Gas subindustry, WGL Holdings'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.
WGL Holdings's Beneish M-Score Distribution in the Utilities - Regulated Industry
For the Utilities - Regulated industry and Utilities sector, WGL Holdings's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where WGL Holdings's Beneish M-Score falls into.
WGL Holdings 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 WGL Holdings 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 * 1.1244 | + | 0.528 * 0.8967 | + | 0.404 * 0.8549 | + | 0.892 * 1.0022 | + | 0.115 * 0.9659 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * -0.008862 | - | 0.327 * 1.0828 |
| = | -2.55 |
* 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 (Sep17) TTM: | Last Year (Sep16) TTM: |
Total Receivables was $553 Mil.
Revenue was $2,355 Mil.
Gross Profit was $648 Mil.
Total Current Assets was $986 Mil.
Total Assets was $6,626 Mil.
Property, Plant and Equipment(Net PPE) was $4,630 Mil.
Depreciation, Depletion and Amortization(DDA) was $154 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $1,489 Mil.
Long-Term Debt & Capital Lease Obligation was $1,431 Mil.
Net Income was $194 Mil.
Gross Profit was $22 Mil.
Cash Flow from Operations was $231 Mil.
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Total Receivables was $491 Mil.
Revenue was $2,350 Mil.
Gross Profit was $580 Mil.
Total Current Assets was $843 Mil.
Total Assets was $6,049 Mil.
Property, Plant and Equipment(Net PPE) was $4,127 Mil.
Depreciation, Depletion and Amortization(DDA) was $133 Mil.
Selling, General, & Admin. Expense(SGA) was $0 Mil.
Total Current Liabilities was $1,027 Mil.
Long-Term Debt & Capital Lease Obligation was $1,435 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) |
| = | (553.312 / 2354.724) | / | (491.02 / 2349.559) |
| = | 0.23498 | / | 0.208984 |
| | = | 1.1244 |
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) |
| = | (579.517 / 2349.559) | / | (647.679 / 2354.724) |
| = | 0.246649 | / | 0.275055 |
| | = | 0.8967 |
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 - (985.889 + 4630.051) / 6626.009) | / | (1 - (843.474 + 4127.237) / 6049.45) |
| = | 0.15244 | / | 0.17832 |
| | = | 0.8549 |
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 |
| = | 2354.724 | / | 2349.559 |
| | = | 1.0022 |
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)) |
| = | (132.566 / (132.566 + 4127.237)) | / | (154.138 / (154.138 + 4630.051)) |
| = | 0.03112 | / | 0.032218 |
| | = | 0.9659 |
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 / 2354.724) | / | (0 / 2349.559) |
| = | 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) |
| = | ((1430.861 + 1488.988) / 6626.009) | / | ((1435.045 + 1026.926) / 6049.45) |
| = | 0.440665 | / | 0.406974 |
| | = | 1.0828 |
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 |
| = | (193.94 - 22.035 | - | 230.625) | / | 6626.009 |
| | = | -0.008862 |
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.
WGL Holdings has a M-score of -2.55 suggests that the company is unlikely to be a manipulator.
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