Baheti Recycling Industries Beneish M-Score Historical Data
The historical data trend for Baheti Recycling 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.
Baheti Recycling Industries Beneish M-Score Chart
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Baheti Recycling Industries Annual Data
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|
Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
|
- |
- |
- |
-2.80 |
|
Baheti Recycling Industries Semi-Annual Data
|
|
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
- |
- |
- |
-2.80 |
Competitive Comparison of Baheti Recycling Industries's Beneish M-Score
For the Aluminum subindustry, Baheti Recycling 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.
Baheti Recycling Industries's Beneish M-Score Distribution in the Metals & Mining Industry
For the Metals & Mining industry and Basic Materials sector, Baheti Recycling Industries's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Baheti Recycling Industries's Beneish M-Score falls into.
Baheti Recycling Industries 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 Baheti Recycling 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 * 0.979 | + | 0.528 * 0.9363 | + | 0.404 * -2 | + | 0.892 * 1.4491 | + | 0.115 * 1.1858 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1386 | + | 4.679 * 0.110409 | - | 0.327 * 0.9193 |
| = | -2.80 |
* 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 ₹542 Mil.
Revenue was ₹3,600 Mil.
Gross Profit was ₹409 Mil.
Total Current Assets was ₹1,178 Mil.
Total Assets was ₹1,270 Mil.
Property, Plant and Equipment(Net PPE) was ₹92 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹8 Mil.
Selling, General, & Admin. Expense(SGA) was ₹97 Mil.
Total Current Liabilities was ₹809 Mil.
Long-Term Debt & Capital Lease Obligation was ₹111 Mil.
Net Income was ₹53 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-87 Mil.
|
Total Receivables was ₹382 Mil.
Revenue was ₹2,484 Mil.
Gross Profit was ₹265 Mil.
Total Current Assets was ₹748 Mil.
Total Assets was ₹819 Mil.
Property, Plant and Equipment(Net PPE) was ₹71 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹7 Mil.
Selling, General, & Admin. Expense(SGA) was ₹59 Mil.
Total Current Liabilities was ₹586 Mil.
Long-Term Debt & Capital Lease Obligation was ₹60 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) |
| = | (541.605 / 3599.629) | / | (381.773 / 2483.976) |
| = | 0.150461 | / | 0.153694 |
| | = | 0.979 |
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) |
| = | (264.504 / 2483.976) | / | (409.381 / 3599.629) |
| = | 0.106484 | / | 0.113729 |
| | = | 0.9363 |
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 - (1177.808 + 91.914) / 1269.719) | / | (1 - (747.883 + 71.155) / 819.039) |
| = | -2.0E-6 | / | 1.0E-6 |
| | = | -2 |
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 |
| = | 3599.629 | / | 2483.976 |
| | = | 1.4491 |
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)) |
| = | (7.488 / (7.488 + 71.155)) | / | (8.025 / (8.025 + 91.914)) |
| = | 0.095215 | / | 0.080299 |
| | = | 1.1858 |
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) |
| = | (96.681 / 3599.629) | / | (58.595 / 2483.976) |
| = | 0.026859 | / | 0.023589 |
| | = | 1.1386 |
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) |
| = | ((110.727 + 809.257) / 1269.719) | / | ((59.847 + 585.668) / 819.039) |
| = | 0.724557 | / | 0.788137 |
| | = | 0.9193 |
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 |
| = | (52.84 - 0 | - | -87.348) | / | 1269.719 |
| | = | 0.110409 |
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.
Baheti Recycling Industries has a M-score of -2.80 suggests that the company is unlikely to be a manipulator.
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