Maxlinear (MXL) Receivables (2009 - 2026)
Maxlinear's Receivables came in at $73.38 million for Q3 2026, up 38.6% from $52.93 million a year earlier and up 43.8% from the prior quarter.
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Analysis
Maxlinear (MXL) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Receivables was $46.12 million, down 46.0% from FY2024.
- Receivables has declined in each of the last three years, with a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- Going back by year, Receivables was $85.46 million in FY2024 (-49.9%), $170.62 million in FY2023 (-0.2%), $170.97 million in FY2022 (+42.8%) and $119.72 million in FY2021 (+19.4%).
- The Q3 2026 figure represents the highest quarterly Receivables since Q2 2025.
- Year-over-year, Receivables increased in three of the last eight quarters, with an average decline of 19.3%.
- The fastest year-over-year change in Receivables over five years came in Q3 2022 (growth of 66.6%), and the weakest in Q3 2024 (a decline of 69.7%).
- Business Quant data shows MXL's Receivables at $51.04 million (Q2 2026), $40.86 million (Q1 2026) and $46.12 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 31.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 15.18 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 63.30 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 36.65 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 9.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.07 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.09 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 73.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 73.38 Mn |
| Jun 30, 2026 | 51.04 Mn |
| Mar 31, 2026 | 40.86 Mn |
| Dec 31, 2025 | 46.12 Mn |
| Sep 30, 2025 | 52.93 Mn |
| Jun 30, 2025 | 105.82 Mn |
| Mar 31, 2025 | 98.93 Mn |
| Dec 31, 2024 | 85.46 Mn |
| Sep 30, 2024 | 47.93 Mn |
| Jun 30, 2024 | 84.94 Mn |
| Mar 31, 2024 | 126.23 Mn |
| Dec 31, 2023 | 170.62 Mn |
| Sep 30, 2023 | 158.23 Mn |
| Jun 30, 2023 | 155.83 Mn |
| Mar 31, 2023 | 188.73 Mn |
| Dec 31, 2022 | 170.97 Mn |
| Sep 30, 2022 | 178.07 Mn |
| Jun 30, 2022 | 137.07 Mn |
| Mar 31, 2022 | 125.69 Mn |
| Dec 31, 2021 | 119.72 Mn |
API Access
Maxlinear Receivables 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=receivables&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();