Boston Scientific Corp (BSX)

Inventory turnover

		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
Cost of revenue (ttm)	US$ in thousands	5,522,000	5,203,000	5,003,000	4,538,000	4,369,000	4,246,000	4,124,000	4,076,000	4,003,000	3,961,000	3,885,000	3,820,000	3,759,000	3,791,000	3,758,000	3,600,000	3,512,000	3,366,000	3,277,000	3,253,000
Inventory	US$ in thousands	2,810,000	2,753,000	2,608,000	2,561,000	2,484,000	2,404,000	2,250,000	2,050,000	1,867,000	1,788,000	1,752,000	1,736,000	1,610,000	1,603,000	1,430,000	1,407,000	1,351,000	1,472,000	1,516,000	1,628,000
Inventory turnover		1.97	1.89	1.92	1.77	1.76	1.77	1.83	1.99	2.14	2.22	2.22	2.20	2.33	2.36	2.63	2.56	2.60	2.29	2.16	2.00

December 31, 2024 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $5,522,000K ÷ $2,810,000K
= 1.97

Boston Scientific Corp's inventory turnover has shown a fluctuating trend over the past several periods. The inventory turnover ratio measures how efficiently the company manages its inventory by indicating how many times the company sells and replaces its inventory during a specific period.

From March 31, 2020, to December 31, 2020, the inventory turnover ratio steadily increased from 2.00 to 2.60, indicating that the company was able to sell and replace its inventory more frequently during this period.

However, from March 31, 2021, to June 30, 2022, the inventory turnover ratio fluctuated between 2.20 and 2.63, showing some variability in the company's inventory management efficiency during these quarters.

By the end of December 31, 2024, the inventory turnover had decreased to 1.97 from its peak of 2.63, indicating a potential slowdown in the company's inventory turnover efficiency.

Overall, Boston Scientific Corp's inventory turnover ratio has experienced fluctuations over the analyzed periods, suggesting varying levels of efficiency in managing its inventory. Further analysis would be needed to understand the reasons behind these fluctuations and to assess the impact on the company's overall operational performance.