Osia Hyper Retail Beneish M-Score Historical Data
The historical data trend for Osia Hyper Retail'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.
Osia Hyper Retail Beneish M-Score Chart
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Osia Hyper Retail Annual Data
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Trend |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-1.34 |
1.69 |
-1.99 |
-2.37 |
-1.17 |
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Osia Hyper Retail Quarterly Data
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Mar16 |
Mar17 |
Mar18 |
Nov18 |
Mar19 |
Sep19 |
Mar20 |
Sep20 |
Mar21 |
Sep21 |
Mar22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.37 |
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-1.17 |
Competitive Comparison of Osia Hyper Retail's Beneish M-Score
For the Department Stores subindustry, Osia Hyper Retail'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.
Osia Hyper Retail's Beneish M-Score Distribution in the Retail - Cyclical Industry
For the Retail - Cyclical industry and Consumer Cyclical sector, Osia Hyper Retail's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Osia Hyper Retail's Beneish M-Score falls into.
Osia Hyper Retail 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 Osia Hyper Retail 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 * 1.4023 | + | 0.528 * 1.4174 | + | 0.404 * 1.2005 | + | 0.892 * 1.5491 | + | 0.115 * 0.9338 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7346 | + | 4.679 * 0.016379 | - | 0.327 * 0.8993 |
| = | -1.17 |
* 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 ₹1,040 Mil.
Revenue was ₹11,445 Mil.
Gross Profit was ₹1,843 Mil.
Total Current Assets was ₹4,635 Mil.
Total Assets was ₹5,475 Mil.
Property, Plant and Equipment(Net PPE) was ₹719 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹98 Mil.
Selling, General, & Admin. Expense(SGA) was ₹94 Mil.
Total Current Liabilities was ₹2,157 Mil.
Long-Term Debt & Capital Lease Obligation was ₹230 Mil.
Net Income was ₹183 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹93 Mil.
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Total Receivables was ₹479 Mil.
Revenue was ₹7,388 Mil.
Gross Profit was ₹1,686 Mil.
Total Current Assets was ₹3,622 Mil.
Total Assets was ₹4,355 Mil.
Property, Plant and Equipment(Net PPE) was ₹652 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹83 Mil.
Selling, General, & Admin. Expense(SGA) was ₹83 Mil.
Total Current Liabilities was ₹1,831 Mil.
Long-Term Debt & Capital Lease Obligation was ₹280 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) |
| = | (1040.273 / 11444.745) | / | (478.882 / 7388.167) |
| = | 0.090895 | / | 0.064817 |
| | = | 1.4023 |
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) |
| = | (1686.349 / 7388.167) | / | (1843.007 / 11444.745) |
| = | 0.22825 | / | 0.161035 |
| | = | 1.4174 |
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 - (4634.593 + 719.185) / 5475.487) | / | (1 - (3621.923 + 652.353) / 4354.91) |
| = | 0.022228 | / | 0.018516 |
| | = | 1.2005 |
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 |
| = | 11444.745 | / | 7388.167 |
| | = | 1.5491 |
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)) |
| = | (82.591 / (82.591 + 652.353)) | / | (98.389 / (98.389 + 719.185)) |
| = | 0.112377 | / | 0.120343 |
| | = | 0.9338 |
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) |
| = | (94.354 / 11444.745) | / | (82.907 / 7388.167) |
| = | 0.008244 | / | 0.011222 |
| | = | 0.7346 |
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) |
| = | ((229.812 + 2157.467) / 5475.487) | / | ((280.233 + 1831.114) / 4354.91) |
| = | 0.435994 | / | 0.48482 |
| | = | 0.8993 |
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 |
| = | (182.976 - 0 | - | 93.295) | / | 5475.487 |
| | = | 0.016379 |
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.
Osia Hyper Retail has a M-score of -1.17 signals that the company is likely to be a manipulator.
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