Berger Paints India Beneish M-Score Historical Data
The historical data trend for Berger Paints India'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.
Berger Paints India Beneish M-Score Chart
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Berger Paints India Annual Data
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Trend |
Mar15 |
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Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-2.56 |
-2.20 |
-2.17 |
-2.39 |
-2.53 |
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Berger Paints India Quarterly Data
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Jun19 |
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Mar24 |
| Beneish M-Score |
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-2.39 |
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-2.53 |
Competitive Comparison of Berger Paints India's Beneish M-Score
For the Specialty Chemicals subindustry, Berger Paints India'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.
Berger Paints India's Beneish M-Score Distribution in the Chemicals Industry
For the Chemicals industry and Basic Materials sector, Berger Paints India's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Berger Paints India's Beneish M-Score falls into.
Berger Paints India 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 Berger Paints India 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 * 0.9826 | + | 0.528 * 0.8932 | + | 0.404 * 0.9603 | + | 0.892 * 1.0597 | + | 0.115 * 0.8703 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.050583 | - | 0.327 * 0.8067 |
| = | -2.53 |
* 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 ₹13,451 Mil.
Revenue was ₹111,989 Mil.
Gross Profit was ₹45,529 Mil.
Total Current Assets was ₹43,180 Mil.
Total Assets was ₹83,687 Mil.
Property, Plant and Equipment(Net PPE) was ₹33,865 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹3,309 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹23,625 Mil.
Long-Term Debt & Capital Lease Obligation was ₹4,483 Mil.
Net Income was ₹11,677 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹15,911 Mil.
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Total Receivables was ₹12,917 Mil.
Revenue was ₹105,678 Mil.
Gross Profit was ₹38,373 Mil.
Total Current Assets was ₹41,645 Mil.
Total Assets was ₹79,672 Mil.
Property, Plant and Equipment(Net PPE) was ₹31,444 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2,640 Mil.
Selling, General, & Admin. Expense(SGA) was ₹10,367 Mil.
Total Current Liabilities was ₹29,746 Mil.
Long-Term Debt & Capital Lease Obligation was ₹3,424 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) |
| = | (13450.9 / 111989.2) | / | (12917.4 / 105678.4) |
| = | 0.120109 | / | 0.122233 |
| | = | 0.9826 |
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) |
| = | (38373.2 / 105678.4) | / | (45529.2 / 111989.2) |
| = | 0.363113 | / | 0.40655 |
| | = | 0.8932 |
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 - (43180.3 + 33865.3) / 83686.6) | / | (1 - (41644.5 + 31443.5) / 79671.7) |
| = | 0.079356 | / | 0.082635 |
| | = | 0.9603 |
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 |
| = | 111989.2 | / | 105678.4 |
| | = | 1.0597 |
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)) |
| = | (2640.3 / (2640.3 + 31443.5)) | / | (3308.8 / (3308.8 + 33865.3)) |
| = | 0.077465 | / | 0.089008 |
| | = | 0.8703 |
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 / 111989.2) | / | (10366.5 / 105678.4) |
| = | 0 | / | 0.098095 |
| | = | 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) |
| = | ((4482.7 + 23625.1) / 83686.6) | / | ((3424.1 + 29745.5) / 79671.7) |
| = | 0.33587 | / | 0.416329 |
| | = | 0.8067 |
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 |
| = | (11677.4 - 0 | - | 15910.5) | / | 83686.6 |
| | = | -0.050583 |
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.
Berger Paints India has a M-score of -2.53 suggests that the company is unlikely to be a manipulator.
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