T-Mobile US Beneish M-Score Historical Data
The historical data trend for T-Mobile US'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.
T-Mobile US Beneish M-Score Chart
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T-Mobile US Annual Data
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Trend |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
Dec24 |
| Beneish M-Score |
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-1.95 |
-2.52 |
-2.69 |
-2.81 |
-2.77 |
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T-Mobile US Quarterly Data
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Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
Mar25 |
| Beneish M-Score |
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-2.87 |
-2.85 |
-2.84 |
-2.77 |
-2.72 |
Competitive Comparison of T-Mobile US's Beneish M-Score
For the Telecom Services subindustry, T-Mobile US'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.
T-Mobile US's Beneish M-Score Distribution in the Telecommunication Services Industry
For the Telecommunication Services industry and Communication Services sector, T-Mobile US's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where T-Mobile US's Beneish M-Score falls into.
T-Mobile US 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 T-Mobile US 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 * 0.9923 | + | 0.528 * 0.9766 | + | 0.404 * 0.99 | + | 0.892 * 1.0531 | + | 0.115 * 0.9746 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9561 | + | 4.679 * -0.056771 | - | 0.327 * 1.0046 |
| = | -2.72 |
* 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 (Mar25) TTM: | Last Year (Mar24) TTM: |
Total Receivables was $8,686 Mil.
Revenue was 20886 + 21872 + 20162 + 19772 = $82,692 Mil.
Gross Profit was 13486 + 13087 + 13133 + 13020 = $52,726 Mil.
Total Current Assets was $27,441 Mil.
Total Assets was $214,633 Mil.
Property, Plant and Equipment(Net PPE) was $65,899 Mil.
Depreciation, Depletion and Amortization(DDA) was $12,746 Mil.
Selling, General, & Admin. Expense(SGA) was $21,168 Mil.
Total Current Liabilities was $23,629 Mil.
Long-Term Debt & Capital Lease Obligation was $108,255 Mil.
Net Income was 2953 + 2981 + 3059 + 2925 = $11,918 Mil.
Non Operating Income was -46 + 94 + 7 + -8 = $47 Mil.
Cash Flow from Operations was 6847 + 5549 + 6139 + 5521 = $24,056 Mil.
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Total Receivables was $8,312 Mil.
Revenue was 19594 + 20478 + 19252 + 19196 = $78,520 Mil.
Gross Profit was 12507 + 12078 + 12117 + 12192 = $48,894 Mil.
Total Current Assets was $19,295 Mil.
Total Assets was $206,268 Mil.
Property, Plant and Equipment(Net PPE) was $69,232 Mil.
Depreciation, Depletion and Amortization(DDA) was $12,986 Mil.
Selling, General, & Admin. Expense(SGA) was $21,024 Mil.
Total Current Liabilities was $20,563 Mil.
Long-Term Debt & Capital Lease Obligation was $105,598 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) |
| = | (8686 / 82692) | / | (8312 / 78520) |
| = | 0.10504 | / | 0.105858 |
| | = | 0.9923 |
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) |
| = | (48894 / 78520) | / | (52726 / 82692) |
| = | 0.622695 | / | 0.637619 |
| | = | 0.9766 |
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 - (27441 + 65899) / 214633) | / | (1 - (19295 + 69232) / 206268) |
| = | 0.565118 | / | 0.570816 |
| | = | 0.99 |
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 |
| = | 82692 | / | 78520 |
| | = | 1.0531 |
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)) |
| = | (12986 / (12986 + 69232)) | / | (12746 / (12746 + 65899)) |
| = | 0.157946 | / | 0.16207 |
| | = | 0.9746 |
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) |
| = | (21168 / 82692) | / | (21024 / 78520) |
| = | 0.255986 | / | 0.267753 |
| | = | 0.9561 |
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) |
| = | ((108255 + 23629) / 214633) | / | ((105598 + 20563) / 206268) |
| = | 0.614463 | / | 0.611636 |
| | = | 1.0046 |
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 |
| = | (11918 - 47 | - | 24056) | / | 214633 |
| | = | -0.056771 |
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.
T-Mobile US has a M-score of -2.72 suggests that the company is unlikely to be a manipulator.
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