Science Applications International Corporation Common Stock (SAIC)

Inventory turnover

		Feb 2, 2024	Nov 3, 2023	Aug 4, 2023	May 5, 2023	Feb 3, 2023	Oct 28, 2022	Jul 29, 2022	Apr 29, 2022	Jan 28, 2022	Oct 29, 2021	Jul 30, 2021	Apr 30, 2021	Jan 29, 2021	Oct 30, 2020	Jul 31, 2020	May 1, 2020	Jan 31, 2020	Nov 1, 2019	Aug 2, 2019	May 3, 2019
Cost of revenue (ttm)	US$ in thousands	6,572,000	6,773,000	6,795,000	6,839,000	6,816,000	6,655,000	6,652,000	6,644,000	6,535,000	6,467,000	6,391,000	6,351,000	6,264,000	6,120,000	5,967,000	5,812,000	5,673,000	5,370,000	4,962,000	4,556,000
Inventory	US$ in thousands	3,000	67,000	74,000	77,000	71,000	135,000	135,000	131,000	64,000	128,000	146,000	156,000	78,000	167,000	184,000	177,000	84,000	144,000	130,000	127,000
Inventory turnover		2,190.67	101.09	91.82	88.82	96.00	49.30	49.27	50.72	102.11	50.52	43.77	40.71	80.31	36.65	32.43	32.84	67.54	37.29	38.17	35.87

February 2, 2024 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $6,572,000K ÷ $3,000K
= 2,190.67

The inventory turnover ratio for Science Applications International Corporation Common Stock has shown significant fluctuations over time based on the data provided. The highest inventory turnover was recorded on Feb 2, 2024, at 2,190.67 times, indicating that the company sold and replaced its inventory more than 2,000 times within the year. This exceptionally high turnover may suggest efficient inventory management and a quick conversion of inventory into sales.

Conversely, the lowest inventory turnover was seen on May 1, 2020, at 32.43 times, indicating a slower rate of inventory turnover during that period. This could imply potential challenges in managing inventory levels, which may lead to higher carrying costs and potential obsolescence risks.

Overall, the inventory turnover ratios for Science Applications International Corporation Common Stock have varied widely, suggesting fluctuations in sales volumes, inventory management practices, and market demand. It is important for the company to closely monitor and optimize its inventory turnover to ensure efficient operations and profitability.