R K Swamy Beneish M-Score Historical Data
The historical data trend for R K Swamy'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.
R K Swamy Beneish M-Score Chart
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R K Swamy Annual Data
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|
Trend |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
|
- |
- |
-2.31 |
|
R K Swamy Quarterly Data
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|
Mar21 |
Mar22 |
Mar23 |
Sep23 |
| Beneish M-Score |
- |
- |
-2.31 |
- |
Competitive Comparison of R K Swamy's Beneish M-Score
For the Advertising Agencies subindustry, R K Swamy'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.
R K Swamy's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, R K Swamy's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where R K Swamy's Beneish M-Score falls into.
R K Swamy 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 R K Swamy 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 * 0.5972 | + | 0.528 * 1.0052 | + | 0.404 * 1.476 | + | 0.892 * 1.2483 | + | 0.115 * 1.1995 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8267 | + | 4.679 * 0.006673 | - | 0.327 * 0.8861 |
| = | -2.31 |
* 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 ₹2,169 Mil.
Revenue was ₹2,926 Mil.
Gross Profit was ₹2,080 Mil.
Total Current Assets was ₹2,448 Mil.
Total Assets was ₹3,137 Mil.
Property, Plant and Equipment(Net PPE) was ₹367 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹147 Mil.
Selling, General, & Admin. Expense(SGA) was ₹196 Mil.
Total Current Liabilities was ₹2,460 Mil.
Long-Term Debt & Capital Lease Obligation was ₹195 Mil.
Net Income was ₹313 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹292 Mil.
|
Total Receivables was ₹2,910 Mil.
Revenue was ₹2,344 Mil.
Gross Profit was ₹1,675 Mil.
Total Current Assets was ₹3,517 Mil.
Total Assets was ₹4,064 Mil.
Property, Plant and Equipment(Net PPE) was ₹266 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹139 Mil.
Selling, General, & Admin. Expense(SGA) was ₹189 Mil.
Total Current Liabilities was ₹3,723 Mil.
Long-Term Debt & Capital Lease Obligation was ₹160 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) |
| = | (2169.49 / 2926.13) | / | (2910.14 / 2344.13) |
| = | 0.74142 | / | 1.241458 |
| | = | 0.5972 |
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) |
| = | (1674.6 / 2344.13) | / | (2079.59 / 2926.13) |
| = | 0.71438 | / | 0.710696 |
| | = | 1.0052 |
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 - (2448.26 + 366.9) / 3136.52) | / | (1 - (3516.67 + 265.6) / 4064.41) |
| = | 0.102458 | / | 0.069417 |
| | = | 1.476 |
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 |
| = | 2926.13 | / | 2344.13 |
| | = | 1.2483 |
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)) |
| = | (138.9 / (138.9 + 265.6)) | / | (147.16 / (147.16 + 366.9)) |
| = | 0.343387 | / | 0.28627 |
| | = | 1.1995 |
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) |
| = | (195.5 / 2926.13) | / | (189.44 / 2344.13) |
| = | 0.066812 | / | 0.080815 |
| | = | 0.8267 |
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) |
| = | ((195.2 + 2459.73) / 3136.52) | / | ((159.98 + 3722.54) / 4064.41) |
| = | 0.846457 | / | 0.955248 |
| | = | 0.8861 |
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 |
| = | (312.58 - 0 | - | 291.65) | / | 3136.52 |
| | = | 0.006673 |
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.
R K Swamy has a M-score of -2.31 suggests that the company is unlikely to be a manipulator.
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