Ford Motor Company (F)

Working capital turnover

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 Jun 30, 2019 Mar 31, 2019
Revenue (ttm) US$ in thousands 176,452,000 173,326,000 169,237,000 164,758,000 158,057,000 151,736,000 148,027,000 134,589,000 136,341,000 134,615,000 136,433,000 129,052,000 127,144,000 130,907,000 130,396,000 149,878,000 155,900,000 157,978,000 158,654,000 158,721,000
Total current assets US$ in thousands 121,481,000 121,361,000 121,712,000 115,123,000 116,476,000 108,088,000 100,469,000 106,142,000 108,996,000 106,968,000 101,275,000 113,932,000 116,744,000 111,765,000 124,111,000 124,276,000 114,047,000 115,754,000 118,351,000 121,195,000
Total current liabilities US$ in thousands 101,531,000 100,268,000 101,015,000 95,905,000 96,866,000 90,167,000 86,452,000 90,352,000 90,727,000 89,033,000 83,474,000 94,249,000 97,192,000 93,159,000 92,780,000 94,494,000 98,132,000 99,087,000 98,334,000 99,237,000
Working capital turnover 8.84 8.22 8.18 8.57 8.06 8.47 10.56 8.52 7.46 7.51 7.66 6.56 6.50 7.04 4.16 5.03 9.80 9.48 7.93 7.23

December 31, 2023 calculation

Working capital turnover = Revenue (ttm) ÷ (Total current assets – Total current liabilities)
= $176,452,000K ÷ ($121,481,000K – $101,531,000K)
= 8.84

Since the working capital turnover ratio is not available for Q4 2023, Q3 2023, Q2 2023, and Q1 2023, we cannot analyze the trend for these periods. However, in Q3 2022, the working capital turnover ratio was 381.25. The lack of data for the other periods makes it challenging to provide a comprehensive analysis of Ford Motor Co.'s working capital turnover ratio over time. Further data points would be needed to assess any potential trends or fluctuations in the company's efficiency in utilizing its working capital.


Peer comparison

Dec 31, 2023


See also:

Ford Motor Company Working Capital Turnover (Quarterly Data)