McDonald’s Corporation (MCD)
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 | 92.43 | 87.37 | 102.98 | 102.43 | 86.70 | 94.38 | 83.79 | 84.60 | 83.90 | 102.18 | 102.20 | 88.27 | 76.37 | 84.66 | 85.41 | 88.43 | 77.93 | 86.50 | 91.01 | 97.57 | |
DOH | days | 3.95 | 4.18 | 3.54 | 3.56 | 4.21 | 3.87 | 4.36 | 4.31 | 4.35 | 3.57 | 3.57 | 4.14 | 4.78 | 4.31 | 4.27 | 4.13 | 4.68 | 4.22 | 4.01 | 3.74 |
December 31, 2024 calculation
DOH = 365 ÷ Inventory turnover
= 365 ÷ 92.43
= 3.95
The days of inventory on hand (DOH) for McDonald’s Corporation show fluctuations over the period from March 31, 2020, to December 31, 2024. The DOH ranged from a low of 3.54 days on June 30, 2024, to a high of 4.78 days on December 31, 2021. The trend indicates some variability in managing inventory levels efficiently.
Overall, McDonald’s Corporation has maintained its inventory levels at an average DOH of around 4 days during this period. This suggests that the company has effectively managed its inventory to meet demand without excessive stockpiling. However, the slight fluctuations in the DOH indicate that the company may have experienced some challenges in optimizing its inventory management processes.
It is important for McDonald’s to continue monitoring its DOH to ensure that inventory levels are aligned with sales trends and to avoid potential risks such as obsolescence or excessive carrying costs. Maintaining an optimal balance between inventory levels and customer demand is key to efficient operations and profitability in the fast-food industry.
Peer comparison
Dec 31, 2024
See also:
McDonald’s Corporation Average Inventory Processing Period (Quarterly Data)