Clean Harbors Inc (CLH)
Total asset turnover
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 | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Revenue (ttm) | US$ in thousands | 5,754,620 | 5,765,470 | 5,607,830 | 5,459,390 | 5,395,620 | 5,338,840 | 5,337,840 | 5,308,930 | 5,168,630 | 4,988,910 | 4,587,405 | 4,156,892 | 3,803,032 | 3,426,911 | 3,272,642 | 3,074,051 | 3,139,310 | 3,215,536 | 3,321,592 | 3,480,263 |
Total assets | US$ in thousands | 7,377,280 | 7,306,010 | 7,136,950 | 6,939,820 | 6,382,870 | 6,248,180 | 6,101,340 | 6,084,010 | 6,129,710 | 6,072,630 | 5,924,660 | 5,726,260 | 5,653,700 | 4,354,300 | 4,275,880 | 4,152,540 | 4,131,520 | 4,106,190 | 4,077,630 | 4,132,020 |
Total asset turnover | 0.78 | 0.79 | 0.79 | 0.79 | 0.85 | 0.85 | 0.87 | 0.87 | 0.84 | 0.82 | 0.77 | 0.73 | 0.67 | 0.79 | 0.77 | 0.74 | 0.76 | 0.78 | 0.81 | 0.84 |
December 31, 2024 calculation
Total asset turnover = Revenue (ttm) ÷ Total assets
= $5,754,620K ÷ $7,377,280K
= 0.78
Clean Harbors Inc's total asset turnover has fluctuated over the reported periods, ranging from a low of 0.67 to a high of 0.87. Generally, a higher total asset turnover indicates that the company is utilizing its assets more efficiently to generate revenue.
From March 31, 2020, to March 31, 2022, there was a gradual decline in total asset turnover. However, from March 31, 2022, to March 31, 2024, there was some fluctuation with no clear trend.
The average total asset turnover for the entire period appears to be around 0.79, indicating that Clean Harbors Inc, on average, generated $0.79 in revenue for every $1 of total assets they held during this time frame.
It could be further analyzed how the changes in total asset turnover correlate with other financial metrics and business strategies to understand the reasons behind the fluctuations and assess the company's overall operational efficiency.