Fox Corp Class B (FOX)

Fixed asset turnover

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
Revenue (ttm) US$ in thousands 13,995,000 13,934,000 14,571,000 14,954,000 14,913,000 15,016,000 14,351,000 14,150,000 13,974,000 13,546,000 13,397,000 13,140,000 12,909,000 12,437,000 12,662,000 12,353,000 12,303,000 12,398,000 11,710,000 11,515,000
Property, plant and equipment US$ in thousands 1,696,000 1,672,000 1,676,000 1,683,000 1,708,000 1,675,000 1,680,000 1,681,000 1,682,000 1,646,000 1,650,000 1,656,000 1,708,000 1,626,000 1,606,000 1,539,000 1,498,000 1,386,000 1,330,000 1,314,000
Fixed asset turnover 8.25 8.33 8.69 8.89 8.73 8.96 8.54 8.42 8.31 8.23 8.12 7.93 7.56 7.65 7.88 8.03 8.21 8.95 8.80 8.76

June 30, 2024 calculation

Fixed asset turnover = Revenue (ttm) ÷ Property, plant and equipment
= $13,995,000K ÷ $1,696,000K
= 8.25

The fixed asset turnover ratio for Fox Corp Class B has shown a generally increasing trend over the past few quarters, indicating improved efficiency in generating revenue from its fixed assets. The ratio has ranged from 7.56 to 8.96 over the past eight quarters, with a peak of 8.96 in Mar 31, 2023, and a low of 7.56 in Dec 31, 2020.

The company's ability to generate revenue from its fixed assets has remained relatively high, with the ratio consistently exceeding 8.0 in most quarters. This indicates that Fox Corp Class B is effectively utilizing its fixed assets to generate sales.

Overall, the trend in the fixed asset turnover ratio suggests that Fox Corp Class B has been successful in optimizing the utilization of its fixed assets to drive revenue growth. However, it would be beneficial to continue monitoring this ratio to ensure that operational efficiency is maintained over time.


Peer comparison

Jun 30, 2024


See also:

Fox Corp Class B Net Fixed Asset Turnover (Quarterly Data)