Amtech Systems (ASYS) Accumulated Expenses (2010 - 2026)
Amtech Systems (ASYS) recorded Accumulated Expenses of $776,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 49.0% from $1.52 million a year earlier and down 10.0% from the prior quarter.
Amtech Systems (ASYS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amtech Systems reported Accumulated Expenses of $726,000, up 52.2% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $477,000 in FY2024 (-69.2%), $1.55 million in FY2023 (+72.3%), $900,000 in FY2022 (-0.3%) and $903,000 in FY2021 (+44.0%).
- Quarterly Accumulated Expenses has ranged from $447,000 in fiscal Q1 2025 to $3.12 million in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with an average decline of 11.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 314.6% in fiscal Q2 2023, against a decline of 69.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $862,000 (Q2 2026), $662,000 (Q1 2026) and $726,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,163.11 Bn | 4,937.27 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,146.59 Bn | 1,771.46 Bn | 27.22 Bn |
| 3 | Broadcom | 1,542.49 Bn | 1,468.54 Bn | 20.46 Bn |
| 4 | Micron Technology | 985.71 Bn | 891.35 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 833.89 Bn | 790.63 Bn | 6.20 Bn |
| 6 | Asml Holding | 617.24 Bn | 572.93 Bn | 5.90 Bn |
| 7 | Intel | 444.05 Bn | 313.18 Bn | 6.51 Bn |
| 8 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn |
| 9 | Lam Research | 292.77 Bn | 269.57 Bn | 3.48 Bn |
| 10 | Amtech Systems | 192.30 Mn | 44.80 Mn | 11.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 776,000.00 |
| Mar 31, 2026 | 862,000.00 |
| Dec 31, 2025 | 662,000.00 |
| Sep 30, 2025 | 726,000.00 |
| Jun 30, 2025 | 1.52 Mn |
| Mar 31, 2025 | 705,000.00 |
| Dec 31, 2024 | 447,000.00 |
| Sep 30, 2024 | 477,000.00 |
| Jun 30, 2024 | 1.35 Mn |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 1.55 Mn |
| Jun 30, 2023 | 3.12 Mn |
| Mar 31, 2023 | 2.82 Mn |
| Dec 31, 2022 | 2.72 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 679,000.00 |
| Dec 31, 2021 | 709,000.00 |
| Sep 30, 2021 | 903,000.00 |
Amtech Systems 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=accumulated-expenses&ticker=ASYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ASYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();