eClerx Services Beneish M-Score Historical Data
The historical data trend for eClerx Services'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.
eClerx Services Beneish M-Score Chart
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eClerx Services Annual Data
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Trend |
Mar15 |
Mar16 |
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Mar18 |
Mar19 |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-3.11 |
-2.58 |
-2.30 |
-2.17 |
-2.57 |
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eClerx Services Quarterly Data
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Jun19 |
Sep19 |
Dec19 |
Mar20 |
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Dec20 |
Mar21 |
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Sep21 |
Dec21 |
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Mar23 |
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Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
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-2.17 |
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-2.57 |
Competitive Comparison of eClerx Services's Beneish M-Score
For the Information Technology Services subindustry, eClerx Services'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.
eClerx Services's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, eClerx Services's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where eClerx Services's Beneish M-Score falls into.
eClerx Services 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 eClerx Services 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 * 0.723 | + | 0.528 * 1.0126 | + | 0.404 * 0.7564 | + | 0.892 * 1.1049 | + | 0.115 * 0.9979 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * -0.004929 | - | 0.327 * 0.9626 |
| = | -2.57 |
* 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 ₹4,960 Mil.
Revenue was ₹29,255 Mil.
Gross Profit was ₹11,213 Mil.
Total Current Assets was ₹19,497 Mil.
Total Assets was ₹29,290 Mil.
Property, Plant and Equipment(Net PPE) was ₹3,628 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,483 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹3,770 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,248 Mil.
Net Income was ₹5,115 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹5,259 Mil.
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Total Receivables was ₹6,209 Mil.
Revenue was ₹26,479 Mil.
Gross Profit was ₹10,277 Mil.
Total Current Assets was ₹13,714 Mil.
Total Assets was ₹22,877 Mil.
Property, Plant and Equipment(Net PPE) was ₹2,798 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,140 Mil.
Selling, General, & Admin. Expense(SGA) was ₹806 Mil.
Total Current Liabilities was ₹3,374 Mil.
Long-Term Debt & Capital Lease Obligation was ₹1,509 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) |
| = | (4959.99 / 29255.43) | / | (6208.95 / 26478.97) |
| = | 0.169541 | / | 0.234486 |
| | = | 0.723 |
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) |
| = | (10277.37 / 26478.97) | / | (11213.41 / 29255.43) |
| = | 0.388133 | / | 0.383293 |
| | = | 1.0126 |
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 - (19497.45 + 3628.38) / 29289.65) | / | (1 - (13714.12 + 2798.24) / 22877.44) |
| = | 0.210444 | / | 0.278225 |
| | = | 0.7564 |
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 |
| = | 29255.43 | / | 26478.97 |
| | = | 1.1049 |
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)) |
| = | (1140.14 / (1140.14 + 2798.24)) | / | (1482.72 / (1482.72 + 3628.38)) |
| = | 0.289495 | / | 0.290098 |
| | = | 0.9979 |
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 / 29255.43) | / | (806.12 / 26478.97) |
| = | 0 | / | 0.030444 |
| | = | 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) |
| = | ((2248.31 + 3769.55) / 29289.65) | / | ((1508.69 + 3374.41) / 22877.44) |
| = | 0.20546 | / | 0.213446 |
| | = | 0.9626 |
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 |
| = | (5114.56 - 0 | - | 5258.92) | / | 29289.65 |
| | = | -0.004929 |
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.
eClerx Services has a M-score of -2.57 suggests that the company is unlikely to be a manipulator.
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