Netweb Technologies India Beneish M-Score Historical Data
The historical data trend for Netweb Technologies India'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.
Netweb Technologies India Beneish M-Score Chart
|
Netweb Technologies India Annual Data
|
|
Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
Mar25 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
- |
-1.35 |
-1.54 |
-1.49 |
-0.88 |
|
Netweb Technologies India Quarterly Data
|
|
Mar20 |
Mar21 |
Mar22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
-1.49 |
- |
- |
- |
-0.88 |
Competitive Comparison of Netweb Technologies India's Beneish M-Score
For the Computer Hardware subindustry, Netweb Technologies India'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.
Netweb Technologies India's Beneish M-Score Distribution in the Hardware Industry
For the Hardware industry and Technology sector, Netweb Technologies India's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Netweb Technologies India's Beneish M-Score falls into.
Netweb Technologies India 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 Netweb Technologies India 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 * 1.1532 | + | 0.528 * 1.0691 | + | 0.404 * 1.489 | + | 0.892 * 1.5869 | + | 0.115 * 0.6854 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * 0.142928 | - | 0.327 * 1.3228 |
| = | -0.88 |
* 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 ₹3,615 Mil.
Revenue was ₹11,490 Mil.
Gross Profit was ₹2,665 Mil.
Total Current Assets was ₹8,254 Mil.
Total Assets was ₹8,934 Mil.
Property, Plant and Equipment(Net PPE) was ₹531 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹113 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹3,536 Mil.
Long-Term Debt & Capital Lease Obligation was ₹57 Mil.
Net Income was ₹1,145 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-132 Mil.
|
Total Receivables was ₹1,976 Mil.
Revenue was ₹7,241 Mil.
Gross Profit was ₹1,795 Mil.
Total Current Assets was ₹5,600 Mil.
Total Assets was ₹6,125 Mil.
Property, Plant and Equipment(Net PPE) was ₹456 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹63 Mil.
Selling, General, & Admin. Expense(SGA) was ₹106 Mil.
Total Current Liabilities was ₹1,790 Mil.
Long-Term Debt & Capital Lease Obligation was ₹73 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) |
| = | (3615.31 / 11490.21) | / | (1975.58 / 7240.75) |
| = | 0.314643 | / | 0.272842 |
| | = | 1.1532 |
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) |
| = | (1795.3 / 7240.75) | / | (2664.81 / 11490.21) |
| = | 0.247944 | / | 0.23192 |
| | = | 1.0691 |
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 - (8253.81 + 531.03) / 8933.6) | / | (1 - (5600.44 + 455.75) / 6124.68) |
| = | 0.016652 | / | 0.011183 |
| | = | 1.489 |
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 |
| = | 11490.21 | / | 7240.75 |
| | = | 1.5869 |
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)) |
| = | (62.52 / (62.52 + 455.75)) | / | (113.43 / (113.43 + 531.03)) |
| = | 0.120632 | / | 0.176008 |
| | = | 0.6854 |
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) |
| = | (0 / 11490.21) | / | (105.53 / 7240.75) |
| = | 0 | / | 0.014574 |
| | = | 0 |
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) |
| = | ((57.05 + 3536.32) / 8933.6) | / | ((72.7 + 1789.68) / 6124.68) |
| = | 0.402231 | / | 0.304078 |
| | = | 1.3228 |
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 |
| = | (1144.75 - 0 | - | -132.11) | / | 8933.6 |
| | = | 0.142928 |
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.
Netweb Technologies India has a M-score of -0.88 signals that the company is likely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
NSE:NETWEB has been successfully added to your