Monolithic Power Systems (MPWR) Inventory (2009 - 2026)
Monolithic Power Systems' Inventory came in at $764.88 million for Q3 2026, up 51.3% from $505.68 million a year earlier and up 13.2% from the prior quarter.
Monolithic Power Systems (MPWR) Inventory (2009 - 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 Q3 2026 figure represents the highest quarterly Inventory in data going back to Q4 2010.
- Year-over-year, Inventory has increased for nine consecutive quarters, with growth averaging 27.2% 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 $675.85 million (Q2 2026), $619.16 million (Q1 2026) and $564.65 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Monolithic Power Systems | 67.85 Bn | 62.72 Bn | 665.54 Mn | 764.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 764.88 Mn |
| 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 |
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();