Maxlinear (MXL) Current Assets (2009 - 2026)
Maxlinear (MXL) recorded Current Assets of $391.2 million in Q3 2026, up 37.7% from $284.13 million a year earlier and up 31.0% from the prior quarter.
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Analysis
Maxlinear (MXL) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear reported Current Assets of $248.84 million, down 23.1% from FY2024.
- Annual Current Assets has declined for three straight years, with a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $323.44 million in FY2024 (-33.7%), $488.03 million in FY2023 (-13.3%), $563.12 million in FY2022 (+39.4%) and $404.1 million in FY2021 (+11.7%).
- The Q3 2026 figure is the highest quarterly Current Assets since Q2 2024.
- On a year-over-year basis, Current Assets rose in 1 of the last eight quarters, with an average decline of 13.6%.
- Peak year-over-year performance for Current Assets in the last five years was growth of 42.5% in Q2 2022, against a decline of 35.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $298.66 million (Q2 2026), $249.45 million (Q1 2026) and $248.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 101.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 159.65 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 197.41 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 52.17 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 91.07 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 39.47 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 35.97 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 82.57 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 27.14 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 391.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 391.20 Mn |
| Jun 30, 2026 | 298.66 Mn |
| Mar 31, 2026 | 249.45 Mn |
| Dec 31, 2025 | 248.84 Mn |
| Sep 30, 2025 | 284.13 Mn |
| Jun 30, 2025 | 330.15 Mn |
| Mar 31, 2025 | 320.41 Mn |
| Dec 31, 2024 | 323.44 Mn |
| Sep 30, 2024 | 328.26 Mn |
| Jun 30, 2024 | 397.58 Mn |
| Mar 31, 2024 | 444.68 Mn |
| Dec 31, 2023 | 488.03 Mn |
| Sep 30, 2023 | 508.61 Mn |
| Jun 30, 2023 | 554.49 Mn |
| Mar 31, 2023 | 593.59 Mn |
| Dec 31, 2022 | 563.12 Mn |
| Sep 30, 2022 | 562.98 Mn |
| Jun 30, 2022 | 538.62 Mn |
| Mar 31, 2022 | 454.58 Mn |
| Dec 31, 2021 | 404.10 Mn |
API Access
Maxlinear 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=current-assets&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();