Applied Industrial Technologies (AIT)

Operating return on assets (Operating ROA)

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 Dec 31, 2019 Sep 30, 2019
Operating income (ttm) US$ in thousands 495,823 483,295 489,000 487,299 473,151 455,560 424,492 389,776 357,858 329,735 308,359 227,760 205,454 171,381 18,964 80,131 88,989 113,936 226,395 228,615
Total assets US$ in thousands 2,951,910 2,854,940 2,782,760 2,750,510 2,743,330 2,608,640 2,522,900 2,474,170 2,452,590 2,383,570 2,225,710 2,303,180 2,271,810 2,305,390 2,241,020 2,249,250 2,283,550 2,289,530 2,419,000 2,429,730
Operating ROA 16.80% 16.93% 17.57% 17.72% 17.25% 17.46% 16.83% 15.75% 14.59% 13.83% 13.85% 9.89% 9.04% 7.43% 0.85% 3.56% 3.90% 4.98% 9.36% 9.41%

June 30, 2024 calculation

Operating ROA = Operating income (ttm) ÷ Total assets
= $495,823K ÷ $2,951,910K
= 16.80%

Applied Industrial Technologies operating return on assets (Operating ROA) has shown a generally increasing trend over the analyzed periods, reflecting improved efficiency in generating profits from its assets. The operating ROA increased from 9.41% in September 2019 to 17.57% in December 2023, reaching its peak during this period. This indicates that the company is effectively utilizing its assets to generate operating profits.

However, it is worth noting that there were fluctuations in the operating ROA during this period, with some slight decreases occurring sporadically. For example, the operating ROA dropped to 13.83% in March 2022 before gradually increasing again. These fluctuations may be attributed to various factors such as changes in market conditions, operational efficiency, or investment decisions.

Overall, the upward trend in Applied Industrial Technologies operating ROA demonstrates the company's ability to generate profits relative to its assets, showcasing a positive operational performance during the analyzed periods.