Axcelis Technologies (ACLS) Other Operating Expenses (2010 - 2026)
Axcelis Technologies (ACLS) posted Other Operating Expenses of $19.55 million for Q2 2026, up 30.3% from $15 million a year earlier and up 12.7% from the prior quarter.
Axcelis Technologies (ACLS) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Axcelis Technologies was $72.15 million, up 13.6% year-over-year; for FY2025, it came in at $65.37 million, down 3.9% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In prior years, Axcelis Technologies' Other Operating Expenses was $68.05 million in FY2024 (+8.3%), $62.81 million in FY2023 (+17.2%), $53.6 million in FY2022 (+12.7%) and $47.55 million in FY2021 (+22.7%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last three quarters, with growth averaging 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2026, with growth of 30.3%; the weakest was Q1 2025, with a decline of 13.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $17.35 million (Q1 2026), $19.4 million (Q4 2025) and $15.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Axcelis Technologies | 4.39 Bn | 2.80 Bn | 91.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.55 Mn |
| Mar 31, 2026 | 17.35 Mn |
| Dec 31, 2025 | 19.40 Mn |
| Sep 30, 2025 | 15.84 Mn |
| Jun 30, 2025 | 15.00 Mn |
| Mar 31, 2025 | 15.12 Mn |
| Dec 31, 2024 | 16.56 Mn |
| Sep 30, 2024 | 16.81 Mn |
| Jun 30, 2024 | 17.23 Mn |
| Mar 31, 2024 | 17.45 Mn |
| Dec 31, 2023 | 16.66 Mn |
| Sep 30, 2023 | 16.47 Mn |
| Jun 30, 2023 | 15.54 Mn |
| Mar 31, 2023 | 14.14 Mn |
| Dec 31, 2022 | 15.03 Mn |
| Sep 30, 2022 | 14.57 Mn |
| Jun 30, 2022 | 12.70 Mn |
| Mar 31, 2022 | 11.29 Mn |
| Dec 31, 2021 | 13.57 Mn |
| Sep 30, 2021 | 11.42 Mn |
Axcelis Technologies Other Operating Expenses 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=other-operating-expenses&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();