MillerKnoll Inc (MLKN)

Operating return on assets (Operating ROA)

Aug 31, 2024 Mar 2, 2024 Dec 2, 2023 Sep 2, 2023 Jun 3, 2023 Mar 4, 2023 Dec 3, 2022 Sep 3, 2022 May 28, 2022 Feb 26, 2022 Nov 27, 2021 Aug 28, 2021 May 29, 2021 Feb 27, 2021 Nov 28, 2020 Aug 29, 2020 May 30, 2020 Feb 29, 2020 Nov 30, 2019 Aug 31, 2019
Operating income (ttm) US$ in thousands 158,700 155,100 133,500 111,800 122,300 167,700 175,700 143,200 39,800 -6,200 19,700 84,500 232,500 10,600 5,900 -2,700 -38,000 229,500 226,900 217,600
Total assets US$ in thousands 4,019,100 4,095,100 4,155,500 4,183,200 4,274,800 4,382,800 4,448,100 4,447,400 4,514,000 4,517,700 4,465,900 4,460,500 2,076,800 2,054,900 2,028,500 1,917,100 2,053,900 1,985,800 1,878,000 1,784,800
Operating ROA 3.95% 3.79% 3.21% 2.67% 2.86% 3.83% 3.95% 3.22% 0.88% -0.14% 0.44% 1.89% 11.20% 0.52% 0.29% -0.14% -1.85% 11.56% 12.08% 12.19%

August 31, 2024 calculation

Operating ROA = Operating income (ttm) ÷ Total assets
= $158,700K ÷ $4,019,100K
= 3.95%

Operating return on assets (operating ROA) reflects MillerKnoll Inc's efficiency in generating profits from its assets used in operations. Analyzing the trend of operating ROA over the specified periods, we observe fluctuations. The operating ROA ranged from -1.85% to 12.19% over the past 21 periods.

The operating ROA was positive in most periods, indicating the company was able to generate profits from its operational assets. The ratio peaked at 12.19% on Feb 29, 2020, and was also relatively high at 11.56% on Aug 31, 2019. These high values suggest efficient utilization of assets to generate earnings.

However, there were periods of decline in operating ROA, with the lowest point being -1.85% on May 30, 2020. Negative values imply that the company's operational assets were not effectively utilized to generate profits during those periods.

Overall, the fluctuating trend of operating ROA indicates variability in the company's operational efficiency and profitability over the analyzed periods. Further analysis of the reasons behind these fluctuations would be beneficial in understanding the company's operational performance and potential areas for improvement.