Maxlinear (MXL) Capital Expenditures (2009 - 2026)
Maxlinear (MXL) reported Capital Expenditures of $5.94 million for Q3 2026, up 3.7% from $5.73 million a year earlier and up 154.1% from the prior quarter.
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Analysis
Maxlinear (MXL) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Maxlinear's Capital Expenditures came in at $13.37 million, up 20.6% year-over-year; for FY2025, it came in at $12.6 million, down 28.7% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $17.68 million in FY2024 (+31.4%), $13.45 million in FY2023 (-67.4%), $41.25 million in FY2022 (+5.3%) and $39.18 million in FY2021 (+213.7%).
- The Q3 2026 figure ranks as the highest quarterly Capital Expenditures since Q1 2024.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 14.4%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 419.8%); the low point was Q4 2023 (a decline of 92.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.34 million (Q2 2026), $1.38 million (Q1 2026) and $3.71 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -7.11 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 2.68 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -1.01 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 11.11 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 648.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 684.00 Mn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 5.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.94 Mn |
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | 1.38 Mn |
| Dec 31, 2025 | 3.71 Mn |
| Sep 30, 2025 | 5.73 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.99 Mn |
| Dec 31, 2024 | 2.19 Mn |
| Sep 30, 2024 | 4.13 Mn |
| Jun 30, 2024 | 3.01 Mn |
| Mar 31, 2024 | 8.34 Mn |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 1.93 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 5.22 Mn |
| Dec 31, 2022 | 16.63 Mn |
| Sep 30, 2022 | 9.12 Mn |
| Jun 30, 2022 | 10.71 Mn |
| Mar 31, 2022 | 4.80 Mn |
| Dec 31, 2021 | 12.24 Mn |
API Access
Maxlinear Capital Expenditures 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=capital-expenditures&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();