Axcelis Technologies (ACLS) Research & Development (2010 - 2026)
Axcelis Technologies' Research & Development was $28.98 million in Q2 2026, up 7.1% from $27.06 million a year earlier and up 1.6% from the prior quarter.
Axcelis Technologies (ACLS) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axcelis Technologies' Research & Development was $112.26 million through Jun 30, 2026, up 3.7% year-over-year; for FY2025, it was $108.96 million, up 3.3% from FY2024.
- Research & Development has now increased for ten consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $105.5 million in FY2024 (+8.9%), $96.91 million in FY2023 (+23.7%), $78.36 million in FY2022 (+19.8%) and $65.43 million in FY2021 (+5.8%).
- Quarterly Research & Development has moved between $16.42 million (Q4 2021) and $30.13 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for three straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2023 (growth of 40.1%); the worst was Q3 2025 (a decline of 6.6%).
- Per Business Quant data, ACLS's Research & Development in the three quarters before Q2 2026 was $28.52 million (Q1 2026), $30.13 million (Q4 2025) and $24.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 7.05 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 2.31 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 2.90 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 1.32 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 2.53 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 3.37 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 642.92 Mn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 1.10 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 28.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.98 Mn |
| Mar 31, 2026 | 28.52 Mn |
| Dec 31, 2025 | 30.13 Mn |
| Sep 30, 2025 | 24.64 Mn |
| Jun 30, 2025 | 27.06 Mn |
| Mar 31, 2025 | 27.13 Mn |
| Dec 31, 2024 | 27.65 Mn |
| Sep 30, 2024 | 26.40 Mn |
| Jun 30, 2024 | 25.79 Mn |
| Mar 31, 2024 | 25.66 Mn |
| Dec 31, 2023 | 24.91 Mn |
| Sep 30, 2023 | 24.09 Mn |
| Jun 30, 2023 | 24.13 Mn |
| Mar 31, 2023 | 23.77 Mn |
| Dec 31, 2022 | 22.09 Mn |
| Sep 30, 2022 | 20.56 Mn |
| Jun 30, 2022 | 18.73 Mn |
| Mar 31, 2022 | 16.97 Mn |
| Dec 31, 2021 | 16.42 Mn |
| Sep 30, 2021 | 16.71 Mn |
Axcelis Technologies Research & Development 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=research-and-development&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();