Diamondback Energy Inc (FANG)
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 | 11,051,000 | 9,572,000 | 9,267,000 | 8,680,000 | 8,378,000 | 8,191,000 | 8,288,000 | 9,160,000 | 9,643,000 | 9,635,000 | 9,107,000 | 8,018,000 | 6,793,000 | 5,538,000 | 4,348,000 | 3,092,000 | 2,806,000 | 3,141,000 | 3,395,000 | 3,990,000 |
Total assets | US$ in thousands | 67,292,000 | 65,747,000 | 35,637,000 | 29,690,000 | 29,001,000 | 28,049,000 | 27,587,000 | 27,589,000 | 26,209,000 | 23,843,000 | 23,448,000 | 23,331,000 | 22,898,000 | 22,639,000 | 17,619,000 | 21,996,000 | 17,619,000 | 18,760,000 | 20,337,000 | 23,386,000 |
Total asset turnover | 0.16 | 0.15 | 0.26 | 0.29 | 0.29 | 0.29 | 0.30 | 0.33 | 0.37 | 0.40 | 0.39 | 0.34 | 0.30 | 0.24 | 0.25 | 0.14 | 0.16 | 0.17 | 0.17 | 0.17 |
December 31, 2024 calculation
Total asset turnover = Revenue (ttm) ÷ Total assets
= $11,051,000K ÷ $67,292,000K
= 0.16
Total asset turnover for Diamondback Energy Inc has fluctuated over the years, starting at 0.17 in March 2020, declining to 0.14 in March 2021, and then steadily increasing to reach a peak of 0.40 by September 2022. Subsequently, the ratio decreased slightly to 0.29 by December 2024.
This metric indicates that, on average, the company generates $0.29 in revenue for every dollar of assets it holds. The higher the turnover ratio, the more efficiently the company is utilizing its assets to generate sales. Overall, Diamondback Energy Inc has shown variability in its total asset turnover but has managed to improve its asset utilization efficiency over the years.
Peer comparison
Dec 31, 2024
See also:
Diamondback Energy Inc Total Asset Turnover (Quarterly Data)