Axcelis Technologies (ACLS) Property, Plant & Equipment (Net) (2010 - 2026)
Axcelis Technologies (ACLS) recorded Property, Plant & Equipment (Net) of $58.02 million in Q2 2026, up 1.1% from $57.38 million a year earlier and up 0.5% from the prior quarter.
Axcelis Technologies (ACLS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Axcelis Technologies reported Property, Plant & Equipment (Net) of $56.15 million, up 4.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $53.78 million in FY2024 (-0.3%), $53.97 million in FY2023 (+36.1%), $39.66 million in FY2022 (+13.4%) and $34.97 million in FY2021 (+17.2%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 36.1% in Q4 2023, against a decline of 0.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.73 million (Q1 2026), $56.15 million (Q4 2025) and $57.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 58.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.02 Mn |
| Mar 31, 2026 | 57.73 Mn |
| Dec 31, 2025 | 56.15 Mn |
| Sep 30, 2025 | 57.98 Mn |
| Jun 30, 2025 | 57.38 Mn |
| Mar 31, 2025 | 57.03 Mn |
| Dec 31, 2024 | 53.78 Mn |
| Sep 30, 2024 | 54.45 Mn |
| Jun 30, 2024 | 52.42 Mn |
| Mar 31, 2024 | 53.03 Mn |
| Dec 31, 2023 | 53.97 Mn |
| Sep 30, 2023 | 47.17 Mn |
| Jun 30, 2023 | 43.16 Mn |
| Mar 31, 2023 | 40.97 Mn |
| Dec 31, 2022 | 39.66 Mn |
| Sep 30, 2022 | 38.78 Mn |
| Jun 30, 2022 | 35.57 Mn |
| Mar 31, 2022 | 35.50 Mn |
| Dec 31, 2021 | 34.97 Mn |
| Sep 30, 2021 | 32.92 Mn |
Axcelis Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();