Maxlinear (MXL) Intangibles (2009 - 2026)
Maxlinear's Intangibles came in at $44.05 million for Q3 2026, down 15.4% from $52.07 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Maxlinear (MXL) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Intangibles was $48.89 million, down 11.1% from FY2024.
- Intangibles has declined in each of the last five years, with a five-year compound annual growth rate of -24.6% (FY2020 to FY2025).
- Going back by year, Intangibles was $55.01 million in FY2024 (-25.3%), $73.63 million in FY2023 (-32.6%), $109.32 million in FY2022 (-28.3%) and $152.54 million in FY2021 (-23.8%).
- The five-year range for quarterly Intangibles is $43.78 million (Q2 2026) to $152.54 million (Q4 2021).
- Year-over-year, Intangibles has declined for 21 consecutive quarters, with an average decline of 15.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 10.0% in Q1 2026 to 32.6% in Q4 2023.
- Business Quant data shows MXL's Intangibles at $43.78 million (Q2 2026), $46.41 million (Q1 2026) and $48.89 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 2.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 3.00 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.33 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 15.10 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 634.47 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 2.44 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 339.00 Mn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 44.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.05 Mn |
| Jun 30, 2026 | 43.78 Mn |
| Mar 31, 2026 | 46.41 Mn |
| Dec 31, 2025 | 48.89 Mn |
| Sep 30, 2025 | 52.07 Mn |
| Jun 30, 2025 | 54.36 Mn |
| Mar 31, 2025 | 51.59 Mn |
| Dec 31, 2024 | 55.01 Mn |
| Sep 30, 2024 | 58.03 Mn |
| Jun 30, 2024 | 61.79 Mn |
| Mar 31, 2024 | 64.94 Mn |
| Dec 31, 2023 | 73.63 Mn |
| Sep 30, 2023 | 82.64 Mn |
| Jun 30, 2023 | 91.20 Mn |
| Mar 31, 2023 | 96.35 Mn |
| Dec 31, 2022 | 109.32 Mn |
| Sep 30, 2022 | 122.14 Mn |
| Jun 30, 2022 | 127.93 Mn |
| Mar 31, 2022 | 140.15 Mn |
| Dec 31, 2021 | 152.54 Mn |
API Access
Maxlinear Intangibles 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=intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();