Maxlinear (MXL) Assets (2010 - 2026)
Maxlinear (MXL) posted Assets of $822.57 million for Q2 2026, down 4.8% from $863.74 million a year earlier but up 6.7% from the prior quarter.
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Analysis
Maxlinear (MXL) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Assets came in at $796.4 million, down 7.9% from FY2024.
- Annual Assets has declined for three consecutive years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Maxlinear's Assets was $864.64 million in FY2024 (-20.0%), $1.08 billion in FY2023 (-8.5%), $1.18 billion in FY2022 (+12.3%) and $1.05 billion in FY2021 (+2.7%).
- Quarterly Assets has run from a low of $771.27 million in Q1 2026 to a high of $1.2 billion in Q1 2023 over five years.
- On a year-over-year basis, Assets has declined in each of the last 13 quarters, with an average decline of 12.4% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q2 2022, with growth of 15.0%; the weakest was Q4 2024, with a decline of 20.0%.
- According to Business Quant data, Assets for the three prior quarters was $771.27 million (Q1 2026), $796.4 million (Q4 2025) and $808.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 320.27 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 188.15 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 134.11 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 84.46 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 58.86 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 202.44 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 23.53 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 43.52 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 822.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 822.57 Mn |
| Mar 31, 2026 | 771.27 Mn |
| Dec 31, 2025 | 796.40 Mn |
| Sep 30, 2025 | 808.13 Mn |
| Jun 30, 2025 | 863.74 Mn |
| Mar 31, 2025 | 855.28 Mn |
| Dec 31, 2024 | 864.64 Mn |
| Sep 30, 2024 | 895.30 Mn |
| Jun 30, 2024 | 973.20 Mn |
| Mar 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.16 Bn |
| Mar 31, 2023 | 1.20 Bn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 1.18 Bn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.05 Bn |
| Sep 30, 2021 | 1.05 Bn |
API Access
Maxlinear Assets 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=assets&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();