Monolithic Power Systems (MPWR) Other Operating Expenses (2009 - 2022)
Monolithic Power Systems (MPWR) reported Other Operating Expenses of $118.62 million for Q2 2026, up 23.2% from $96.27 million a year earlier and up 18.0% from the prior quarter.
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Analysis
Monolithic Power Systems (MPWR) Other Operating Expenses (2009 - 2022) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Monolithic Power Systems' Other Operating Expenses came in at $412.95 million, up 14.9% year-over-year; for FY2025, it came in at $382.26 million, up 17.7% from FY2024.
- Other Operating Expenses has increased for 13 consecutive years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $324.75 million in FY2024 (+23.2%), $263.64 million in FY2023 (+9.8%), $240.17 million in FY2022 (+26.0%) and $190.63 million in FY2021 (+31.1%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- Year over year, Other Operating Expenses has now increased in each of the last 11 quarters, with growth averaging 19.4% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 33.7%); the low point was Q3 2023 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $100.57 million (Q1 2026), $95.6 million (Q4 2025) and $98.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Monolithic Power Systems | 67.85 Bn | 62.72 Bn | 665.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 3.19 Mn |
| Sep 30, 2022 | 2.05 Mn |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 1.49 Mn |
| Dec 31, 2021 | -420,000.00 |
| Sep 30, 2021 | 3.42 Mn |
| Jun 30, 2021 | 1.60 Mn |
| Mar 31, 2021 | 1.63 Mn |
| Dec 31, 2020 | 1.54 Mn |
| Sep 30, 2020 | 1.84 Mn |
| Jun 30, 2020 | 2.08 Mn |
| Mar 31, 2020 | 2.34 Mn |
| Dec 31, 2019 | 991,000.00 |
| Sep 30, 2019 | 692,000.00 |
| Jun 30, 2019 | 503,000.00 |
| Mar 31, 2019 | 278,000.00 |
| Dec 31, 2018 | 409,000.00 |
| Sep 30, 2018 | 343,000.00 |
| Jun 30, 2018 | 640,000.00 |
| Mar 31, 2018 | 531,000.00 |
API Access
Monolithic Power Systems Other Operating Expenses 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=other-operating-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();