Monolithic Power Systems (MPWR) Other Accumulated Expenses (2010 - 2026)
Monolithic Power Systems' Other Accumulated Expenses was $59.66 million in Q1 2026, up 80.0% from $33.14 million a year earlier and up 37.0% from the prior quarter.
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Analysis
Monolithic Power Systems (MPWR) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Monolithic Power Systems came in at $43.55 million, down 6.7% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $46.7 million in FY2024 (+19.0%), $39.25 million in FY2023 (+132.2%), $16.9 million in FY2022 (-2.1%) and $17.26 million in FY2021 (+5.3%).
- The Q1 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2010.
- Compared with a year earlier, Other Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 56.0%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q2 2025 (growth of 172.1%); the worst was Q2 2024 (a decline of 21.5%).
- Per Business Quant data, MPWR's Other Accumulated Expenses in the three quarters before Q1 2026 was $43.55 million (Q4 2025), $38.37 million (Q3 2025) and $35.24 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Monolithic Power Systems | 70.75 Bn | 65.44 Bn | 541.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 59.66 Mn |
| Dec 31, 2025 | 43.55 Mn |
| Sep 30, 2025 | 38.37 Mn |
| Jun 30, 2025 | 35.24 Mn |
| Mar 31, 2025 | 33.14 Mn |
| Dec 31, 2024 | 46.70 Mn |
| Sep 30, 2024 | 20.77 Mn |
| Jun 30, 2024 | 12.95 Mn |
| Mar 31, 2024 | 17.46 Mn |
| Dec 31, 2023 | 39.25 Mn |
| Sep 30, 2023 | 15.92 Mn |
| Jun 30, 2023 | 16.51 Mn |
| Mar 31, 2023 | 19.09 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 11.13 Mn |
| Jun 30, 2022 | 9.01 Mn |
| Mar 31, 2022 | 8.89 Mn |
| Dec 31, 2021 | 17.26 Mn |
| Sep 30, 2021 | 6.86 Mn |
| Jun 30, 2021 | 5.36 Mn |
API Access
Monolithic Power Systems Other Accumulated 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-accumulated-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();