Maxlinear (MXL) Revenue (2010 - 2026)
Maxlinear (MXL) posted Revenue of $168.85 million for Q2 2026, up 55.2% from $108.81 million a year earlier and up 23.1% from the prior quarter.
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Analysis
Maxlinear (MXL) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Maxlinear was $568.93 million, up 50.5% 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 Q2 2026 figure stands as the highest quarterly Revenue since Q2 2023.
- On a year-over-year basis, Revenue has increased in each of the last six quarters, with growth averaging 19.3% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2025, with growth of 55.9%; the weakest was Q1 2024, with a decline of 61.7%.
- According to Business Quant data, Revenue for the three prior quarters was $137.19 million (Q1 2026), $136.44 million (Q4 2025) and $126.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 41.46 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 11.31 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 6.72 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 9.12 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 168.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 229.77 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();