Gazprom PJSC Beneish M-Score Historical Data
The historical data trend for Gazprom PJSC'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.
Gazprom PJSC Beneish M-Score Chart
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Gazprom PJSC Annual Data
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Trend |
Dec13 |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
| Beneish M-Score |
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-2.34 |
-2.68 |
-2.60 |
-2.17 |
-2.03 |
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Gazprom PJSC Semi-Annual Data
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Dec13 |
Jun14 |
Dec14 |
Jun15 |
Dec15 |
Jun16 |
Dec16 |
Jun17 |
Dec17 |
Jun18 |
Dec18 |
Jun19 |
Dec19 |
Jun20 |
Dec20 |
Jun21 |
Dec21 |
Jun22 |
Dec22 |
Jun23 |
| Beneish M-Score |
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-2.38 |
-2.17 |
-1.97 |
-2.03 |
-1.94 |
BUE:OGZD LI vs XOM, CVX: Beneish M-Score Comparison
For the Oil & Gas Integrated subindustry, Gazprom PJSC'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.
Gazprom PJSC Beneish M-Score vs Oil & Gas Industry
For the Oil & Gas industry and Energy sector, Gazprom PJSC's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Gazprom PJSC's Beneish M-Score falls into.
Gazprom PJSC 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 Gazprom PJSC 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 * 0.7453 | + | 0.528 * 0.8793 | + | 0.404 * 0.9913 | + | 0.892 * 2.286 | + | 0.115 * 1.0039 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.037004 | - | 0.327 * 0.917 |
| = | -1.61 |
* 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 (Dec22) TTM: | Last Year (Dec21) TTM: |
Total Receivables was ARS4,232,234 Mil.
Revenue was ARS31,979,373 Mil.
Gross Profit was ARS22,527,132 Mil.
Total Current Assets was ARS12,656,251 Mil.
Total Assets was ARS71,577,038 Mil.
Property, Plant and Equipment(Net PPE) was ARS50,665,334 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS2,362,386 Mil.
Selling, General, & Admin. Expense(SGA) was ARS0 Mil.
Total Current Liabilities was ARS7,946,555 Mil.
Long-Term Debt & Capital Lease Obligation was ARS12,535,719 Mil.
Net Income was ARS3,357,950 Mil.
Gross Profit was ARS0 Mil.
Cash Flow from Operations was ARS6,006,587 Mil.
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Total Receivables was ARS2,484,111 Mil.
Revenue was ARS13,988,967 Mil.
Gross Profit was ARS8,665,129 Mil.
Total Current Assets was ARS8,488,273 Mil.
Total Assets was ARS36,944,611 Mil.
Property, Plant and Equipment(Net PPE) was ARS24,157,763 Mil.
Depreciation, Depletion and Amortization(DDA) was ARS1,131,027 Mil.
Selling, General, & Admin. Expense(SGA) was ARS46,839 Mil.
Total Current Liabilities was ARS5,495,059 Mil.
Long-Term Debt & Capital Lease Obligation was ARS6,033,701 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) |
| = | (4232233.63 / 31979372.802) | / | (2484110.883 / 13988966.619) |
| = | 0.132343 | / | 0.177576 |
| | = | 0.7453 |
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) |
| = | (8665129.195 / 13988966.619) | / | (22527132.065 / 31979372.802) |
| = | 0.619426 | / | 0.704427 |
| | = | 0.8793 |
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 - (12656251.22 + 50665334.017) / 71577037.884) | / | (1 - (8488272.736 + 24157762.96) / 36944610.502) |
| = | 0.115337 | / | 0.116352 |
| | = | 0.9913 |
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 |
| = | 31979372.802 | / | 13988966.619 |
| | = | 2.286 |
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)) |
| = | (1131026.541 / (1131026.541 + 24157762.96)) | / | (2362385.612 / (2362385.612 + 50665334.017)) |
| = | 0.044724 | / | 0.04455 |
| | = | 1.0039 |
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 / 31979372.802) | / | (46839.09 / 13988966.619) |
| = | 0 | / | 0.003348 |
| | = | 0 |
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) |
| = | ((12535718.547 + 7946554.798) / 71577037.884) | / | ((6033701.445 + 5495059.424) / 36944610.502) |
| = | 0.286157 | / | 0.312055 |
| | = | 0.917 |
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 |
| = | (3357949.883 - 0 | - | 6006586.898) | / | 71577037.884 |
| | = | -0.037004 |
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.
Gazprom PJSC has a M-score of -1.61 signals that the company is likely to be a manipulator.
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