Maxlinear (MXL) Accounts Payables (2009 - 2026)
Maxlinear's Accounts Payables came in at $36.47 million for Q3 2026, up 16.1% from $31.41 million a year earlier but down 9.7% from the prior quarter.
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Analysis
Maxlinear (MXL) Accounts Payables (2009 - 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 five-year range for quarterly Accounts Payables is $18.36 million (Q1 2025) to $90.85 million (Q3 2022).
- Year-over-year, Accounts Payables has increased for five consecutive quarters, with growth averaging 18.3% 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 $40.4 million (Q2 2026), $32.89 million (Q1 2026) and $37.92 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 3.79 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 15.06 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.00 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 22.61 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.76 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 4.14 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 8.83 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.70 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 36.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.47 Mn |
| 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 |
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();