Maxlinear (MXL) Non-Current Assets (2009 - 2026)
Maxlinear's Non-Current Assets was $525.23 million in Q3 2026, up 0.2% from $524 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Maxlinear (MXL) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Maxlinear came in at $547.56 million, up 1.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $541.2 million in FY2024 (-8.6%), $592.23 million in FY2023 (-4.0%), $616.9 million in FY2022 (-4.5%) and $646.28 million in FY2021 (-2.2%).
- Quarterly Non-Current Assets has moved between $521.82 million (Q1 2026) and $646.28 million (Q4 2021) over five years.
- Compared with a year earlier, Non-Current Assets was higher in two of the last eight quarters, with an average decline of 4.4%.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2025 (growth of 1.2%); the worst was Q1 2025 (a decline of 8.7%).
- Per Business Quant data, MXL's Non-Current Assets in the three quarters before Q3 2026 was $523.91 million (Q2 2026), $521.82 million (Q1 2026) and $547.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 152.31 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 155.98 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 122.86 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 135.98 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 104.82 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 55.34 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 23.44 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 146.00 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 525.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 525.23 Mn |
| Jun 30, 2026 | 523.91 Mn |
| Mar 31, 2026 | 521.82 Mn |
| Dec 31, 2025 | 547.56 Mn |
| Sep 30, 2025 | 524.00 Mn |
| Jun 30, 2025 | 533.59 Mn |
| Mar 31, 2025 | 534.88 Mn |
| Dec 31, 2024 | 541.20 Mn |
| Sep 30, 2024 | 567.04 Mn |
| Jun 30, 2024 | 575.62 Mn |
| Mar 31, 2024 | 585.95 Mn |
| Dec 31, 2023 | 592.23 Mn |
| Sep 30, 2023 | 595.18 Mn |
| Jun 30, 2023 | 606.99 Mn |
| Mar 31, 2023 | 604.89 Mn |
| Dec 31, 2022 | 616.90 Mn |
| Sep 30, 2022 | 619.72 Mn |
| Jun 30, 2022 | 642.07 Mn |
| Mar 31, 2022 | 644.55 Mn |
| Dec 31, 2021 | 646.28 Mn |
API Access
Maxlinear Non-Current 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=non-current-assets&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();