Knight Transportation Inc (KNX)

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 — 58.38 — — — 11.29 6.21 15.36 16.55 21.55 25.98 21.28 23.91 24.52 28.65 26.06 24.74 25.43 26.51 26.89
DOH days — 6.25 — — — 32.33 58.78 23.76 22.06 16.94 14.05 17.15 15.27 14.89 12.74 14.01 14.75 14.35 13.77 13.57

December 31, 2024 calculation

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

The days of inventory on hand (DOH) for Knight Transportation Inc have exhibited some fluctuations over the period under review. The trend shows relatively stable DOH figures in the range of 13 to 15 days from March 2020 to December 2021, indicating efficient management of inventory levels.

However, there was a significant increase in DOH to 17.15 days as of March 31, 2022, indicating a potential buildup of inventory. This increase may be due to factors such as changing customer demand or supply chain disruptions.

Subsequently, there was a slight decrease to 14.05 days by June 30, 2022, suggesting some efforts to manage inventory levels. However, the DOH increased again to 22.06 days as of December 31, 2022, and surged dramatically to 58.78 days by June 30, 2023.

Such a substantial increase in DOH could signify potential issues with inventory management, such as overstocking, slow-moving inventory, or challenges in forecasting demand accurately.

The DOH then decreased significantly to 6.25 days by September 30, 2024, indicating a potential correction in inventory management strategies. Subsequent periods show "— days," suggesting missing data points or potential changes in reporting practices.

In conclusion, the analysis of Knight Transportation Inc's DOH reveals fluctuations in inventory management over time, highlighting the importance of closely monitoring and optimizing inventory levels to ensure operational efficiency and cost-effectiveness.