Hathway Cable & Datacom Beneish M-Score Historical Data
The historical data trend for Hathway Cable & Datacom'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.
Hathway Cable & Datacom Beneish M-Score Chart
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Hathway Cable & Datacom Annual Data
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Mar15 |
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Mar20 |
Mar21 |
Mar22 |
Mar23 |
Mar24 |
| Beneish M-Score |
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-3.28 |
-2.49 |
-0.72 |
-2.22 |
-1.79 |
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Hathway Cable & Datacom Quarterly Data
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Jun19 |
Sep19 |
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Mar24 |
| Beneish M-Score |
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-2.22 |
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-1.79 |
Competitive Comparison of Hathway Cable & Datacom's Beneish M-Score
For the Entertainment subindustry, Hathway Cable & Datacom'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.
Hathway Cable & Datacom's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, Hathway Cable & Datacom's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Hathway Cable & Datacom's Beneish M-Score falls into.
Hathway Cable & Datacom 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 Hathway Cable & Datacom 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 * 0.9763 | + | 0.528 * 1.1015 | + | 0.404 * 0.8875 | + | 0.892 * 1.0659 | + | 0.115 * 0.9625 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0 | + | 4.679 * 0.10253 | - | 0.327 * 1.0147 |
| = | -1.79 |
* 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 ₹1,811 Mil.
Revenue was ₹19,810 Mil.
Gross Profit was ₹10,621 Mil.
Total Current Assets was ₹22,091 Mil.
Total Assets was ₹49,634 Mil.
Property, Plant and Equipment(Net PPE) was ₹13,495 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹3,542 Mil.
Selling, General, & Admin. Expense(SGA) was ₹0 Mil.
Total Current Liabilities was ₹6,378 Mil.
Long-Term Debt & Capital Lease Obligation was ₹126 Mil.
Net Income was ₹993 Mil.
Gross Profit was ₹0 Mil.
Cash Flow from Operations was ₹-4,096 Mil.
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Total Receivables was ₹1,741 Mil.
Revenue was ₹18,584 Mil.
Gross Profit was ₹10,975 Mil.
Total Current Assets was ₹18,629 Mil.
Total Assets was ₹48,309 Mil.
Property, Plant and Equipment(Net PPE) was ₹14,273 Mil.
Depreciation, Depletion and Amortization(DDA) was ₹3,571 Mil.
Selling, General, & Admin. Expense(SGA) was ₹434 Mil.
Total Current Liabilities was ₹6,206 Mil.
Long-Term Debt & Capital Lease Obligation was ₹34 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) |
| = | (1811.3 / 19809.7) | / | (1740.6 / 18584.4) |
| = | 0.091435 | / | 0.093659 |
| | = | 0.9763 |
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) |
| = | (10975.3 / 18584.4) | / | (10621.3 / 19809.7) |
| = | 0.590565 | / | 0.536167 |
| | = | 1.1015 |
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 - (22091.4 + 13494.5) / 49634.1) | / | (1 - (18628.9 + 14273.1) / 48309.1) |
| = | 0.283035 | / | 0.318927 |
| | = | 0.8875 |
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 |
| = | 19809.7 | / | 18584.4 |
| | = | 1.0659 |
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)) |
| = | (3570.7 / (3570.7 + 14273.1)) | / | (3541.8 / (3541.8 + 13494.5)) |
| = | 0.200109 | / | 0.207897 |
| | = | 0.9625 |
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 / 19809.7) | / | (433.5 / 18584.4) |
| = | 0 | / | 0.023326 |
| | = | 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) |
| = | ((126 + 6378.4) / 49634.1) | / | ((33.5 + 6205.6) / 48309.1) |
| = | 0.131047 | / | 0.12915 |
| | = | 1.0147 |
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 |
| = | (993.1 - 0 | - | -4095.9) | / | 49634.1 |
| | = | 0.10253 |
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.
Hathway Cable & Datacom has a M-score of -1.79 suggests that the company is unlikely to be a manipulator.
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