Vishnu Prakash R Punglia Beneish M-Score Historical Data
The historical data trend for Vishnu Prakash R Punglia'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.
Vishnu Prakash R Punglia Beneish M-Score Chart
|
Vishnu Prakash R Punglia Annual Data
|
|
Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
- |
- |
-1.89 |
-1.44 |
0.39 |
|
Vishnu Prakash R Punglia Quarterly Data
|
|
Mar20 |
Mar21 |
Mar22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
- |
0.39 |
- |
- |
- |
Competitive Comparison of Vishnu Prakash R Punglia's Beneish M-Score
For the Engineering & Construction subindustry, Vishnu Prakash R Punglia'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.
Vishnu Prakash R Punglia's Beneish M-Score Distribution in the Construction Industry
For the Construction industry and Industrials sector, Vishnu Prakash R Punglia's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Vishnu Prakash R Punglia's Beneish M-Score falls into.
Vishnu Prakash R Punglia 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 Vishnu Prakash R Punglia 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 * 2.5506 | + | 0.528 * 0.9146 | + | 0.404 * 0.6997 | + | 0.892 * 1.2562 | + | 0.115 * 0.8225 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.8511 | + | 4.679 * 0.28435 | - | 0.327 * 0.8616 |
| = | 0.39 |
* 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 ₹6,740 Mil.
Revenue was ₹14,671 Mil.
Gross Profit was ₹2,661 Mil.
Total Current Assets was ₹13,432 Mil.
Total Assets was ₹15,418 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,725 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹112 Mil.
Selling, General, & Admin. Expense(SGA) was ₹59 Mil.
Total Current Liabilities was ₹7,907 Mil.
Long-Term Debt & Capital Lease Obligation was ₹250 Mil.
Net Income was ₹1,222 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-3,162 Mil.
|
Total Receivables was ₹2,104 Mil.
Revenue was ₹11,679 Mil.
Gross Profit was ₹1,937 Mil.
Total Current Assets was ₹6,731 Mil.
Total Assets was ₹8,255 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,324 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹70 Mil.
Selling, General, & Admin. Expense(SGA) was ₹55 Mil.
Total Current Liabilities was ₹4,466 Mil.
Long-Term Debt & Capital Lease Obligation was ₹603 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) |
| = | (6740.49 / 14671.15) | / | (2103.75 / 11679.04) |
| = | 0.459438 | / | 0.18013 |
| | = | 2.5506 |
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) |
| = | (1937.15 / 11679.04) | / | (2660.54 / 14671.15) |
| = | 0.165866 | / | 0.181345 |
| | = | 0.9146 |
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 - (13432.4 + 1724.73) / 15418.3) | / | (1 - (6730.91 + 1324.09) / 8254.83) |
| = | 0.016939 | / | 0.024208 |
| | = | 0.6997 |
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 |
| = | 14671.15 | / | 11679.04 |
| | = | 1.2562 |
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)) |
| = | (69.76 / (69.76 + 1324.09)) | / | (111.75 / (111.75 + 1724.73)) |
| = | 0.050048 | / | 0.06085 |
| | = | 0.8225 |
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) |
| = | (59.23 / 14671.15) | / | (55.39 / 11679.04) |
| = | 0.004037 | / | 0.004743 |
| | = | 0.8511 |
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) |
| = | ((250.25 + 7906.88) / 15418.3) | / | ((602.97 + 4465.87) / 8254.83) |
| = | 0.529055 | / | 0.614045 |
| | = | 0.8616 |
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 |
| = | (1221.85 - 0 | - | -3162.35) | / | 15418.3 |
| | = | 0.28435 |
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.
Vishnu Prakash R Punglia has a M-score of 0.39 signals that the company is likely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
BOM:543974 has been successfully added to your