Cyient Beneish M-Score Historical Data
The historical data trend for Cyient'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.
Cyient Beneish M-Score Chart
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Cyient Annual Data
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Mar24 |
| Beneish M-Score |
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-2.51 |
-3.03 |
-2.55 |
-2.03 |
-2.26 |
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Cyient Quarterly Data
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| Beneish M-Score |
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-2.26 |
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Competitive Comparison of Cyient's Beneish M-Score
For the Conglomerates subindustry, Cyient'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.
Cyient's Beneish M-Score Distribution in the Conglomerates Industry
For the Conglomerates industry and Industrials sector, Cyient's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Cyient's Beneish M-Score falls into.
Cyient 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 Cyient 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 * 0.9243 | + | 0.528 * 1.0147 | + | 0.404 * 0.9494 | + | 0.892 * 1.1881 | + | 0.115 * 1.018 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.5461 | + | 4.679 * -0.006183 | - | 0.327 * 0.7523 |
| = | -2.26 |
* 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 ₹17,352 Mil.
Revenue was ₹71,472 Mil.
Gross Profit was ₹29,815 Mil.
Total Current Assets was ₹35,591 Mil.
Total Assets was ₹70,036 Mil.
Property, Plant and Equipment(Net PPE) was ₹7,749 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2,667 Mil.
Selling, General, & Admin. Expense(SGA) was ₹2,077 Mil.
Total Current Liabilities was ₹16,581 Mil.
Long-Term Debt & Capital Lease Obligation was ₹5,248 Mil.
Net Income was ₹6,828 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹7,261 Mil.
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Total Receivables was ₹15,802 Mil.
Revenue was ₹60,159 Mil.
Gross Profit was ₹25,464 Mil.
Total Current Assets was ₹31,913 Mil.
Total Assets was ₹65,481 Mil.
Property, Plant and Equipment(Net PPE) was ₹7,278 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹2,566 Mil.
Selling, General, & Admin. Expense(SGA) was ₹3,201 Mil.
Total Current Liabilities was ₹20,231 Mil.
Long-Term Debt & Capital Lease Obligation was ₹6,899 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) |
| = | (17352 / 71472) | / | (15802 / 60159) |
| = | 0.24278 | / | 0.262671 |
| | = | 0.9243 |
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) |
| = | (25464 / 60159) | / | (29815 / 71472) |
| = | 0.423278 | / | 0.417156 |
| | = | 1.0147 |
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 - (35591 + 7749) / 70036) | / | (1 - (31913 + 7278) / 65481) |
| = | 0.381175 | / | 0.401491 |
| | = | 0.9494 |
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 |
| = | 71472 | / | 60159 |
| | = | 1.1881 |
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)) |
| = | (2566 / (2566 + 7278)) | / | (2667 / (2667 + 7749)) |
| = | 0.260666 | / | 0.256048 |
| | = | 1.018 |
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) |
| = | (2077 / 71472) | / | (3201 / 60159) |
| = | 0.02906 | / | 0.053209 |
| | = | 0.5461 |
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) |
| = | ((5248 + 16581) / 70036) | / | ((6899 + 20231) / 65481) |
| = | 0.311683 | / | 0.414319 |
| | = | 0.7523 |
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 |
| = | (6828 - 0 | - | 7261) | / | 70036 |
| | = | -0.006183 |
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.
Cyient has a M-score of -2.26 suggests that the company is unlikely to be a manipulator.
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