Maxlinear (MXL) Gains from Sales and Divestitures (2015 - 2025)
Maxlinear (MXL) recorded Gains from Sales and Divestitures of -$86,000 in Q4 2025.
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Analysis
Maxlinear (MXL) Gains from Sales and Divestitures (2015 - 2025) Analysis & Trends
For FY2025, Maxlinear reported Gains from Sales and Divestitures of -$1.25 million.
- Across earlier years, Gains from Sales and Divestitures came in at -$1.07 million in FY2024, -$2.06 million in FY2023, -$170,000 in FY2022 and -$533,000 in FY2021.
- The Q4 2025 figure is the highest quarterly Gains from Sales and Divestitures since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -86,000.00 |
| Sep 30, 2025 | -261,000.00 |
| Jun 30, 2025 | -900,000.00 |
| Sep 30, 2024 | -623,000.00 |
| Jun 30, 2024 | -55,000.00 |
| Mar 31, 2024 | -390,000.00 |
| Sep 30, 2023 | -16,000.00 |
| Jun 30, 2023 | -2.00 Mn |
| Mar 31, 2023 | -40,000.00 |
| Dec 31, 2022 | -3,000.00 |
| Sep 30, 2022 | -3,000.00 |
| Jun 30, 2022 | -5,000.00 |
| Mar 31, 2022 | -159,000.00 |
| Sep 30, 2021 | -145,000.00 |
| Jun 30, 2021 | -20,000.00 |
| Mar 31, 2021 | -368,000.00 |
| Jun 30, 2019 | -11,000.00 |
| Mar 31, 2019 | -35,000.00 |
| Dec 31, 2018 | -430,000.00 |
| Dec 31, 2017 | 33,000.00 |
API Access
Maxlinear Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();