CES Beneish M-Score Historical Data
The historical data trend for CES'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.
CES Beneish M-Score Chart
|
CES Annual Data
|
|
Trend |
Jun14 |
Mar15 |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-3.80 |
-2.14 |
-3.03 |
-2.14 |
-2.41 |
|
CES Semi-Annual Data
|
|
Jun09 |
Jun10 |
Jun11 |
Jun12 |
Jun13 |
Jun14 |
Mar16 |
Mar17 |
Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
-3.80 |
-2.14 |
-3.03 |
-2.14 |
-2.41 |
Competitive Comparison of CES's Beneish M-Score
For the Information Technology Services subindustry, CES'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.
CES's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, CES's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where CES's Beneish M-Score falls into.
CES 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 CES 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 * 1.097 | + | 0.528 * 1.1055 | + | 0.404 * 0.7771 | + | 0.892 * 1.0839 | + | 0.115 * 1.2177 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9861 | + | 4.679 * -0.017942 | - | 0.327 * 1.0197 |
| = | -2.41 |
* 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 (Mar23) TTM: | Last Year (Mar22) TTM: |
Total Receivables was ₹860 Mil.
Revenue was ₹4,265 Mil.
Gross Profit was ₹2,252 Mil.
Total Current Assets was ₹2,515 Mil.
Total Assets was ₹3,151 Mil.
Property, Plant and Equipment(Net PPE) was ₹407 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹44 Mil.
Selling, General, & Admin. Expense(SGA) was ₹1,499 Mil.
Total Current Liabilities was ₹1,015 Mil.
Long-Term Debt & Capital Lease Obligation was ₹50 Mil.
Net Income was ₹195 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹252 Mil.
|
Total Receivables was ₹723 Mil.
Revenue was ₹3,935 Mil.
Gross Profit was ₹2,297 Mil.
Total Current Assets was ₹2,014 Mil.
Total Assets was ₹2,665 Mil.
Property, Plant and Equipment(Net PPE) was ₹402 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹54 Mil.
Selling, General, & Admin. Expense(SGA) was ₹1,402 Mil.
Total Current Liabilities was ₹849 Mil.
Long-Term Debt & Capital Lease Obligation was ₹34 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) |
| = | (859.766 / 4264.523) | / | (723.071 / 3934.507) |
| = | 0.201609 | / | 0.183777 |
| | = | 1.097 |
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) |
| = | (2296.882 / 3934.507) | / | (2252.022 / 4264.523) |
| = | 0.583779 | / | 0.528083 |
| | = | 1.1055 |
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 - (2514.646 + 407.388) / 3151.112) | / | (1 - (2013.759 + 401.967) / 2665.058) |
| = | 0.072698 | / | 0.093556 |
| | = | 0.7771 |
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 |
| = | 4264.523 | / | 3934.507 |
| | = | 1.0839 |
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)) |
| = | (54.335 / (54.335 + 401.967)) | / | (44.156 / (44.156 + 407.388)) |
| = | 0.119077 | / | 0.097789 |
| | = | 1.2177 |
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) |
| = | (1498.856 / 4264.523) | / | (1402.397 / 3934.507) |
| = | 0.351471 | / | 0.356435 |
| | = | 0.9861 |
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) |
| = | ((49.867 + 1014.914) / 3151.112) | / | ((34.113 + 848.987) / 2665.058) |
| = | 0.337906 | / | 0.331362 |
| | = | 1.0197 |
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 |
| = | (195.143 - 0 | - | 251.679) | / | 3151.112 |
| | = | -0.017942 |
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.
CES has a M-score of -2.41 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
BOM:512341 has been successfully added to your