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The zones of discrimination for M-Score is as such:
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.
Good Sign:
Beneish M-Score -2.53 no higher than -1.78, which implies that the company is unlikely to be a manipulator.
The historical rank and industry rank for Shreyans Industries's Beneish M-Score or its related term are showing as below:
During the past 13 years, the highest Beneish M-Score of Shreyans Industries was -1.56. The lowest was -3.99. And the median was -2.56.
The historical data trend for Shreyans Industries'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.
Shreyans Industries Annual Data | |||||||||||||||||||||
Trend | Mar15 | Mar16 | Mar17 | Mar18 | Mar19 | Mar20 | Mar21 | Mar22 | Mar23 | Mar24 | |||||||||||
Beneish M-Score | Get a 7-Day Free Trial | -3.16 | -2.59 | -1.56 | -2.56 | -2.53 |
Shreyans Industries Quarterly Data | ||||||||||||||||||||
Dec19 | Mar20 | Jun20 | Sep20 | Dec20 | Mar21 | Jun21 | Sep21 | Dec21 | Mar22 | Jun22 | Sep22 | Dec22 | Mar23 | Jun23 | Sep23 | Dec23 | Mar24 | Jun24 | Sep24 | |
Beneish M-Score | Get a 7-Day Free Trial | - | - | -2.53 | - | - |
For the Paper & Paper Products subindustry, Shreyans Industries'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.
For the Forest Products industry and Basic Materials sector, Shreyans Industries's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Shreyans Industries's Beneish M-Score falls into.
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 Shreyans Industries 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 * 1.0278 | + | 0.528 * 0.8811 | + | 0.404 * 0.9231 | + | 0.892 * 0.8077 | + | 0.115 * 1.0282 | |
- | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI | |||||||
- | 0.172 * 0.7538 | + | 4.679 * 0.016257 | - | 0.327 * 0.804 | |||||||
= | -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 ₹322 Mil. Revenue was ₹6,991 Mil. Gross Profit was ₹2,387 Mil. Total Current Assets was ₹3,161 Mil. Total Assets was ₹5,601 Mil. Property, Plant and Equipment(Net PPE) was ₹2,341 Mil. Depreciation, Depletion and Amortization(DDA) was ₹136 Mil. Selling, General, & Admin. Expense(SGA) was ₹163 Mil. Total Current Liabilities was ₹1,286 Mil. Long-Term Debt & Capital Lease Obligation was ₹46 Mil. Net Income was ₹874 Mil. Gross Profit was ₹0 Mil. Cash Flow from Operations was ₹783 Mil. |
Total Receivables was ₹387 Mil. Revenue was ₹8,655 Mil. Gross Profit was ₹2,604 Mil. Total Current Assets was ₹2,528 Mil. Total Assets was ₹4,824 Mil. Property, Plant and Equipment(Net PPE) was ₹2,203 Mil. Depreciation, Depletion and Amortization(DDA) was ₹132 Mil. Selling, General, & Admin. Expense(SGA) was ₹268 Mil. Total Current Liabilities was ₹1,374 Mil. Long-Term Debt & Capital Lease Obligation was ₹52 Mil. |
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) |
= | (321.5 / 6990.644) | / | (387.244 / 8654.706) | |
= | 0.04599 | / | 0.044744 | |
= | 1.0278 |
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) | |
= | (2604.43 / 8654.706) | / | (2387.489 / 6990.644) | |
= | 0.300926 | / | 0.341526 | |
= | 0.8811 |
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 - (3160.739 + 2340.66) / 5600.5) | / | (1 - (2528.002 + 2203.248) / 4823.72) | |
= | 0.017695 | / | 0.01917 | |
= | 0.9231 |
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 | |
= | 6990.644 | / | 8654.706 | |
= | 0.8077 |
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)) |
= | (131.609 / (131.609 + 2203.248)) | / | (135.763 / (135.763 + 2340.66)) | |
= | 0.056367 | / | 0.054822 | |
= | 1.0282 |
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) |
= | (163.474 / 6990.644) | / | (268.474 / 8654.706) | |
= | 0.023385 | / | 0.031021 | |
= | 0.7538 |
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) |
= | ((45.747 + 1285.582) / 5600.5) | / | ((52.436 + 1373.859) / 4823.72) | |
= | 0.237716 | / | 0.295684 | |
= | 0.804 |
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 | |
= | (874.205 - 0 | - | 783.156) | / | 5600.5 | |
= | 0.016257 |
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.
Shreyans Industries has a M-score of -2.53 suggests that the company is unlikely to be a manipulator.
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