Maxlinear (MXL) Goodwill & Intangibles (2009 - 2026)
Maxlinear (MXL) reported Goodwill & Intangibles of $362.63 million for Q3 2026, down 2.2% from $370.65 million a year earlier but up 0.1% from the prior quarter.
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Analysis
Maxlinear (MXL) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear posted Goodwill & Intangibles of $367.48 million, down 1.6% from FY2024.
- Goodwill & Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- By year, Goodwill & Intangibles came in at $373.6 million in FY2024 (-4.7%), $392.22 million in FY2023 (-5.7%), $416.06 million in FY2022 (-9.4%) and $459.21 million in FY2021 (-8.7%).
- Five-year quarterly Goodwill & Intangibles spans a low of $362.37 million in Q2 2026 and a high of $459.21 million in Q4 2021.
- Year over year, Goodwill & Intangibles has now declined in each of the last 21 quarters, with an average decline of 2.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Goodwill & Intangibles ran from 1.4% in Q1 2026 to 9.4% in Q4 2022.
- Per Business Quant data, the three quarters before Q3 2026 came in at $362.37 million (Q2 2026), $365 million (Q1 2026) and $367.48 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 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 |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 362.63 Mn |
| Jun 30, 2026 | 362.37 Mn |
| Mar 31, 2026 | 365.00 Mn |
| Dec 31, 2025 | 367.48 Mn |
| Sep 30, 2025 | 370.65 Mn |
| Jun 30, 2025 | 372.95 Mn |
| Mar 31, 2025 | 370.18 Mn |
| Dec 31, 2024 | 373.60 Mn |
| Sep 30, 2024 | 376.62 Mn |
| Jun 30, 2024 | 380.37 Mn |
| Mar 31, 2024 | 383.53 Mn |
| Dec 31, 2023 | 392.22 Mn |
| Sep 30, 2023 | 401.10 Mn |
| Jun 30, 2023 | 409.66 Mn |
| Mar 31, 2023 | 415.26 Mn |
| Dec 31, 2022 | 416.06 Mn |
| Sep 30, 2022 | 428.88 Mn |
| Jun 30, 2022 | 434.67 Mn |
| Mar 31, 2022 | 446.87 Mn |
| Dec 31, 2021 | 459.21 Mn |
API Access
Maxlinear Goodwill & 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=goodwill-and-intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();