FuboTV Beneish M-Score Historical Data
The historical data trend for FuboTV'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.
|
FuboTV Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
|
|
|
|
|
- |
33.25 |
-0.05 |
-3.44 |
-3.11 |
|
FuboTV Quarterly Data
|
|
Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-3.44 |
-2.04 |
-4.61 |
-4.02 |
-3.11 |
Competitive Comparison
For the Broadcasting subindustry, FuboTV'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.
FuboTV Beneish M-Score Distribution
For the Media - Diversified industry and Communication Services sector, FuboTV's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where FuboTV's Beneish M-Score falls into.
FuboTV 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 FuboTV 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 * 1.3455 | + | 0.528 * -0.6471 | + | 0.404 * 1.0434 | + | 0.892 * 1.3564 | + | 0.115 * 0.9999 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.7555 | + | 4.679 * -0.089658 | - | 0.327 * 1.1258 |
| = | -3.11 |
* 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 (Dec23) TTM: | Last Year (Dec22) TTM: |
Total Receivables was $80 Mil.
Revenue was 410.181 + 320.935 + 312.735 + 324.374 = $1,368 Mil.
Gross Profit was 39.781 + 19.68 + 23.455 + 3.232 = $86 Mil.
Total Current Assets was $387 Mil.
Total Assets was $1,233 Mil.
Property, Plant and Equipment(Net PPE) was $41 Mil.
Depreciation, Depletion and Amortization(DDA) was $40 Mil.
Selling, General, & Admin. Expense(SGA) was $271 Mil.
Total Current Liabilities was $517 Mil.
Long-Term Debt & Capital Lease Obligation was $430 Mil.
Net Income was -70.09 + -83.811 + -49.94 + -83.613 = $-287 Mil.
Non Operating Income was 1.859 + -0.318 + -0.713 + -0.144 = $1 Mil.
Cash Flow from Operations was -2.065 + -26.258 + -71.11 + -78.189 = $-178 Mil.
|
Total Receivables was $44 Mil.
Revenue was 319.315 + 224.989 + 222.072 + 242.32 = $1,009 Mil.
Gross Profit was 2.612 + -6.085 + -13.985 + -23.638 = $-41 Mil.
Total Current Assets was $437 Mil.
Total Assets was $1,278 Mil.
Property, Plant and Equipment(Net PPE) was $41 Mil.
Depreciation, Depletion and Amortization(DDA) was $40 Mil.
Selling, General, & Admin. Expense(SGA) was $265 Mil.
Total Current Liabilities was $439 Mil.
Long-Term Debt & Capital Lease Obligation was $433 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) |
| = | (80.299 / 1368.225) | / | (43.996 / 1008.696) |
| = | 0.058688 | / | 0.043617 |
| | = | 1.3455 |
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) |
| = | (-41.096 / 1008.696) | / | (86.148 / 1368.225) |
| = | -0.040742 | / | 0.062963 |
| | = | -0.6471 |
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 - (386.754 + 40.66) / 1232.64) | / | (1 - (436.902 + 40.863) / 1277.774) |
| = | 0.653253 | / | 0.626096 |
| | = | 1.0434 |
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 |
| = | 1368.225 | / | 1008.696 |
| | = | 1.3564 |
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)) |
| = | (39.809 / (39.809 + 40.863)) | / | (39.622 / (39.622 + 40.66)) |
| = | 0.493467 | / | 0.493535 |
| | = | 0.9999 |
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) |
| = | (271.327 / 1368.225) | / | (264.767 / 1008.696) |
| = | 0.198306 | / | 0.262484 |
| | = | 0.7555 |
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) |
| = | ((429.835 + 517.345) / 1232.64) | / | ((433.36 + 438.754) / 1277.774) |
| = | 0.768416 | / | 0.682526 |
| | = | 1.1258 |
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 |
| = | (-287.454 - 0.684 | - | -177.622) | / | 1232.64 |
| | = | -0.089658 |
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.
FuboTV has a M-score of -3.11 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
FUBO has been successfully added to your