Agilysys Inc (AGYS)

Inventory turnover

		Mar 31, 2025	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
Cost of revenue (ttm)	US$ in thousands	74,415	99,460	96,496	94,951	94,309	89,978	86,380	81,237	77,246	75,397	70,997	66,257	61,104	55,095	52,830	50,399	47,798	54,944	63,388	72,687
Inventory	US$ in thousands	—	6,360	6,446	5,300	4,587	6,772	7,485	8,452	9,774	10,349	9,659	7,246	6,940	3,256	1,881	1,186	1,177	1,322	2,174	2,760
Inventory turnover		—	15.64	14.97	17.92	20.56	13.29	11.54	9.61	7.90	7.29	7.35	9.14	8.80	16.92	28.09	42.49	40.61	41.56	29.16	26.34

March 31, 2025 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $74,415K ÷ $—K
= —

Agilysys Inc's inventory turnover has fluctuated over the past few years. The company experienced a significant increase in inventory turnover from June 30, 2020, to December 31, 2020, reaching 41.56, indicating that its inventory was moving at a faster rate during that period. This high turnover rate suggests efficient management of inventory and the ability to sell goods quickly.

However, from March 31, 2022, to September 30, 2022, there was a notable decline in inventory turnover, dropping to 7.35. This decline may indicate potential issues with inventory management, such as overstocking or slow-moving inventory.

There were fluctuations in inventory turnover from March 31, 2023, to June 30, 2024, ranging from 7.90 to 17.92. These fluctuations suggest varying levels of efficiency in managing inventory during this period.

As of March 31, 2025, the inventory turnover data is not available. Without the most recent figure, it is challenging to provide a comprehensive analysis of the current state of Agilysys Inc's inventory turnover. However, based on the historical data, it is evident that the company's inventory turnover has varied over time, indicating fluctuations in the efficiency of managing inventory levels.