Yum! Brands Inc (YUM)

Return on equity (ROE)

Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Net income (ttm) US$ in thousands 1,486,000 1,526,000 1,560,000 1,611,000 1,597,000 1,505,000 1,420,000 1,226,000 1,325,000 1,284,000 1,481,000 1,648,000 1,575,000 1,577,000 1,332,000 1,147,000 904,000 1,060,000 1,032,000 1,115,000
Total stockholders’ equity US$ in thousands -7,648,000 -7,674,000 -7,630,000 -7,756,000 -7,858,000 -8,190,000 -8,436,000 -8,774,000 -8,876,000 -8,542,000 -8,568,000 -8,491,000 -8,373,000 -7,855,000 -7,893,000 -7,912,000 -7,891,000 -7,919,000 -8,108,000 -8,229,000
ROE

December 31, 2024 calculation

ROE = Net income (ttm) ÷ Total stockholders’ equity
= $1,486,000K ÷ $-7,648,000K
= —

Based on the provided data, the return on equity (ROE) for Yum! Brands Inc is not available for the periods from March 31, 2020, to December 31, 2024. ROE is a key financial ratio that measures a company's efficiency in generating profits from its shareholders' equity.

The absence of ROE data makes it challenging to assess Yum! Brands' performance in terms of how effectively it is utilizing its equity to generate profits for its shareholders. ROE is typically calculated by dividing net income by average shareholders' equity, and a higher ROE indicates more efficient use of equity capital.

Without the ROE figures, it is not possible to provide a detailed analysis of Yum! Brands Inc's profitability and efficiency in generating returns for its owners. Investors and stakeholders often use ROE as a critical metric in evaluating a company's performance and comparing it to industry peers. It would be beneficial to have access to complete financial statements to conduct a more comprehensive analysis of Yum! Brands Inc's performance and financial health.


See also:

Yum! Brands Inc Return on Equity (ROE) (Quarterly Data)