Gensol Engineering Beneish M-Score Historical Data
The historical data trend for Gensol Engineering'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.
Gensol Engineering Beneish M-Score Chart
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Gensol Engineering Annual Data
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Mar17 |
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Mar19 |
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Mar23 |
Mar24 |
| Beneish M-Score |
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-1.04 |
-2.91 |
1.46 |
-0.83 |
-0.34 |
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Gensol Engineering Quarterly Data
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Mar17 |
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Dec24 |
| Beneish M-Score |
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0.00 |
-0.34 |
0.00 |
0.00 |
0.00 |
NSE:GENSOL vs FSLR, NXT, RUN: Beneish M-Score Comparison
For the Solar subindustry, Gensol Engineering'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.
Gensol Engineering Beneish M-Score vs Semiconductors Industry
For the Semiconductors industry and Technology sector, Gensol Engineering's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Gensol Engineering's Beneish M-Score falls into.
Gensol Engineering 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 Gensol Engineering 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 * 1.8376 | + | 0.528 * 0.9087 | + | 0.404 * 1.0734 | + | 0.892 * 2.3369 | + | 0.115 * 0.6909 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.2183 | + | 4.679 * 0.067725 | - | 0.327 * 1.1529 |
| = | -0.34 |
* 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 ₹5,734 Mil.
Revenue was ₹8,342 Mil.
Gross Profit was ₹1,875 Mil.
Total Current Assets was ₹11,228 Mil.
Total Assets was ₹23,278 Mil.
Property, Plant and Equipment(Net PPE) was ₹9,147 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹743 Mil.
Selling, General, & Admin. Expense(SGA) was ₹190 Mil.
Total Current Liabilities was ₹8,281 Mil.
Long-Term Debt & Capital Lease Obligation was ₹9,369 Mil.
Net Income was ₹596 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-981 Mil.
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Total Receivables was ₹1,335 Mil.
Revenue was ₹3,570 Mil.
Gross Profit was ₹729 Mil.
Total Current Assets was ₹4,783 Mil.
Total Assets was ₹10,658 Mil.
Property, Plant and Equipment(Net PPE) was ₹4,637 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹254 Mil.
Selling, General, & Admin. Expense(SGA) was ₹67 Mil.
Total Current Liabilities was ₹2,020 Mil.
Long-Term Debt & Capital Lease Obligation was ₹4,989 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) |
| = | (5733.8 / 8341.9) | / | (1335.2 / 3569.7) |
| = | 0.687349 | / | 0.374037 |
| | = | 1.8376 |
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) |
| = | (728.9 / 3569.7) | / | (1874.5 / 8341.9) |
| = | 0.204191 | / | 0.224709 |
| | = | 0.9087 |
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 - (11228.4 + 9147.2) / 23278) | / | (1 - (4782.9 + 4637.1) / 10658) |
| = | 0.124684 | / | 0.116157 |
| | = | 1.0734 |
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 |
| = | 8341.9 | / | 3569.7 |
| | = | 2.3369 |
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)) |
| = | (253.7 / (253.7 + 4637.1)) | / | (742.5 / (742.5 + 9147.2)) |
| = | 0.051873 | / | 0.075078 |
| | = | 0.6909 |
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) |
| = | (189.6 / 8341.9) | / | (66.6 / 3569.7) |
| = | 0.022729 | / | 0.018657 |
| | = | 1.2183 |
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) |
| = | ((9368.8 + 8281.3) / 23278) | / | ((4989.3 + 2020) / 10658) |
| = | 0.758231 | / | 0.657656 |
| | = | 1.1529 |
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 |
| = | (595.5 - 0 | - | -981) | / | 23278 |
| | = | 0.067725 |
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.
Gensol Engineering has a M-score of -0.34 signals that the company is likely to be a manipulator.
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