Tata Technologies Beneish M-Score Historical Data
The historical data trend for Tata Technologies'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.
Tata Technologies Beneish M-Score Chart
|
Tata Technologies Annual Data
|
|
Trend |
Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
|
- |
- |
-1.66 |
-1.76 |
-1.95 |
|
Tata Technologies Quarterly Data
|
|
Mar20 |
Mar21 |
Dec21 |
Mar22 |
Sep22 |
Dec22 |
Mar23 |
Sep23 |
Dec23 |
Mar24 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
- |
-1.76 |
- |
- |
-1.95 |
Competitive Comparison of Tata Technologies's Beneish M-Score
For the Information Technology Services subindustry, Tata Technologies'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.
Tata Technologies's Beneish M-Score Distribution in the Software Industry
For the Software industry and Technology sector, Tata Technologies's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Tata Technologies's Beneish M-Score falls into.
Tata Technologies 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 Tata Technologies 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 * 0.9214 | + | 0.528 * 1.1091 | + | 0.404 * 1.0969 | + | 0.892 * 1.1588 | + | 0.115 * 0.9347 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7569 | + | 4.679 * 0.069024 | - | 0.327 * 0.992 |
| = | -1.95 |
* 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 ₹25,130 Mil.
Revenue was ₹51,132 Mil.
Gross Profit was ₹19,672 Mil.
Total Current Assets was ₹39,730 Mil.
Total Assets was ₹55,783 Mil.
Property, Plant and Equipment(Net PPE) was ₹3,103 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹1,059 Mil.
Selling, General, & Admin. Expense(SGA) was ₹5,481 Mil.
Total Current Liabilities was ₹21,228 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,050 Mil.
Net Income was ₹6,794 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹2,943 Mil.
|
Total Receivables was ₹23,537 Mil.
Revenue was ₹44,126 Mil.
Gross Profit was ₹18,829 Mil.
Total Current Assets was ₹37,975 Mil.
Total Assets was ₹52,015 Mil.
Property, Plant and Equipment(Net PPE) was ₹3,031 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹946 Mil.
Selling, General, & Admin. Expense(SGA) was ₹6,249 Mil.
Total Current Liabilities was ₹19,734 Mil.
Long-Term Debt & Capital Lease Obligation was ₹2,148 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) |
| = | (25129.5 / 51132.1) | / | (23536.9 / 44125.9) |
| = | 0.491462 | / | 0.533403 |
| | = | 0.9214 |
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) |
| = | (18828.8 / 44125.9) | / | (19671.5 / 51132.1) |
| = | 0.426706 | / | 0.384719 |
| | = | 1.1091 |
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 - (39730 + 3102.8) / 55783.2) | / | (1 - (37974.7 + 3030.9) / 52014.9) |
| = | 0.232156 | / | 0.211657 |
| | = | 1.0969 |
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 |
| = | 51132.1 | / | 44125.9 |
| | = | 1.1588 |
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)) |
| = | (945.5 / (945.5 + 3030.9)) | / | (1058.7 / (1058.7 + 3102.8)) |
| = | 0.237778 | / | 0.254403 |
| | = | 0.9347 |
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) |
| = | (5481 / 51132.1) | / | (6248.9 / 44125.9) |
| = | 0.107193 | / | 0.141615 |
| | = | 0.7569 |
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) |
| = | ((2050.1 + 21228.4) / 55783.2) | / | ((2147.6 + 19734.1) / 52014.9) |
| = | 0.417303 | / | 0.420681 |
| | = | 0.992 |
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 |
| = | (6793.7 - 0 | - | 2943.3) | / | 55783.2 |
| | = | 0.069024 |
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.
Tata Technologies has a M-score of -1.95 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
BOM:544028 has been successfully added to your