GATX Corporation (GATX)

Inventory 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
Cost of revenue (ttm) US$ in thousands 57,000 471,300 450,900 521,200 593,400 615,300 603,200 617,000 603,000 604,200 593,800 569,500 568,200 842,100 831,600 823,000 822,400 851,200 861,700 869,200
Inventory US$ in thousands 71,800 0 0 74,000 -2,600 -100 0 60,200 596,500 -400 52,000 -2,400 -3,200 -4,600 64,300 -6,900 -8,200 -8,300
Inventory turnover 0.79 8.02 10.02 1.00 10.93 12.79

December 31, 2024 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $57,000K ÷ $71,800K
= 0.79

The inventory turnover ratio is a measure of how efficiently a company manages its inventory by calculating the number of times its inventory is sold and replaced within a specific period. For GATX Corporation, the inventory turnover ratio has shown fluctuating trends over the years.

As of December 31, 2020, the inventory turnover ratio stood at 12.79, indicating that the company's inventory turned over approximately 12.79 times during that period. This was a relatively high turnover rate, suggesting efficient management of inventory.

However, the inventory turnover ratio dropped significantly to 1.00 as of June 30, 2022, signaling a possible slowdown in inventory management efficiency. It is important to note that an inventory turnover ratio of 1.00 implies that the company's entire inventory was sold and replenished once during that period.

Subsequently, the ratio improved to 10.02 by December 31, 2022, reflecting a better performance in inventory turnover. Nevertheless, by December 31, 2024, the ratio further declined to 0.79, indicating a potential concern regarding inventory management efficiency.

Overall, the fluctuating inventory turnover ratios of GATX Corporation highlight the need for continuous monitoring and optimization of inventory management practices to ensure effective utilization of resources and maximize profitability.