Zimmer Biomet Holdings Inc (ZBH)

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		2.74	2.54	2.51	2.48	2.46	2.65	2.67	2.69	2.79	2.90	3.03	3.12	3.16	2.65	2.63	2.53	2.85	2.59	2.59	2.77
DOH	days	133.37	143.66	145.14	147.37	148.20	137.97	136.57	135.55	130.61	126.06	120.56	116.95	115.63	137.59	139.03	144.37	128.08	140.78	140.95	131.57

December 31, 2024 calculation

DOH = 365 ÷ Inventory turnover
= 365 ÷ 2.74
= 133.37

Zimmer Biomet Holdings Inc's days of inventory on hand (DOH) reflects the number of days it takes for the company to sell its inventory. Analyzing the trend in DOH over the past years, we observe fluctuations in the metric.

From March 31, 2020, to December 31, 2021, the DOH remained relatively high, fluctuating between 128.08 to 144.37 days, indicating that the company was carrying a significant amount of inventory compared to its sales levels.

However, starting from March 31, 2022, the DOH began to show a decreasing trend, reaching a low of 115.63 days by December 31, 2021. This suggests that Zimmer Biomet Holdings Inc may have implemented more efficient inventory management practices during this period, leading to a reduction in the number of days it takes to sell its inventory.

From December 31, 2021, to December 31, 2024, the DOH showed some fluctuations but generally remained at a lower level compared to the earlier periods, ranging from 115.63 to 148.20 days. This indicates that the company's inventory management may have stabilized at a more efficient level, although there were some fluctuations in sales and inventory levels during this period.

Overall, the trend in Zimmer Biomet Holdings Inc's DOH reflects the company's efforts to improve inventory management efficiency, with fluctuations potentially influenced by various factors such as seasonality, market demand, and supply chain disruptions.