Maxlinear (MXL) Research & Development (2009 - 2026)
Maxlinear (MXL) recorded Research & Development of $60.64 million in Q3 2026, up 11.8% from $54.25 million a year earlier and up 8.2% from the prior quarter.
Maxlinear (MXL) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Maxlinear's Research & Development came in at $221.53 million as of Sep 30, 2026, up 6.4% year-over-year; for FY2025, it came in at $208.6 million, down 7.4% from FY2024.
- Annual Research & Development has declined for three straight years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $225.19 million in FY2024 (-16.4%), $269.5 million in FY2023 (-9.1%), $296.44 million in FY2022 (+6.5%) and $278.44 million in FY2021 (+54.7%).
- The Q3 2026 figure is the highest quarterly Research & Development since Q1 2024.
- On a year-over-year basis, Research & Development rose in four of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 18.7% in Q2 2026, against a decline of 21.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.03 million (Q2 2026), $53.16 million (Q1 2026) and $51.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 2.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 7.05 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 2.90 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.91 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 2.80 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.49 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 1.13 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 60.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.64 Mn |
| Jun 30, 2026 | 56.03 Mn |
| Mar 31, 2026 | 53.16 Mn |
| Dec 31, 2025 | 51.69 Mn |
| Sep 30, 2025 | 54.25 Mn |
| Jun 30, 2025 | 47.20 Mn |
| Mar 31, 2025 | 55.46 Mn |
| Dec 31, 2024 | 51.28 Mn |
| Sep 30, 2024 | 52.60 Mn |
| Jun 30, 2024 | 56.54 Mn |
| Mar 31, 2024 | 64.77 Mn |
| Dec 31, 2023 | 65.25 Mn |
| Sep 30, 2023 | 66.31 Mn |
| Jun 30, 2023 | 70.66 Mn |
| Mar 31, 2023 | 67.29 Mn |
| Dec 31, 2022 | 73.72 Mn |
| Sep 30, 2022 | 76.44 Mn |
| Jun 30, 2022 | 80.40 Mn |
| Mar 31, 2022 | 65.89 Mn |
| Dec 31, 2021 | 73.32 Mn |
Maxlinear Research & Development 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=research-and-development&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();