Maxlinear (MXL) Accounts Payables (2010 - 2026)
Maxlinear's Accounts Payables came in at $40.4 million for Q2 2026, up 50.4% from $26.86 million a year earlier and up 22.8% from the prior quarter.
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Analysis
Maxlinear (MXL) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Accounts Payables was $37.92 million, up 20.8% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $31.38 million in FY2024 (+45.6%), $21.55 million in FY2023 (-68.6%), $68.58 million in FY2022 (+29.4%) and $52.98 million in FY2021 (+61.8%).
- The Q2 2026 figure represents the highest quarterly Accounts Payables since Q3 2023.
- Year-over-year, Accounts Payables has increased for four consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q1 2026 (growth of 79.2%), and the weakest in Q4 2023 (a decline of 68.6%).
- Business Quant data shows MXL's Accounts Payables at $32.89 million (Q1 2026), $37.92 million (Q4 2025) and $31.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 15.06 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.45 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.00 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 15.52 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.36 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.10 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 8.76 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.30 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.79 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 40.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.40 Mn |
| Mar 31, 2026 | 32.89 Mn |
| Dec 31, 2025 | 37.92 Mn |
| Sep 30, 2025 | 31.41 Mn |
| Jun 30, 2025 | 26.86 Mn |
| Mar 31, 2025 | 18.36 Mn |
| Dec 31, 2024 | 31.38 Mn |
| Sep 30, 2024 | 30.63 Mn |
| Jun 30, 2024 | 35.63 Mn |
| Mar 31, 2024 | 32.39 Mn |
| Dec 31, 2023 | 21.55 Mn |
| Sep 30, 2023 | 45.20 Mn |
| Jun 30, 2023 | 45.90 Mn |
| Mar 31, 2023 | 54.58 Mn |
| Dec 31, 2022 | 68.58 Mn |
| Sep 30, 2022 | 90.85 Mn |
| Jun 30, 2022 | 73.14 Mn |
| Mar 31, 2022 | 60.21 Mn |
| Dec 31, 2021 | 52.98 Mn |
| Sep 30, 2021 | 63.64 Mn |
API Access
Maxlinear Accounts Payables 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=accounts-payables&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();