Maxlinear (MXL) Return on Equity [ROE] (2011 - 2026)
Maxlinear's Return on Equity [ROE] was -22.10% in Q2 2026, up 20.68 percentage points from -42.78% a year earlier and up 7.06 percentage points from the prior quarter.
Maxlinear (MXL) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Equity [ROE] at Maxlinear came in at -28.23%, up 12.55 percentage points from FY2024.
- Return on Equity [ROE] shows a five-year change of -3.77 percentage points (FY2020 to FY2025).
- In earlier years, Return on Equity [ROE] was -40.78% in FY2024 (-30.05 pp), -10.74% in FY2023 (-32.18 pp), 21.45% in FY2022 (+11.91 pp) and 9.53% in FY2021 (+34.00 pp).
- The Q2 2026 figure marks the highest quarterly Return on Equity [ROE] since Q4 2023.
- Compared with a year earlier, Return on Equity [ROE] has increased for four straight quarters, with an average year-over-year change of -6.77 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Equity [ROE] over five years was Q4 2021 (a gain of 33.89 percentage points); the worst was Q2 2024 (a drop of 38.96 percentage points).
- Per Business Quant data, MXL's Return on Equity [ROE] in the three quarters before Q2 2026 was -29.16% (Q1 2026), -29.82% (Q4 2025) and -37.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 90.87% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 40.51% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 40.84% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 58.27% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.77% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -9.81% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 63.02% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 37.42% |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | -22.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.10% |
| Mar 31, 2026 | -29.16% |
| Dec 31, 2025 | -29.82% |
| Sep 30, 2025 | -37.70% |
| Jun 30, 2025 | -42.78% |
| Mar 31, 2025 | -44.10% |
| Dec 31, 2024 | -45.69% |
| Sep 30, 2024 | -38.45% |
| Jun 30, 2024 | -30.24% |
| Mar 31, 2024 | -23.40% |
| Dec 31, 2023 | -10.53% |
| Sep 30, 2023 | -0.50% |
| Jun 30, 2023 | 8.73% |
| Mar 31, 2023 | 14.30% |
| Dec 31, 2022 | 19.33% |
| Sep 30, 2022 | 20.59% |
| Jun 30, 2022 | 18.76% |
| Mar 31, 2022 | 14.10% |
| Dec 31, 2021 | 8.87% |
| Sep 30, 2021 | -2.44% |
Maxlinear Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "MXL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();