Vistra Beneish M-Score Historical Data
The historical data trend for Vistra'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.
Vistra Beneish M-Score Chart
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Vistra Annual Data
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Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
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-2.60 |
-2.98 |
-0.91 |
-2.83 |
-3.55 |
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Vistra 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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-2.83 |
-2.52 |
-2.87 |
-3.05 |
-3.55 |
Competitive Comparison of Vistra's Beneish M-Score
For the Utilities - Independent Power Producers subindustry, Vistra'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.
Vistra's Beneish M-Score Distribution in the Utilities - Independent Power Producers Industry
For the Utilities - Independent Power Producers industry and Utilities sector, Vistra's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Vistra's Beneish M-Score falls into.
Vistra 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 Vistra 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 * 0.7482 | + | 0.528 * 0.3279 | + | 0.404 * 0.9705 | + | 0.892 * 1.0765 | + | 0.115 * 1.0312 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0253 | + | 4.679 * -0.117515 | - | 0.327 * 0.9797 |
| = | -3.55 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $1,680.00 Mil.
Revenue was 3078 + 4086 + 3189 + 4425 = $14,778.00 Mil.
Gross Profit was 850 + 1566 + 1269 + 1834 = $5,519.00 Mil.
Total Current Assets was $11,637.00 Mil.
Total Assets was $32,966.00 Mil.
Property, Plant and Equipment(Net PPE) was $12,482.00 Mil.
Depreciation, Depletion and Amortization(DDA) was $1,956.00 Mil.
Selling, General, & Admin. Expense(SGA) was $1,309.00 Mil.
Total Current Liabilities was $9,823.00 Mil.
Long-Term Debt & Capital Lease Obligation was $12,391.00 Mil.
Net Income was -184 + 502 + 476 + 699 = $1,493.00 Mil.
Non Operating Income was -100 + 7 + 159 + -152 = $-86.00 Mil.
Cash Flow from Operations was 881 + 1560 + 1577 + 1435 = $5,453.00 Mil.
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Total Receivables was $2,086.00 Mil.
Revenue was 3869 + 5146 + 1588 + 3125 = $13,728.00 Mil.
Gross Profit was 653 + 1607 + -1009 + 430 = $1,681.00 Mil.
Total Current Assets was $11,116.00 Mil.
Total Assets was $32,787.00 Mil.
Property, Plant and Equipment(Net PPE) was $12,605.00 Mil.
Depreciation, Depletion and Amortization(DDA) was $2,047.00 Mil.
Selling, General, & Admin. Expense(SGA) was $1,186.00 Mil.
Total Current Liabilities was $10,337.00 Mil.
Long-Term Debt & Capital Lease Obligation was $12,215.00 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) |
| = | (1680 / 14778) | / | (2086 / 13728) |
| = | 0.113683 | / | 0.151952 |
| | = | 0.7482 |
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) |
| = | (1681 / 13728) | / | (5519 / 14778) |
| = | 0.12245 | / | 0.373461 |
| | = | 0.3279 |
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 - (11637 + 12482) / 32966) | / | (1 - (11116 + 12605) / 32787) |
| = | 0.268367 | / | 0.276512 |
| | = | 0.9705 |
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 |
| = | 14778 | / | 13728 |
| | = | 1.0765 |
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)) |
| = | (2047 / (2047 + 12605)) | / | (1956 / (1956 + 12482)) |
| = | 0.139708 | / | 0.135476 |
| | = | 1.0312 |
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) |
| = | (1309 / 14778) | / | (1186 / 13728) |
| = | 0.088578 | / | 0.086393 |
| | = | 1.0253 |
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) |
| = | ((12391 + 9823) / 32966) | / | ((12215 + 10337) / 32787) |
| = | 0.673846 | / | 0.687834 |
| | = | 0.9797 |
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 |
| = | (1493 - -86 | - | 5453) | / | 32966 |
| | = | -0.117515 |
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.
Vistra has a M-score of -3.55 suggests that the company is unlikely to be a manipulator.
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