Axcelis Technologies (ACLS) Cost of Revenue (2010 - 2026)
Axcelis Technologies' Cost of Revenue was $123.99 million in Q2 2026, up 15.7% from $107.2 million a year earlier and up 4.7% from the prior quarter.
Axcelis Technologies (ACLS) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axcelis Technologies' Cost of Revenue was $493.56 million through Jun 30, 2026, unchanged year-over-year; for FY2025, it was $462.2 million, down 17.9% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $563.21 million in FY2024 (-11.9%), $639.3 million in FY2023 (+23.4%), $518.21 million in FY2022 (+37.8%) and $375.98 million in FY2021 (+36.2%).
- Quarterly Cost of Revenue has moved between $100.18 million (Q3 2021) and $172.39 million (Q4 2023) over five years.
- Compared with a year earlier, Cost of Revenue was higher in two of the last eight quarters, with an average decline of 9.1%.
- The best year-over-year quarter for Cost of Revenue over five years was Q4 2021 (growth of 67.9%); the worst was Q2 2025 (a decline of 25.6%).
- Per Business Quant data, ACLS's Cost of Revenue in the three quarters before Q2 2026 was $118.38 million (Q1 2026), $126.4 million (Q4 2025) and $124.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn | 123.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.99 Mn |
| Mar 31, 2026 | 118.38 Mn |
| Dec 31, 2025 | 126.40 Mn |
| Sep 30, 2025 | 124.81 Mn |
| Jun 30, 2025 | 107.20 Mn |
| Mar 31, 2025 | 103.80 Mn |
| Dec 31, 2024 | 136.19 Mn |
| Sep 30, 2024 | 146.59 Mn |
| Jun 30, 2024 | 144.10 Mn |
| Mar 31, 2024 | 136.32 Mn |
| Dec 31, 2023 | 172.39 Mn |
| Sep 30, 2023 | 162.64 Mn |
| Jun 30, 2023 | 154.27 Mn |
| Mar 31, 2023 | 150.00 Mn |
| Dec 31, 2022 | 156.53 Mn |
| Sep 30, 2022 | 125.85 Mn |
| Jun 30, 2022 | 122.00 Mn |
| Mar 31, 2022 | 113.83 Mn |
| Dec 31, 2021 | 116.20 Mn |
| Sep 30, 2021 | 100.18 Mn |
Axcelis Technologies Cost of Revenue 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=cost-of-revenue&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();