Blue Label Telecoms Beneish M-Score Historical Data
The historical data trend for Blue Label Telecoms'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.
Blue Label Telecoms Beneish M-Score Chart
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Blue Label Telecoms Annual Data
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Trend |
May15 |
May16 |
May17 |
May18 |
May19 |
May20 |
May21 |
May22 |
May23 |
May24 |
| Beneish M-Score |
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-3.21 |
-2.82 |
-2.17 |
-2.44 |
-2.02 |
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Blue Label Telecoms Semi-Annual Data
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May15 |
Nov15 |
May16 |
Nov16 |
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Nov18 |
May19 |
Nov19 |
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Nov23 |
May24 |
Nov24 |
| Beneish M-Score |
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-2.44 |
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-2.02 |
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Competitive Comparison of Blue Label Telecoms's Beneish M-Score
For the Telecom Services subindustry, Blue Label Telecoms'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.
Blue Label Telecoms's Beneish M-Score Distribution in the Telecommunication Services Industry
For the Telecommunication Services industry and Communication Services sector, Blue Label Telecoms's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Blue Label Telecoms's Beneish M-Score falls into.
Blue Label Telecoms 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 Blue Label Telecoms 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 * 1.5265 | + | 0.528 * 0.8157 | + | 0.404 * 0.9049 | + | 0.892 * 0.7717 | + | 0.115 * 1.0574 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1 | + | 4.679 * 0.062626 | - | 0.327 * 0.9441 |
| = | -2.02 |
* 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 (May24) TTM: | Last Year (May23) TTM: |
Total Receivables was R3,012 Mil.
Revenue was R14,598 Mil.
Gross Profit was R3,295 Mil.
Total Current Assets was R9,807 Mil.
Total Assets was R15,137 Mil.
Property, Plant and Equipment(Net PPE) was R258 Mil.
Depreciation, Depletion and Amortization(DDA) was R481 Mil.
Selling, General, & Admin. Expense(SGA) was R0 Mil.
Total Current Liabilities was R6,673 Mil.
Long-Term Debt & Capital Lease Obligation was R2,937 Mil.
Net Income was R647 Mil.
Gross Profit was R0 Mil.
Cash Flow from Operations was R-301 Mil.
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Total Receivables was R2,557 Mil.
Revenue was R18,918 Mil.
Gross Profit was R3,483 Mil.
Total Current Assets was R9,018 Mil.
Total Assets was R14,718 Mil.
Property, Plant and Equipment(Net PPE) was R249 Mil.
Depreciation, Depletion and Amortization(DDA) was R550 Mil.
Selling, General, & Admin. Expense(SGA) was R0 Mil.
Total Current Liabilities was R8,032 Mil.
Long-Term Debt & Capital Lease Obligation was R1,866 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) |
| = | (3011.511 / 14598.444) | / | (2556.621 / 18918.263) |
| = | 0.20629 | / | 0.13514 |
| | = | 1.5265 |
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) |
| = | (3483.075 / 18918.263) | / | (3295.038 / 14598.444) |
| = | 0.184112 | / | 0.225712 |
| | = | 0.8157 |
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 - (9806.556 + 257.737) / 15137.339) | / | (1 - (9018.238 + 248.939) / 14718.31) |
| = | 0.335135 | / | 0.370364 |
| | = | 0.9049 |
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 |
| = | 14598.444 | / | 18918.263 |
| | = | 0.7717 |
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)) |
| = | (549.557 / (549.557 + 248.939)) | / | (480.512 / (480.512 + 257.737)) |
| = | 0.68824 | / | 0.650881 |
| | = | 1.0574 |
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 / 14598.444) | / | (0 / 18918.263) |
| = | 0 | / | 0 |
| | = | 1 |
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) |
| = | ((2937.485 + 6673.349) / 15137.339) | / | ((1866.227 + 8031.576) / 14718.31) |
| = | 0.634909 | / | 0.672482 |
| | = | 0.9441 |
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 |
| = | (647.386 - 0 | - | -300.607) | / | 15137.339 |
| | = | 0.062626 |
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.
Blue Label Telecoms has a M-score of -2.02 suggests that the company is unlikely to be a manipulator.
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