Maxlinear (MXL) Receivables (2010 - 2026)
Maxlinear's Receivables came in at $51.04 million for Q2 2026, down 51.8% from $105.82 million a year earlier but up 24.9% from the prior quarter.
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Analysis
Maxlinear (MXL) Receivables (2010 - 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 five-year range for quarterly Receivables is $40.86 million (Q1 2026) to $188.73 million (Q1 2023).
- Year-over-year, Receivables has declined for three consecutive quarters, with an average decline of 32.8% over the last eight quarters.
- 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 $40.86 million (Q1 2026), $46.12 million (Q4 2025) and $52.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 51.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 106.87 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();