Monolithic Power Systems Inc (MPWR)

Inventory turnover

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 Dec 31, 2019 Sep 30, 2019 Mar 31, 2019 Dec 31, 2018
Cost of revenue (ttm) US$ in thousands 799,953 789,267 782,457 779,047 745,596 696,023 628,718 567,777 522,339 483,878 463,049 417,563 378,498 349,131 308,404 288,145 282,718 278,873 265,415 259,713
Inventory US$ in thousands 383,702 397,288 427,432 430,830 447,290 397,435 359,647 311,040 259,417 208,062 177,322 175,223 157,062 148,096 152,119 131,499 127,500 135,634 142,543 136,384
Inventory turnover 2.08 1.99 1.83 1.81 1.67 1.75 1.75 1.83 2.01 2.33 2.61 2.38 2.41 2.36 2.03 2.19 2.22 2.06 1.86 1.90

December 31, 2023 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $799,953K ÷ $383,702K
= 2.08

Inventory turnover measures how efficiently a company manages its inventory by indicating how many times in a year the company sells and replaces its inventory. A higher inventory turnover ratio generally signifies better inventory management.

For Monolithic Power System Inc, the inventory turnover has fluctuated over the past eight quarters. In Q4 2023, the inventory turnover was 2.08, which indicates that the company sold and replaced its inventory approximately 2.08 times during that quarter. This is higher than the previous quarter's 1.99.

Overall, the trend in inventory turnover for Monolithic Power System Inc has shown some variability but has generally been consistent around 1.7 to 1.9 over the past two years. This suggests that the company is maintaining a moderate level of efficiency in managing its inventory. However, it is important to compare this ratio with industry benchmarks to gain a better understanding of Monolithic Power System Inc's performance relative to its peers.


Peer comparison

Dec 31, 2023

Dec 31, 2023


See also:

Monolithic Power Systems Inc Inventory Turnover (Quarterly Data)