Science Applications International Corporation Common Stock (SAIC)

Days of inventory on hand (DOH)

		Jan 31, 2025	Nov 1, 2024	Aug 2, 2024	May 3, 2024	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
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
DOH	days	—	—	—	—	0.17	3.61	3.97	4.11	3.80	7.40	7.41	7.20	3.57	7.22	8.34	8.97	4.55	9.96	11.26	11.12

January 31, 2025 calculation

DOH = 365 ÷ Inventory turnover
= 365 ÷ —
= —

The days of inventory on hand (DOH) ratio measures how efficiently a company manages its inventory by indicating the number of days it takes for inventory to be sold or used within a specific period. A lower DOH value generally suggests better inventory management and turnover.

Analyzing the DOH trend for Science Applications International Corporation Common Stock based on the provided data, we observe fluctuations over time. From May 1, 2020, to October 30, 2020, the DOH remained relatively stable around 11 days. However, there was a significant drop to 4.55 days by January 29, 2021, indicating a considerable improvement in inventory turnover efficiency.

Subsequently, the DOH increased slightly to 8.97 days by April 30, 2021, before gradually declining to 3.57 days by January 28, 2022. This trend of lower DOH values persisted until the April 29, 2022, reporting period, where it was recorded at 7.20 days. The DOH then stabilized around 7-8 days from July 29, 2022, to October 28, 2022.

A notable decline in DOH was observed from February 3, 2023, to November 3, 2023, with the ratio decreasing from 3.80 days to 3.61 days. This downward trend continued as the DOH reduced to 0.17 days by February 2, 2024, indicating a potentially very efficient inventory turnover.

However, the subsequent data points from May 3, 2024, to January 31, 2025, show a dash ("—"), implying missing or unavailable data for inventory days on hand during these periods. Consequently, it is challenging to assess inventory management efficiency beyond November 1, 2024, based on the provided information.

In conclusion, based on the available data, Science Applications International Corporation Common Stock showed varying levels of inventory turnover efficiency, with periods of improved performance and efficient management interspersed with instances of limited visibility due to missing data points.