BGR Energy Systems Beneish M-Score Historical Data
The historical data trend for BGR Energy Systems'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.
BGR Energy Systems Beneish M-Score Chart
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BGR Energy Systems Annual Data
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Mar24 |
| Beneish M-Score |
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-2.80 |
-3.08 |
-3.12 |
-2.62 |
-2.96 |
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BGR Energy Systems Quarterly Data
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| Beneish M-Score |
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-2.96 |
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Competitive Comparison of BGR Energy Systems's Beneish M-Score
For the Engineering & Construction subindustry, BGR Energy Systems'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.
BGR Energy Systems's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, BGR Energy Systems's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where BGR Energy Systems's Beneish M-Score falls into.
BGR Energy Systems 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 BGR Energy Systems 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 * 0.7204 | + | 0.528 * 2.4219 | + | 0.404 * 0.5362 | + | 0.892 * 1.264 | + | 0.115 * 1.1469 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0169 | + | 4.679 * -0.20847 | - | 0.327 * 1.1772 |
| = | -2.96 |
* 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 (Mar24) TTM: | Last Year (Mar23) TTM: |
Total Receivables was ₹31,205 Mil.
Revenue was ₹9,986 Mil.
Gross Profit was ₹470 Mil.
Total Current Assets was ₹38,956 Mil.
Total Assets was ₹43,582 Mil.
Property, Plant and Equipment(Net PPE) was ₹2,964 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹134 Mil.
Selling, General, & Admin. Expense(SGA) was ₹208 Mil.
Total Current Liabilities was ₹43,981 Mil.
Long-Term Debt & Capital Lease Obligation was ₹4,344 Mil.
Net Income was ₹-7,582 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹1,504 Mil.
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Total Receivables was ₹34,271 Mil.
Revenue was ₹7,901 Mil.
Gross Profit was ₹900 Mil.
Total Current Assets was ₹42,818 Mil.
Total Assets was ₹49,554 Mil.
Property, Plant and Equipment(Net PPE) was ₹3,212 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹168 Mil.
Selling, General, & Admin. Expense(SGA) was ₹162 Mil.
Total Current Liabilities was ₹44,341 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,335 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) |
| = | (31205 / 9986.1) | / | (34271.2 / 7900.7) |
| = | 3.124844 | / | 4.337742 |
| | = | 0.7204 |
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) |
| = | (900 / 7900.7) | / | (469.7 / 9986.1) |
| = | 0.113914 | / | 0.047035 |
| | = | 2.4219 |
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 - (38955.6 + 2964.1) / 43582.2) | / | (1 - (42817.8 + 3211.5) / 49554.4) |
| = | 0.038146 | / | 0.071136 |
| | = | 0.5362 |
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 |
| = | 9986.1 | / | 7900.7 |
| | = | 1.264 |
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)) |
| = | (167.5 / (167.5 + 3211.5)) | / | (133.9 / (133.9 + 2964.1)) |
| = | 0.049571 | / | 0.043221 |
| | = | 1.1469 |
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) |
| = | (208.1 / 9986.1) | / | (161.9 / 7900.7) |
| = | 0.020839 | / | 0.020492 |
| | = | 1.0169 |
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) |
| = | ((4343.6 + 43980.7) / 43582.2) | / | ((2334.6 + 44340.5) / 49554.4) |
| = | 1.108808 | / | 0.941896 |
| | = | 1.1772 |
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 |
| = | (-7581.8 - 0 | - | 1503.8) | / | 43582.2 |
| | = | -0.20847 |
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.
BGR Energy Systems has a M-score of -2.96 suggests that the company is unlikely to be a manipulator.
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