James Warren Tea Beneish M-Score Historical Data
The historical data trend for James Warren Tea'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.
James Warren Tea Beneish M-Score Chart
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James Warren Tea Annual Data
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Mar15 |
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Mar18 |
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Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-2.64 |
-1.77 |
-2.64 |
-1.64 |
-2.03 |
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James Warren Tea Quarterly Data
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Mar20 |
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Dec24 |
| Beneish M-Score |
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-2.03 |
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Competitive Comparison of James Warren Tea's Beneish M-Score
For the Farm Products subindustry, James Warren Tea'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.
James Warren Tea's Beneish M-Score Distribution in the Consumer Packaged Goods Industry
For the Consumer Packaged Goods industry and Consumer Defensive sector, James Warren Tea's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where James Warren Tea's Beneish M-Score falls into.
James Warren Tea 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 James Warren Tea 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 * 0.6638 | + | 0.528 * 1.0546 | + | 0.404 * 1.2498 | + | 0.892 * 0.9003 | + | 0.115 * 0.9458 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.0791 | + | 4.679 * 0.15405 | - | 0.327 * 0.9421 |
| = | -2.03 |
* 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 ₹46 Mil.
Revenue was ₹1,135 Mil.
Gross Profit was ₹1,011 Mil.
Total Current Assets was ₹492 Mil.
Total Assets was ₹1,136 Mil.
Property, Plant and Equipment(Net PPE) was ₹238 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹28 Mil.
Selling, General, & Admin. Expense(SGA) was ₹109 Mil.
Total Current Liabilities was ₹208 Mil.
Long-Term Debt & Capital Lease Obligation was ₹0 Mil.
Net Income was ₹19 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-156 Mil.
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Total Receivables was ₹78 Mil.
Revenue was ₹1,261 Mil.
Gross Profit was ₹1,185 Mil.
Total Current Assets was ₹732 Mil.
Total Assets was ₹1,393 Mil.
Property, Plant and Equipment(Net PPE) was ₹262 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹29 Mil.
Selling, General, & Admin. Expense(SGA) was ₹112 Mil.
Total Current Liabilities was ₹271 Mil.
Long-Term Debt & Capital Lease Obligation was ₹0 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) |
| = | (46.393 / 1134.825) | / | (77.624 / 1260.506) |
| = | 0.040881 | / | 0.061582 |
| | = | 0.6638 |
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) |
| = | (1184.738 / 1260.506) | / | (1011.427 / 1134.825) |
| = | 0.939891 | / | 0.891263 |
| | = | 1.0546 |
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 - (491.547 + 237.525) / 1136.448) | / | (1 - (731.562 + 262.18) / 1393.41) |
| = | 0.358464 | / | 0.286827 |
| | = | 1.2498 |
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 |
| = | 1134.825 | / | 1260.506 |
| | = | 0.9003 |
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)) |
| = | (28.577 / (28.577 + 262.18)) | / | (27.544 / (27.544 + 237.525)) |
| = | 0.098285 | / | 0.103913 |
| | = | 0.9458 |
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) |
| = | (109.168 / 1134.825) | / | (112.372 / 1260.506) |
| = | 0.096198 | / | 0.089148 |
| | = | 1.0791 |
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) |
| = | ((0 + 208.499) / 1136.448) | / | ((0 + 271.366) / 1393.41) |
| = | 0.183465 | / | 0.19475 |
| | = | 0.9421 |
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 |
| = | (18.839 - 0 | - | -156.231) | / | 1136.448 |
| | = | 0.15405 |
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.
James Warren Tea has a M-score of -2.03 suggests that the company is unlikely to be a manipulator.
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