Yum Brands Beneish M-Score Historical Data
The historical data trend for Yum Brands'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.
|
Yum Brands Annual Data
|
|
Trend |
Dec14 |
Dec15 |
Dec16 |
Dec17 |
Dec18 |
Dec19 |
Dec20 |
Dec21 |
Dec22 |
Dec23 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
|
|
-2.39 |
-2.84 |
-2.50 |
-2.57 |
-2.35 |
|
Yum Brands 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
|
|
|
|
|
|
|
|
|
|
|
|
|
-2.57 |
-2.65 |
-2.55 |
-2.48 |
-2.35 |
Competitive Comparison
For the Restaurants subindustry, Yum Brands'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.
Yum Brands Beneish M-Score Distribution
For the Restaurants industry and Consumer Cyclical sector, Yum Brands's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where Yum Brands's Beneish M-Score falls into.
Yum Brands 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 Yum Brands 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 * 1.0764 | + | 0.528 * 0.9783 | + | 0.404 * 1.0743 | + | 0.892 * 1.0342 | + | 0.115 * 0.9797 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9989 | + | 4.679 * -0.004494 | - | 0.327 * 0.8926 |
| = | -2.35 |
* 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 $757 Mil.
Revenue was 2036 + 1708 + 1687 + 1645 = $7,076 Mil.
Gross Profit was 973 + 860 + 852 + 811 = $3,496 Mil.
Total Current Assets was $1,609 Mil.
Total Assets was $6,231 Mil.
Property, Plant and Equipment(Net PPE) was $1,961 Mil.
Depreciation, Depletion and Amortization(DDA) was $153 Mil.
Selling, General, & Admin. Expense(SGA) was $1,187 Mil.
Total Current Liabilities was $1,277 Mil.
Long-Term Debt & Capital Lease Obligation was $11,899 Mil.
Net Income was 463 + 416 + 418 + 300 = $1,597 Mil.
Non Operating Income was -25 + 36 + 41 + -30 = $22 Mil.
Cash Flow from Operations was 448 + 477 + 329 + 349 = $1,603 Mil.
|
Total Receivables was $680 Mil.
Revenue was 2019 + 1640 + 1636 + 1547 = $6,842 Mil.
Gross Profit was 945 + 814 + 796 + 752 = $3,307 Mil.
Total Current Assets was $1,609 Mil.
Total Assets was $5,846 Mil.
Property, Plant and Equipment(Net PPE) was $1,913 Mil.
Depreciation, Depletion and Amortization(DDA) was $146 Mil.
Selling, General, & Admin. Expense(SGA) was $1,149 Mil.
Total Current Liabilities was $1,665 Mil.
Long-Term Debt & Capital Lease Obligation was $12,184 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) |
| = | (757 / 7076) | / | (680 / 6842) |
| = | 0.106981 | / | 0.099386 |
| | = | 1.0764 |
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) |
| = | (3307 / 6842) | / | (3496 / 7076) |
| = | 0.483338 | / | 0.494064 |
| | = | 0.9783 |
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 - (1609 + 1961) / 6231) | / | (1 - (1609 + 1913) / 5846) |
| = | 0.427058 | / | 0.397537 |
| | = | 1.0743 |
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 |
| = | 7076 | / | 6842 |
| | = | 1.0342 |
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)) |
| = | (146 / (146 + 1913)) | / | (153 / (153 + 1961)) |
| = | 0.070908 | / | 0.072375 |
| | = | 0.9797 |
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) |
| = | (1187 / 7076) | / | (1149 / 6842) |
| = | 0.16775 | / | 0.167933 |
| | = | 0.9989 |
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) |
| = | ((11899 + 1277) / 6231) | / | ((12184 + 1665) / 5846) |
| = | 2.114588 | / | 2.36897 |
| | = | 0.8926 |
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 |
| = | (1597 - 22 | - | 1603) | / | 6231 |
| | = | -0.004494 |
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.
Yum Brands has a M-score of -2.35 suggests that the company is unlikely to be a manipulator.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
YUM has been successfully added to your