Monolithic Power Systems (MPWR) Inventory (2010 - 2026)
Monolithic Power Systems' Inventory came in at $675.85 million for Q2 2026, up 37.7% from $490.64 million a year earlier and up 9.2% from the prior quarter.
Monolithic Power Systems (MPWR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Monolithic Power Systems' Inventory was $564.65 million, up 34.6% from FY2024.
- Inventory carries a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- Going back by year, Inventory was $419.61 million in FY2024 (+9.4%), $383.7 million in FY2023 (-14.2%), $447.29 million in FY2022 (+72.4%) and $259.42 million in FY2021 (+65.2%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2010.
- Year-over-year, Inventory has increased for eight consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2022 (growth of 102.8%), and the weakest in Q4 2023 (a decline of 14.2%).
- Business Quant data shows MPWR's Inventory at $619.16 million (Q1 2026), $564.65 million (Q4 2025) and $505.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn | 675.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 675.85 Mn |
| Mar 31, 2026 | 619.16 Mn |
| Dec 31, 2025 | 564.65 Mn |
| Sep 30, 2025 | 505.68 Mn |
| Jun 30, 2025 | 490.64 Mn |
| Mar 31, 2025 | 454.79 Mn |
| Dec 31, 2024 | 419.61 Mn |
| Sep 30, 2024 | 424.94 Mn |
| Jun 30, 2024 | 426.75 Mn |
| Mar 31, 2024 | 395.99 Mn |
| Dec 31, 2023 | 383.70 Mn |
| Sep 30, 2023 | 397.29 Mn |
| Jun 30, 2023 | 427.43 Mn |
| Mar 31, 2023 | 430.83 Mn |
| Dec 31, 2022 | 447.29 Mn |
| Sep 30, 2022 | 397.44 Mn |
| Jun 30, 2022 | 359.65 Mn |
| Mar 31, 2022 | 311.04 Mn |
| Dec 31, 2021 | 259.42 Mn |
| Sep 30, 2021 | 208.06 Mn |
Monolithic Power Systems Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "MPWR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();