Ganesha Ecosphere Beneish M-Score Historical Data
The historical data trend for Ganesha Ecosphere'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.
Ganesha Ecosphere Beneish M-Score Chart
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Ganesha Ecosphere Annual Data
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Mar14 |
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Mar19 |
Mar20 |
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Mar23 |
| Beneish M-Score |
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-2.16 |
-2.46 |
-2.05 |
-2.32 |
-2.41 |
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Ganesha Ecosphere Quarterly Data
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Dec18 |
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Dec23 |
| Beneish M-Score |
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-2.41 |
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Competitive Comparison of Ganesha Ecosphere's Beneish M-Score
For the Textile Manufacturing subindustry, Ganesha Ecosphere'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.
Ganesha Ecosphere's Beneish M-Score Distribution in the Manufacturing - Apparel & Accessories Industry
For the Manufacturing - Apparel & Accessories industry and Consumer Cyclical sector, Ganesha Ecosphere's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Ganesha Ecosphere's Beneish M-Score falls into.
Ganesha Ecosphere 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 Ganesha Ecosphere 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 * 0.6553 | + | 0.528 * 1.0491 | + | 0.404 * 0.7147 | + | 0.892 * 1.1549 | + | 0.115 * 1.2533 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * 0.037203 | - | 0.327 * 1.1076 |
| = | -2.41 |
* 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 (Mar23) TTM: | Last Year (Mar22) TTM: |
Total Receivables was ₹1,148 Mil.
Revenue was ₹11,796 Mil.
Gross Profit was ₹4,010 Mil.
Total Current Assets was ₹5,260 Mil.
Total Assets was ₹13,228 Mil.
Property, Plant and Equipment(Net PPE) was ₹7,479 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹292 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹3,324 Mil.
Long-Term Debt & Capital Lease Obligation was ₹3,118 Mil.
Net Income was ₹695 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹202 Mil.
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Total Receivables was ₹1,517 Mil.
Revenue was ₹10,214 Mil.
Gross Profit was ₹3,642 Mil.
Total Current Assets was ₹4,625 Mil.
Total Assets was ₹10,947 Mil.
Property, Plant and Equipment(Net PPE) was ₹5,756 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹284 Mil.
Selling, General, & Admin. Expense(SGA) was ₹654 Mil.
Total Current Liabilities was ₹2,449 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,365 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) |
| = | (1148.102 / 11796.314) | / | (1517.083 / 10214.436) |
| = | 0.097327 | / | 0.148523 |
| | = | 0.6553 |
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) |
| = | (3642.277 / 10214.436) | / | (4009.663 / 11796.314) |
| = | 0.356581 | / | 0.339908 |
| | = | 1.0491 |
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 - (5259.988 + 7478.766) / 13227.706) | / | (1 - (4624.524 + 5756.276) / 10947) |
| = | 0.036964 | / | 0.051722 |
| | = | 0.7147 |
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 |
| = | 11796.314 | / | 10214.436 |
| | = | 1.1549 |
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)) |
| = | (284.013 / (284.013 + 5756.276)) | / | (291.508 / (291.508 + 7478.766)) |
| = | 0.04702 | / | 0.037516 |
| | = | 1.2533 |
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 / 11796.314) | / | (654.368 / 10214.436) |
| = | 0 | / | 0.064063 |
| | = | 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) |
| = | ((3117.557 + 3324.398) / 13227.706) | / | ((2364.862 + 2448.678) / 10947) |
| = | 0.487005 | / | 0.439713 |
| | = | 1.1076 |
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 |
| = | (694.598 - 0 | - | 202.49) | / | 13227.706 |
| | = | 0.037203 |
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.
Ganesha Ecosphere has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.
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