Kelly Services A Inc (KELYA)

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 4,337,600 4,374,400 4,454,700 4,611,800 4,834,000 3,860,100 3,910,100 2,699,200 1,433,300 2,422,100 2,449,600 3,702,000 4,906,200 4,897,300 4,739,800 4,458,800 4,516,300 4,613,700 4,843,900 5,235,600
Total assets US$ in thousands 2,632,300 2,688,900 2,628,200 2,395,400 2,581,600 2,550,000 2,595,000 2,588,600 2,663,800 2,681,900 2,735,200 2,785,600 2,894,200 2,803,500 2,746,900 2,610,100 2,561,900 2,391,700 2,318,700 2,261,800
Total asset turnover 1.65 1.63 1.69 1.93 1.87 1.51 1.51 1.04 0.54 0.90 0.90 1.33 1.70 1.75 1.73 1.71 1.76 1.93 2.09 2.31

December 31, 2024 calculation

Total asset turnover = Revenue (ttm) ÷ Total assets
= $4,337,600K ÷ $2,632,300K
= 1.65

Total asset turnover is a key financial ratio that measures a company's efficiency in generating sales from its assets. In the case of Kelly Services A Inc, the total asset turnover has fluctuated over the past few years.

From March 31, 2020, to March 31, 2021, the total asset turnover steadily decreased from 2.31 to 1.71, indicating a decline in the company's ability to generate revenue from its assets. However, from March 31, 2021, to December 31, 2024, there were fluctuations in the total asset turnover ratio, with values ranging from 0.54 to 1.93.

The ratio hit its lowest point at 0.54 on December 31, 2022, suggesting a significant drop in efficiency in utilizing assets to generate sales. The highest value was recorded on March 31, 2024, at 1.93, indicating an improvement in asset utilization during that period.

Overall, the trend in total asset turnover for Kelly Services A Inc shows fluctuations, with periods of both improvement and decline in efficiency in generating sales from its assets. Further analysis and context are necessary to understand the underlying reasons for these fluctuations.