Axcelis Technologies (ACLS) Other Accumulated Expenses (2010 - 2026)
Axcelis Technologies (ACLS) recorded Other Accumulated Expenses of $25.42 million in Q2 2026, up 19.9% from $21.2 million a year earlier but down 40.0% from the prior quarter.
Axcelis Technologies (ACLS) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Axcelis Technologies reported Other Accumulated Expenses of $33.15 million, up 27.4% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $26.02 million in FY2024 (+102.7%), $12.83 million in FY2023 (-0.8%), $12.94 million in FY2022 (+2.4%) and $12.64 million in FY2021 (+41.3%).
- Quarterly Other Accumulated Expenses has ranged from $12.33 million in Q1 2023 to $42.35 million in Q1 2026 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for ten consecutive quarters, with growth averaging 54.6% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 105.4% in Q3 2021, against a decline of 21.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.35 million (Q1 2026), $33.15 million (Q4 2025) and $29.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Axcelis Technologies | 3.08 Bn | 1.46 Bn | 97.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.76 Mn |
| Jun 30, 2026 | 25.42 Mn |
| Mar 31, 2026 | 42.35 Mn |
| Dec 31, 2025 | 33.15 Mn |
| Sep 30, 2025 | 29.92 Mn |
| Jun 30, 2025 | 21.20 Mn |
| Mar 31, 2025 | 22.88 Mn |
| Dec 31, 2024 | 26.02 Mn |
| Sep 30, 2024 | 20.52 Mn |
| Jun 30, 2024 | 17.98 Mn |
| Mar 31, 2024 | 12.89 Mn |
| Dec 31, 2023 | 12.83 Mn |
| Sep 30, 2023 | 12.80 Mn |
| Jun 30, 2023 | 13.02 Mn |
| Mar 31, 2023 | 12.33 Mn |
| Dec 31, 2022 | 12.94 Mn |
| Sep 30, 2022 | 13.92 Mn |
| Jun 30, 2022 | 13.96 Mn |
| Mar 31, 2022 | 15.75 Mn |
| Dec 31, 2021 | 12.64 Mn |
Axcelis Technologies Other Accumulated 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-accumulated-expenses&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();