Axcelis Technologies (ACLS) Capital Expenditures (2010 - 2026)
Axcelis Technologies' Capital Expenditures came in at $3.55 million for Q2 2026, up 79.0% from $1.99 million a year earlier and up 93.3% from the prior quarter.
Axcelis Technologies (ACLS) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Axcelis Technologies reported Capital Expenditures of $9.74 million, down 37.2% year-over-year; for FY2025, it came in at $11.3 million, down 7.3% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $12.18 million in FY2024 (-41.0%), $20.66 million in FY2023 (+93.4%), $10.68 million in FY2022 (+22.5%) and $8.72 million in FY2021 (+17.3%).
- The Q2 2026 figure represents the highest quarterly Capital Expenditures since Q1 2025.
- Year-over-year, Capital Expenditures increased in two of the last eight quarters, with growth averaging 5.3%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2025 (growth of 206.2%), and the weakest in Q1 2026 (a decline of 62.9%).
- Business Quant data shows ACLS's Capital Expenditures at $1.84 million (Q1 2026), $2.34 million (Q4 2025) and $2.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,412.01 Bn | 4,186.18 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,847.96 Bn | 1,472.82 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,408.78 Bn | 1,334.83 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 755.30 Bn | 660.94 Bn | 47.05 Bn | 11.11 Bn |
| 5 | Advanced Micro Devices | 674.86 Bn | 631.61 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 533.58 Bn | 489.26 Bn | 5.90 Bn | - |
| 7 | Intel | 280.55 Bn | 126.62 Bn | 7.10 Bn | 4.02 Bn |
| 8 | Texas Instruments | 258.58 Bn | 233.45 Bn | 3.89 Bn | 463.00 Mn |
| 9 | Applied Materials | 257.37 Bn | 222.81 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Axcelis Technologies | 2.76 Bn | 1.16 Bn | 91.19 Mn | 3.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.55 Mn |
| Mar 31, 2026 | 1.84 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 2.02 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 4.96 Mn |
| Dec 31, 2024 | 4.66 Mn |
| Sep 30, 2024 | 3.90 Mn |
| Jun 30, 2024 | 2.00 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 10.15 Mn |
| Sep 30, 2023 | 5.30 Mn |
| Jun 30, 2023 | 2.96 Mn |
| Mar 31, 2023 | 2.24 Mn |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 3.52 Mn |
| Jun 30, 2022 | 1.85 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 3.02 Mn |
| Sep 30, 2021 | 3.31 Mn |
Axcelis Technologies 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=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ACLS", "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=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();