Roto Pumps Beneish M-Score Historical Data
The historical data trend for Roto Pumps'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.
Roto Pumps Beneish M-Score Chart
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Roto Pumps Annual Data
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Trend |
Mar15 |
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Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-2.72 |
-3.03 |
-1.53 |
-2.24 |
-2.02 |
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Roto Pumps Quarterly Data
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Dec19 |
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Jun24 |
Sep24 |
| Beneish M-Score |
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-2.02 |
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Competitive Comparison of Roto Pumps's Beneish M-Score
For the Specialty Industrial Machinery subindustry, Roto Pumps'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.
Roto Pumps's Beneish M-Score Distribution in the Industrial Products Industry
For the Industrial Products industry and Industrials sector, Roto Pumps's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Roto Pumps's Beneish M-Score falls into.
Roto Pumps 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 Roto Pumps 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 * 0.9523 | + | 0.528 * 1.0247 | + | 0.404 * 1.6175 | + | 0.892 * 1.2159 | + | 0.115 * 0.7663 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8719 | + | 4.679 * 0.001755 | - | 0.327 * 0.862 |
| = | -2.02 |
* 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 ₹625 Mil.
Revenue was ₹2,728 Mil.
Gross Profit was ₹1,745 Mil.
Total Current Assets was ₹1,758 Mil.
Total Assets was ₹3,024 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,186 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹129 Mil.
Selling, General, & Admin. Expense(SGA) was ₹71 Mil.
Total Current Liabilities was ₹898 Mil.
Long-Term Debt & Capital Lease Obligation was ₹158 Mil.
Net Income was ₹392 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹386 Mil.
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Total Receivables was ₹539 Mil.
Revenue was ₹2,244 Mil.
Gross Profit was ₹1,471 Mil.
Total Current Assets was ₹1,638 Mil.
Total Assets was ₹2,750 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,068 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹87 Mil.
Selling, General, & Admin. Expense(SGA) was ₹67 Mil.
Total Current Liabilities was ₹959 Mil.
Long-Term Debt & Capital Lease Obligation was ₹155 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) |
| = | (624.57 / 2728.083) | / | (539.391 / 2243.72) |
| = | 0.228941 | / | 0.2404 |
| | = | 0.9523 |
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) |
| = | (1470.835 / 2243.72) | / | (1745.249 / 2728.083) |
| = | 0.655534 | / | 0.639735 |
| | = | 1.0247 |
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 - (1758.268 + 1186.155) / 3023.91) | / | (1 - (1637.59 + 1068.165) / 2750.452) |
| = | 0.026286 | / | 0.016251 |
| | = | 1.6175 |
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 |
| = | 2728.083 | / | 2243.72 |
| | = | 1.2159 |
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)) |
| = | (86.784 / (86.784 + 1068.165)) | / | (128.948 / (128.948 + 1186.155)) |
| = | 0.075141 | / | 0.098052 |
| | = | 0.7663 |
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) |
| = | (71.016 / 2728.083) | / | (66.989 / 2243.72) |
| = | 0.026031 | / | 0.029856 |
| | = | 0.8719 |
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) |
| = | ((158.355 + 897.527) / 3023.91) | / | ((155.155 + 959.029) / 2750.452) |
| = | 0.349178 | / | 0.405091 |
| | = | 0.862 |
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 |
| = | (391.677 - 0 | - | 386.37) | / | 3023.91 |
| | = | 0.001755 |
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.
Roto Pumps has a M-score of -2.02 suggests that the company is unlikely to be a manipulator.
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