Automatic Data Processing Inc (ADP)

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 19,202,800 18,808,000 18,506,700 18,268,100 18,012,100 17,556,800 17,162,500 16,847,400 16,499,700 16,085,300 15,679,100 15,353,500 15,009,000 14,617,400 14,577,100 14,564,800 14,589,800 14,692,300 14,472,700 14,295,600
Property, plant and equipment US$ in thousands 685,600 676,500 671,000 660,400 681,400 663,500 655,100 645,100 652,600 650,500 644,500 648,700 684,500 701,400 692,700 701,500 703,900 743,100 761,300 767,100
Fixed asset turnover 28.01 27.80 27.58 27.66 26.43 26.46 26.20 26.12 25.28 24.73 24.33 23.67 21.93 20.84 21.04 20.76 20.73 19.77 19.01 18.64

June 30, 2024 calculation

Fixed asset turnover = Revenue (ttm) ÷ Property, plant and equipment
= $19,202,800K ÷ $685,600K
= 28.01

The fixed asset turnover ratio for Automatic Data Processing Inc has been consistently increasing over the past few years, indicating that the company is generating more revenue per dollar invested in fixed assets. This trend suggests that the company has been efficiently utilizing its fixed assets to generate sales.

In the most recent period, as of June 30, 2024, the fixed asset turnover ratio was 28.01, the highest among the listed periods. This implies that for every dollar invested in fixed assets, the company generated $28.01 in revenue.

Overall, the upward trend in the fixed asset turnover ratio reflects the effectiveness of Automatic Data Processing Inc in using its fixed assets efficiently to drive revenue growth. This efficiency can be attributed to better asset utilization, operational effectiveness, and possibly technology upgrades that have enhanced productivity.


Peer comparison

Jun 30, 2024


See also:

Automatic Data Processing Inc Net Fixed Asset Turnover (Quarterly Data)