E2E Networks Beneish M-Score Historical Data
The historical data trend for E2E Networks'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.
E2E Networks Beneish M-Score Chart
|
E2E Networks Annual Data
|
|
Trend |
Mar15 |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-1.97 |
-3.16 |
-4.04 |
-4.04 |
-2.68 |
|
E2E Networks Quarterly Data
|
|
Mar19 |
Sep19 |
Mar20 |
Sep20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
- |
-2.68 |
- |
- |
- |
Competitive Comparison of E2E Networks's Beneish M-Score
For the Software - Infrastructure subindustry, E2E Networks'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.
E2E Networks's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, E2E Networks's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where E2E Networks's Beneish M-Score falls into.
E2E Networks 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 E2E Networks 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 * 1.2599 | + | 0.528 * 0.946 | + | 0.404 * 0.3603 | + | 0.892 * 1.4269 | + | 0.115 * 5.6208 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.6806 | + | 4.679 * -0.082263 | - | 0.327 * 2.7057 |
| = | -2.68 |
* 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 ₹59 Mil.
Revenue was ₹945 Mil.
Gross Profit was ₹743 Mil.
Total Current Assets was ₹385 Mil.
Total Assets was ₹2,552 Mil.
Property, Plant and Equipment(Net PPE) was ₹1,982 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹157 Mil.
Selling, General, & Admin. Expense(SGA) was ₹27 Mil.
Total Current Liabilities was ₹572 Mil.
Long-Term Debt & Capital Lease Obligation was ₹1,179 Mil.
Net Income was ₹219 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹429 Mil.
|
Total Receivables was ₹33 Mil.
Revenue was ₹662 Mil.
Gross Profit was ₹493 Mil.
Total Current Assets was ₹261 Mil.
Total Assets was ₹684 Mil.
Property, Plant and Equipment(Net PPE) was ₹285 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹201 Mil.
Selling, General, & Admin. Expense(SGA) was ₹11 Mil.
Total Current Liabilities was ₹141 Mil.
Long-Term Debt & Capital Lease Obligation was ₹33 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) |
| = | (58.556 / 944.636) | / | (32.571 / 662.018) |
| = | 0.061988 | / | 0.0492 |
| | = | 1.2599 |
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) |
| = | (492.623 / 662.018) | / | (743.021 / 944.636) |
| = | 0.744123 | / | 0.786569 |
| | = | 0.946 |
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 - (385.403 + 1981.689) / 2552.356) | / | (1 - (261.343 + 284.925) / 684.073) |
| = | 0.072585 | / | 0.201448 |
| | = | 0.3603 |
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 |
| = | 944.636 | / | 662.018 |
| | = | 1.4269 |
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)) |
| = | (201.116 / (201.116 + 284.925)) | / | (157.479 / (157.479 + 1981.689)) |
| = | 0.413784 | / | 0.073617 |
| | = | 5.6208 |
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) |
| = | (26.54 / 944.636) | / | (11.067 / 662.018) |
| = | 0.028095 | / | 0.016717 |
| | = | 1.6806 |
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) |
| = | ((1178.953 + 571.802) / 2552.356) | / | ((32.677 + 140.745) / 684.073) |
| = | 0.685937 | / | 0.253514 |
| | = | 2.7057 |
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 |
| = | (218.669 - 0 | - | 428.633) | / | 2552.356 |
| | = | -0.082263 |
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.
E2E Networks has a M-score of -2.68 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
NSE:E2E has been successfully added to your