Fox Beneish M-Score Historical Data
The historical data trend for Fox'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.
Fox Beneish M-Score Chart
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Fox Annual Data
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Trend |
Jun16 |
Jun17 |
Jun18 |
Jun19 |
Jun20 |
Jun21 |
Jun22 |
Jun23 |
Jun24 |
| Beneish M-Score |
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-2.71 |
-2.65 |
-2.47 |
-2.41 |
-2.43 |
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Fox Quarterly Data
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Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
Mar24 |
Jun24 |
Sep24 |
Dec24 |
| Beneish M-Score |
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-2.45 |
-2.50 |
-2.43 |
-2.42 |
-2.32 |
Competitive Comparison of Fox's Beneish M-Score
For the Entertainment subindustry, Fox'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.
Fox's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, Fox's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Fox's Beneish M-Score falls into.
Fox 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 Fox 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 * 1.1158 | + | 0.528 * 1 | + | 0.404 * 1.0335 | + | 0.892 * 1.0429 | + | 0.115 * 1.0241 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9826 | + | 4.679 * -0.007167 | - | 0.327 * 0.9041 |
| = | -2.32 |
* 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 (Dec24) TTM: | Last Year (Dec23) TTM: |
Total Receivables was $3,492 Mil.
Revenue was 5078 + 3564 + 3092 + 3447 = $15,181 Mil.
Gross Profit was 5078 + 3564 + 3092 + 3447 = $15,181 Mil.
Total Current Assets was $8,237 Mil.
Total Assets was $23,022 Mil.
Property, Plant and Equipment(Net PPE) was $2,543 Mil.
Depreciation, Depletion and Amortization(DDA) was $384 Mil.
Selling, General, & Admin. Expense(SGA) was $2,076 Mil.
Total Current Liabilities was $3,297 Mil.
Long-Term Debt & Capital Lease Obligation was $7,452 Mil.
Net Income was 373 + 827 + 319 + 666 = $2,185 Mil.
Non Operating Income was -85 + 210 + -173 + 227 = $179 Mil.
Cash Flow from Operations was -362 + 158 + 899 + 1476 = $2,171 Mil.
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Total Receivables was $3,001 Mil.
Revenue was 4234 + 3207 + 3032 + 4084 = $14,557 Mil.
Gross Profit was 4234 + 3207 + 3032 + 4084 = $14,557 Mil.
Total Current Assets was $8,501 Mil.
Total Assets was $22,846 Mil.
Property, Plant and Equipment(Net PPE) was $2,590 Mil.
Depreciation, Depletion and Amortization(DDA) was $402 Mil.
Selling, General, & Admin. Expense(SGA) was $2,026 Mil.
Total Current Liabilities was $3,707 Mil.
Long-Term Debt & Capital Lease Obligation was $8,091 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) |
| = | (3492 / 15181) | / | (3001 / 14557) |
| = | 0.230024 | / | 0.206155 |
| | = | 1.1158 |
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) |
| = | (14557 / 14557) | / | (15181 / 15181) |
| = | 1 | / | 1 |
| | = | 1 |
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 - (8237 + 2543) / 23022) | / | (1 - (8501 + 2590) / 22846) |
| = | 0.531752 | / | 0.514532 |
| | = | 1.0335 |
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 |
| = | 15181 | / | 14557 |
| | = | 1.0429 |
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)) |
| = | (402 / (402 + 2590)) | / | (384 / (384 + 2543)) |
| = | 0.134358 | / | 0.131192 |
| | = | 1.0241 |
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) |
| = | (2076 / 15181) | / | (2026 / 14557) |
| = | 0.13675 | / | 0.139177 |
| | = | 0.9826 |
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) |
| = | ((7452 + 3297) / 23022) | / | ((8091 + 3707) / 22846) |
| = | 0.466901 | / | 0.516414 |
| | = | 0.9041 |
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 |
| = | (2185 - 179 | - | 2171) | / | 23022 |
| | = | -0.007167 |
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.
Fox has a M-score of -2.32 suggests that the company is unlikely to be a manipulator.
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