Monolithic Power Systems (MPWR) Gross Margin (2010 - 2026)
Monolithic Power Systems (MPWR) posted Gross Margin of 55.18% for Q2 2026, up 0.10 percentage points from 55.08% a year earlier but down 0.17 percentage points from the prior quarter.
Monolithic Power Systems (MPWR) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Monolithic Power Systems was 55.20%, down 0.12 percentage points year-over-year.
- Annual Gross Margin has declined for three consecutive years, with a five-year change of 0.00 percentage points (FY2020 to FY2025).
- In prior years, Monolithic Power Systems' Gross Margin was 55.32% in FY2024 (-0.76 pp), 56.07% in FY2023 (-2.37 pp), 58.44% in FY2022 (+1.69 pp) and 56.75% in FY2021 (+1.57 pp).
- Quarterly Gross Margin has run from a low of 55.08% in Q2 2025 to a high of 58.78% in Q2 2022 over five years.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of -0.06 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q2 2022, with a gain of 2.79 percentage points; the weakest was Q3 2023, with a drop of 3.22 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 55.34% (Q1 2026), 55.15% (Q4 2025) and 55.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 74.98% |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 67.72% |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 69.13% |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 86.76% |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 53.77% |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | 51.98% |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 40.36% |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 50.31% |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 52.30% |
| 10 | Monolithic Power Systems | 56.03 Bn | 50.72 Bn | 541.07 Mn | 55.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.18% |
| Mar 31, 2026 | 55.34% |
| Dec 31, 2025 | 55.15% |
| Sep 30, 2025 | 55.11% |
| Jun 30, 2025 | 55.08% |
| Mar 31, 2025 | 55.40% |
| Dec 31, 2024 | 55.40% |
| Sep 30, 2024 | 55.38% |
| Jun 30, 2024 | 55.29% |
| Mar 31, 2024 | 55.13% |
| Dec 31, 2023 | 55.31% |
| Sep 30, 2023 | 55.50% |
| Jun 30, 2023 | 56.15% |
| Mar 31, 2023 | 57.37% |
| Dec 31, 2022 | 58.22% |
| Sep 30, 2022 | 58.72% |
| Jun 30, 2022 | 58.78% |
| Mar 31, 2022 | 57.95% |
| Dec 31, 2021 | 57.61% |
| Sep 30, 2021 | 57.59% |
Monolithic Power Systems Gross Margin 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=gross-margin&ticker=MPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();