Intel Corporation (INTC)

Days of inventory on hand (DOH)

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
Inventory turnover 4.01 3.97 3.55 3.41 3.50 3.57 3.49 3.35 3.34 2.59 2.64 2.59 3.12 4.51 5.00 5.23 4.93 4.38 4.48 4.11
DOH days 90.99 91.98 102.94 107.03 104.21 102.33 104.61 108.90 109.30 140.97 138.12 140.88 117.15 80.87 73.04 69.82 74.11 83.27 81.47 88.92

December 31, 2024 calculation

DOH = 365 ÷ Inventory turnover
= 365 ÷ 4.01
= 90.99

The days of inventory on hand (DOH) for Intel Corporation experienced fluctuations over the period from March 31, 2020, to December 31, 2024. The DOH measures the average number of days it takes for a company to sell its entire inventory. A decreasing DOH typically indicates efficient inventory management, while an increasing DOH may suggest slower sales or excess inventory.

From March 2020 to December 2021, Intel's DOH decreased steadily from 88.92 days to 117.15 days before experiencing a notable spike to 140.88 days by March 2022. This sudden increase in DOH could indicate potential issues such as slow sales, excess inventory, or disruptions in the supply chain.

Subsequently, from March 2022 to December 2024, Intel managed to reduce its DOH back to 90.99 days by the end of December 2024. This improvement suggests that Intel may have made adjustments to their inventory management processes to better align inventory levels with demand.

Overall, Intel Corporation should continue to monitor its DOH closely to ensure efficient inventory management, optimize cash flow, and prevent potential obsolescence issues. Maintaining a balance between maintaining adequate inventory levels to meet demand and avoiding excess inventory will be crucial for Intel's financial health and operational efficiency.


See also:

Intel Corporation Average Inventory Processing Period (Quarterly Data)