Maxlinear (MXL) EBITDA Margin (2010 - 2026)
Maxlinear's EBITDA Margin came in at 1.78% for Q2 2026, up 17.57 percentage points from -15.79% a year earlier and up 6.35 percentage points from the prior quarter.
Maxlinear (MXL) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Maxlinear reported EBITDA Margin of -5.98%, up 30.04 percentage points year-over-year; for FY2025, it was -17.73%, up 29.21 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -12.58 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -46.93% in FY2024 (-51.74 pp), 4.80% in FY2023 (-18.49 pp), 23.30% in FY2022 (+5.70 pp) and 17.60% in FY2021 (+22.74 pp).
- The Q2 2026 figure represents the highest quarterly EBITDA Margin since Q2 2023.
- Year-over-year, EBITDA Margin has increased for six consecutive quarters, with an average year-over-year change of +10.52 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q3 2025 (a gain of 46.24 percentage points), and the weakest in Q1 2024 (a drop of 79.52 percentage points).
- Business Quant data shows MXL's EBITDA Margin at -4.57% (Q1 2026), -3.01% (Q4 2025) and -21.09% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 67.41% |
| 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 | 61.40% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 86.07% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 23.88% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 31.13% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 39.17% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 35.39% |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 1.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.78% |
| Mar 31, 2026 | -4.57% |
| Dec 31, 2025 | -3.01% |
| Sep 30, 2025 | -21.09% |
| Jun 30, 2025 | -15.79% |
| Mar 31, 2025 | -36.43% |
| Dec 31, 2024 | -31.96% |
| Sep 30, 2024 | -67.32% |
| Jun 30, 2024 | -29.59% |
| Mar 31, 2024 | -60.81% |
| Dec 31, 2023 | -20.06% |
| Sep 30, 2023 | -0.59% |
| Jun 30, 2023 | 6.94% |
| Mar 31, 2023 | 18.71% |
| Dec 31, 2022 | 20.64% |
| Sep 30, 2022 | 24.64% |
| Jun 30, 2022 | 20.92% |
| Mar 31, 2022 | 27.28% |
| Dec 31, 2021 | 21.66% |
| Sep 30, 2021 | 20.41% |
Maxlinear EBITDA 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=ebitda-margin&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();