Maxlinear (MXL) Revenue (2009 - 2026)
Maxlinear (MXL) posted Revenue of $218.06 million for Q3 2026, up 72.4% from $126.46 million a year earlier and up 29.1% from the prior quarter.
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Analysis
Maxlinear (MXL) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Revenue at Maxlinear was $660.53 million, up 56.0% year-over-year; for FY2025, it came in at $467.64 million, up 29.7% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Maxlinear's Revenue was $360.53 million in FY2024 (-48.0%), $693.26 million in FY2023 (-38.1%), $1.12 billion in FY2022 (+25.5%) and $892.4 million in FY2021 (+86.5%).
- The Q3 2026 figure stands as the highest quarterly Revenue since Q1 2023.
- On a year-over-year basis, Revenue has increased in each of the last seven quarters, with growth averaging 33.4% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2026, with growth of 72.4%; the weakest was Q1 2024, with a decline of 61.7%.
- According to Business Quant data, Revenue for the three prior quarters was $168.85 million (Q2 2026), $137.19 million (Q1 2026) and $136.44 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.87 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 46.73 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 96.22 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 29.59 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 54.23 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 13.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 11.31 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 16.51 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 10.41 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 218.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 218.06 Mn |
| Jun 30, 2026 | 168.85 Mn |
| Mar 31, 2026 | 137.19 Mn |
| Dec 31, 2025 | 136.44 Mn |
| Sep 30, 2025 | 126.46 Mn |
| Jun 30, 2025 | 108.81 Mn |
| Mar 31, 2025 | 95.93 Mn |
| Dec 31, 2024 | 92.17 Mn |
| Sep 30, 2024 | 81.10 Mn |
| Jun 30, 2024 | 91.99 Mn |
| Mar 31, 2024 | 95.27 Mn |
| Dec 31, 2023 | 125.35 Mn |
| Sep 30, 2023 | 135.53 Mn |
| Jun 30, 2023 | 183.94 Mn |
| Mar 31, 2023 | 248.44 Mn |
| Dec 31, 2022 | 290.59 Mn |
| Sep 30, 2022 | 285.73 Mn |
| Jun 30, 2022 | 280.01 Mn |
| Mar 31, 2022 | 263.93 Mn |
| Dec 31, 2021 | 247.89 Mn |
API Access
Maxlinear Revenue 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=revenue&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();