News Beneish M-Score Historical Data
The historical data trend for News'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.
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News Annual Data
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Trend |
Jun14 |
Jun15 |
Jun16 |
Jun17 |
Jun18 |
Jun19 |
Jun20 |
Jun21 |
Jun22 |
Jun23 |
| Beneish M-Score |
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-2.68 |
-2.86 |
-2.54 |
-2.64 |
-2.72 |
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News Quarterly Data
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Mar19 |
Jun19 |
Sep19 |
Dec19 |
Mar20 |
Jun20 |
Sep20 |
Dec20 |
Mar21 |
Jun21 |
Sep21 |
Dec21 |
Mar22 |
Jun22 |
Sep22 |
Dec22 |
Mar23 |
Jun23 |
Sep23 |
Dec23 |
| Beneish M-Score |
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-2.64 |
-2.63 |
-2.72 |
-2.61 |
-2.76 |
Competitive Comparison
For the Entertainment subindustry, News'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.
News Beneish M-Score Distribution
For the Media - Diversified industry and Communication Services sector, News's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where News's Beneish M-Score falls into.
News 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 News 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 * 0.9452 | + | 0.528 * 1 | + | 0.404 * 0.9748 | + | 0.892 * 0.9803 | + | 0.115 * 0.977 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9603 | + | 4.679 * -0.045681 | - | 0.327 * 0.988 |
| = | -2.76 |
* 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 $1,516 Mil.
Revenue was 2586 + 2499 + 2433 + 2447 = $9,965 Mil.
Gross Profit was 2586 + 2499 + 2433 + 2447 = $9,965 Mil.
Total Current Assets was $4,003 Mil.
Total Assets was $16,681 Mil.
Property, Plant and Equipment(Net PPE) was $2,992 Mil.
Depreciation, Depletion and Amortization(DDA) was $711 Mil.
Selling, General, & Admin. Expense(SGA) was $3,356 Mil.
Total Current Liabilities was $2,784 Mil.
Long-Term Debt & Capital Lease Obligation was $4,074 Mil.
Net Income was 156 + 30 + -8 + 50 = $228 Mil.
Non Operating Income was 8 + -75 + -158 + -21 = $-246 Mil.
Cash Flow from Operations was 360 + -55 + 422 + 509 = $1,236 Mil.
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Total Receivables was $1,636 Mil.
Revenue was 2521 + 2478 + 2674 + 2492 = $10,165 Mil.
Gross Profit was 2521 + 2478 + 2674 + 2492 = $10,165 Mil.
Total Current Assets was $3,763 Mil.
Total Assets was $16,891 Mil.
Property, Plant and Equipment(Net PPE) was $3,066 Mil.
Depreciation, Depletion and Amortization(DDA) was $708 Mil.
Selling, General, & Admin. Expense(SGA) was $3,565 Mil.
Total Current Liabilities was $2,939 Mil.
Long-Term Debt & Capital Lease Obligation was $4,090 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) |
| = | (1516 / 9965) | / | (1636 / 10165) |
| = | 0.152132 | / | 0.160944 |
| | = | 0.9452 |
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) |
| = | (10165 / 10165) | / | (9965 / 9965) |
| = | 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 - (4003 + 2992) / 16681) | / | (1 - (3763 + 3066) / 16891) |
| = | 0.580661 | / | 0.595702 |
| | = | 0.9748 |
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 |
| = | 9965 | / | 10165 |
| | = | 0.9803 |
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)) |
| = | (708 / (708 + 3066)) | / | (711 / (711 + 2992)) |
| = | 0.187599 | / | 0.192006 |
| | = | 0.977 |
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) |
| = | (3356 / 9965) | / | (3565 / 10165) |
| = | 0.336779 | / | 0.350713 |
| | = | 0.9603 |
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) |
| = | ((4074 + 2784) / 16681) | / | ((4090 + 2939) / 16891) |
| = | 0.411126 | / | 0.416139 |
| | = | 0.988 |
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 |
| = | (228 - -246 | - | 1236) | / | 16681 |
| | = | -0.045681 |
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.
News has a M-score of -2.76 suggests that the company is unlikely to be a manipulator.
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