Tegna Beneish M-Score Historical Data
The historical data trend for Tegna'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.
Tegna Beneish M-Score Chart
|
Tegna Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-2.15 |
-2.67 |
-2.30 |
-2.58 |
-2.62 |
|
Tegna 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 |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
-2.58 |
-2.60 |
-2.63 |
-2.54 |
-2.62 |
Competitive Comparison of Tegna's Beneish M-Score
For the Broadcasting subindustry, Tegna'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.
Tegna's Beneish M-Score Distribution in the Media - Diversified Industry
For the Media - Diversified industry and Communication Services sector, Tegna's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Tegna's Beneish M-Score falls into.
Tegna 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 Tegna 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 * 1.0627 | + | 0.528 * 1.181 | + | 0.404 * 1.0345 | + | 0.892 * 0.8877 | + | 0.115 * 1.0404 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 1.1344 | + | 4.679 * -0.037364 | - | 0.327 * 1.0559 |
| = | -2.62 |
* 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 $634 Mil.
Revenue was 725.854 + 713.243 + 731.506 + 740.327 = $2,911 Mil.
Gross Profit was 302.717 + 274.983 + 300.978 + 313.395 = $1,192 Mil.
Total Current Assets was $1,050 Mil.
Total Assets was $7,000 Mil.
Property, Plant and Equipment(Net PPE) was $526 Mil.
Depreciation, Depletion and Amortization(DDA) was $113 Mil.
Selling, General, & Admin. Expense(SGA) was $478 Mil.
Total Current Liabilities was $423 Mil.
Long-Term Debt & Capital Lease Obligation was $3,147 Mil.
Net Income was 75.643 + 95.901 + 199.741 + 103.668 = $475 Mil.
Non Operating Income was -26.875 + 32.816 + 138.139 + 5.174 = $149 Mil.
Cash Flow from Operations was 178.41 + 101.354 + 137.098 + 170.387 = $587 Mil.
|
Total Receivables was $672 Mil.
Revenue was 917.13 + 803.111 + 784.881 + 774.123 = $3,279 Mil.
Gross Profit was 484.485 + 374.22 + 364.646 + 362.673 = $1,586 Mil.
Total Current Assets was $1,304 Mil.
Total Assets was $7,329 Mil.
Property, Plant and Equipment(Net PPE) was $536 Mil.
Depreciation, Depletion and Amortization(DDA) was $121 Mil.
Selling, General, & Admin. Expense(SGA) was $475 Mil.
Total Current Liabilities was $391 Mil.
Long-Term Debt & Capital Lease Obligation was $3,149 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) |
| = | (633.744 / 2910.93) | / | (671.811 / 3279.245) |
| = | 0.217712 | / | 0.204868 |
| | = | 1.0627 |
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) |
| = | (1586.024 / 3279.245) | / | (1192.073 / 2910.93) |
| = | 0.483655 | / | 0.409516 |
| | = | 1.181 |
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 - (1050.318 + 525.659) / 7000.057) | / | (1 - (1303.708 + 535.501) / 7328.896) |
| = | 0.774862 | / | 0.749047 |
| | = | 1.0345 |
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 |
| = | 2910.93 | / | 3279.245 |
| | = | 0.8877 |
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)) |
| = | (121.077 / (121.077 + 535.501)) | / | (113.236 / (113.236 + 525.659)) |
| = | 0.184406 | / | 0.177237 |
| | = | 1.0404 |
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) |
| = | (477.933 / 2910.93) | / | (474.638 / 3279.245) |
| = | 0.164186 | / | 0.14474 |
| | = | 1.1344 |
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) |
| = | ((3146.534 + 423.372) / 7000.057) | / | ((3148.819 + 391.024) / 7328.896) |
| = | 0.509982 | / | 0.482998 |
| | = | 1.0559 |
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 |
| = | (474.953 - 149.254 | - | 587.249) | / | 7000.057 |
| | = | -0.037364 |
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.
Tegna has a M-score of -2.62 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
TGNA has been successfully added to your