McCormick & Company Incorporated (MKC)

Inventory turnover

Feb 29, 2024 Nov 30, 2023 Aug 31, 2023 May 31, 2023 Feb 28, 2023 Nov 30, 2022 Aug 31, 2022 May 31, 2022 Feb 28, 2022 Nov 30, 2021 Aug 31, 2021 May 31, 2021 Feb 28, 2021 Nov 30, 2020 Aug 31, 2020 May 31, 2020 Feb 29, 2020 Nov 30, 2019 Aug 31, 2019 May 31, 2019
Cost of revenue (ttm) US$ in thousands 4,160,500 4,159,700 4,179,500 4,146,500 4,116,600 4,076,000 4,032,100 3,953,000 3,881,300 3,823,300 3,693,100 3,583,300 3,462,800 3,300,900 3,258,500 3,207,800 3,179,600 3,202,100 3,210,200 3,216,600
Inventory US$ in thousands 1,129,600 1,126,500 1,225,500 1,276,200 1,344,600 1,340,100 1,379,500 1,344,600 1,244,200 1,182,300 1,202,400 1,147,800 1,073,400 1,032,600 942,100 831,300 835,600 801,200 846,900 816,500
Inventory turnover 3.68 3.69 3.41 3.25 3.06 3.04 2.92 2.94 3.12 3.23 3.07 3.12 3.23 3.20 3.46 3.86 3.81 4.00 3.79 3.94

February 29, 2024 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $4,160,500K ÷ $1,129,600K
= 3.68

The inventory turnover ratio for McCormick & Company Incorporated has shown some fluctuations over the past four years, ranging from 2.92 to 4.00. The ratio indicates how efficiently the company manages its inventory by revealing the number of times the inventory is sold and replaced within a specific period.

Overall, the company's inventory turnover has generally been consistent, with an average ratio of approximately 3.34 over the past 20 reported periods. This suggests that, on average, the company goes through its inventory about 3.34 times a year. A higher inventory turnover ratio typically indicates that the company is effectively managing its inventory levels, which can lead to lower carrying costs and potential obsolescence risks.

Despite some fluctuations, the general trend shows a level of stability in McCormick & Company's inventory turnover performance. It would be beneficial for the company to continue monitoring and analyzing its inventory turnover to ensure optimal inventory management practices and operational efficiency.