Maxlinear (MXL) Capital Expenditures (2010 - 2026)
Maxlinear (MXL) reported Capital Expenditures of $2.34 million for Q2 2026, up 99.5% from $1.17 million a year earlier and up 68.9% from the prior quarter.
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Analysis
Maxlinear (MXL) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Maxlinear's Capital Expenditures came in at $13.16 million, up 38.7% 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%).
- Five-year quarterly Capital Expenditures spans a low of $1.17 million in Q2 2025 and a high of $16.63 million in Q4 2022.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 28.3%.
- 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 Q2 2026 came in at $1.38 million (Q1 2026), $3.71 million (Q4 2025) and $5.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 2.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 9.62 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();