Viviana Power Tech Beneish M-Score Historical Data
The historical data trend for Viviana Power Tech'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.
Viviana Power Tech Beneish M-Score Chart
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Viviana Power Tech Annual Data
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Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
Mar25 |
| Beneish M-Score |
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0.00 |
-1.37 |
0.81 |
-0.99 |
0.65 |
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Viviana Power Tech Semi-Annual Data
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Mar20 |
Mar21 |
Sep21 |
Mar22 |
Sep22 |
Mar23 |
Sep23 |
Mar24 |
Sep24 |
Mar25 |
| Beneish M-Score |
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0.81 |
0.00 |
-0.99 |
0.00 |
0.65 |
NSE:VIVIANA vs PWR, FIX, EME: Beneish M-Score Comparison
For the Engineering & Construction subindustry, Viviana Power Tech'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.
Viviana Power Tech Beneish M-Score vs Construction Industry
For the Construction industry and Industrials sector, Viviana Power Tech's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Viviana Power Tech's Beneish M-Score falls into.
Viviana Power Tech 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 Viviana Power Tech 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 * 1.3513 | + | 0.528 * 1.3545 | + | 0.404 * 1.1383 | + | 0.892 * 3.3531 | + | 0.115 * 0.9178 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.8409 | + | 4.679 * 0.158594 | - | 0.327 * 1.3671 |
| = | 0.65 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was ₹1,244 Mil.
Revenue was ₹2,187 Mil.
Gross Profit was ₹420 Mil.
Total Current Assets was ₹1,432 Mil.
Total Assets was ₹2,137 Mil.
Property, Plant and Equipment(Net PPE) was ₹15 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹4 Mil.
Selling, General, & Admin. Expense(SGA) was ₹17 Mil.
Total Current Liabilities was ₹1,422 Mil.
Long-Term Debt & Capital Lease Obligation was ₹109 Mil.
Net Income was ₹198 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-141 Mil.
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Total Receivables was ₹274 Mil.
Revenue was ₹652 Mil.
Gross Profit was ₹170 Mil.
Total Current Assets was ₹364 Mil.
Total Assets was ₹523 Mil.
Property, Plant and Equipment(Net PPE) was ₹11 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2 Mil.
Selling, General, & Admin. Expense(SGA) was ₹3 Mil.
Total Current Liabilities was ₹256 Mil.
Long-Term Debt & Capital Lease Obligation was ₹18 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) |
| = | (1243.561 / 2186.734) | / | (274.445 / 652.156) |
| = | 0.568684 | / | 0.420827 |
| | = | 1.3513 |
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) |
| = | (169.7 / 652.156) | / | (420.095 / 2186.734) |
| = | 0.260214 | / | 0.192111 |
| | = | 1.3545 |
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 - (1432.396 + 15.01) / 2137.401) | / | (1 - (363.839 + 11.035) / 523.272) |
| = | 0.32282 | / | 0.283596 |
| | = | 1.1383 |
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 |
| = | 2186.734 | / | 652.156 |
| | = | 3.3531 |
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)) |
| = | (2.436 / (2.436 + 11.035)) | / | (3.683 / (3.683 + 15.01)) |
| = | 0.180833 | / | 0.197026 |
| | = | 0.9178 |
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) |
| = | (17.047 / 2186.734) | / | (2.762 / 652.156) |
| = | 0.007796 | / | 0.004235 |
| | = | 1.8409 |
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) |
| = | ((108.717 + 1421.811) / 2137.401) | / | ((18.165 + 255.925) / 523.272) |
| = | 0.71607 | / | 0.5238 |
| | = | 1.3671 |
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 |
| = | (197.841 - 0 | - | -141.138) | / | 2137.401 |
| | = | 0.158594 |
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.
Viviana Power Tech has a M-score of 0.65 signals that the company is likely to be a manipulator.
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