PepsiCo Inc (PEP)

Return on assets (ROA)

Dec 31, 2023 Sep 9, 2023 Jun 17, 2023 Mar 31, 2023 Dec 31, 2022 Sep 3, 2022 Jun 11, 2022 Mar 19, 2022 Dec 31, 2021 Sep 4, 2021 Jun 12, 2021 Mar 20, 2021 Dec 31, 2020 Sep 5, 2020 Jun 13, 2020 Mar 21, 2020 Dec 31, 2019 Sep 7, 2019 Mar 23, 2019 Dec 31, 2018
Net income (ttm) US$ in thousands 9,074,000 8,290,000 7,900,000 6,581,000 8,910,000 9,714,000 9,236,000 10,165,000 7,618,000 8,141,000 8,208,000 7,496,000 7,120,000 7,041,000 6,850,000 6,617,000 12,133,000 12,865,000 12,585,000 12,515,000
Total assets US$ in thousands 100,495,000 99,953,000 95,906,000 93,042,000 92,187,000 94,461,000 93,103,000 92,962,000 92,377,000 93,254,000 92,385,000 91,224,000 92,918,000 92,041,000 89,525,000 85,062,000 78,547,000 77,444,000 75,466,000 77,648,000
ROA 9.03% 8.29% 8.24% 7.07% 9.67% 10.28% 9.92% 10.93% 8.25% 8.73% 8.88% 8.22% 7.66% 7.65% 7.65% 7.78% 15.45% 16.61% 16.68% 16.12%

December 31, 2023 calculation

ROA = Net income (ttm) ÷ Total assets
= $9,074,000K ÷ $100,495,000K
= 9.03%

The return on assets (ROA) for PepsiCo Inc has shown fluctuations over the past several periods. The trend indicates that the company has been able to generate a satisfactory return on its assets, although there have been periods of both increase and decrease in ROA.

The ROA ranged from a low of 7.07% in March 2023 to a high of 16.68% in March 2019, with the most recent ROA standing at 9.03% as of December 2023. This suggests that the company has been able to effectively utilize its assets to generate profits, albeit with some variability in performance.

Overall, PepsiCo Inc's ROA performance appears to be within a reasonable range compared to historical data, indicating that the company has been able to effectively generate profits relative to its asset base over the analyzed periods. Further analysis and comparison with industry benchmarks may provide additional insights into the company's asset utilization efficiency.


Peer comparison

Dec 31, 2023


See also:

PepsiCo Inc Return on Assets (ROA) (Quarterly Data)