Amtech Systems (ASYS) Total Liabilities (2010 - 2026)
Amtech Systems' Total Liabilities came in at $41.11 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.9% from $37.75 million a year earlier but down 0.7% from the prior quarter.
Amtech Systems (ASYS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amtech Systems' Total Liabilities was $39.49 million, up 6.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $36.96 million in FY2024 (-24.0%), $48.66 million in FY2023 (+38.4%), $35.17 million in FY2022 (+12.4%) and $31.28 million in FY2021 (+52.0%).
- The five-year range for quarterly Total Liabilities is $31.28 million (fiscal Q4 2021) to $50.71 million (fiscal Q2 2023).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2022 (growth of 67.8%), and the weakest in fiscal Q2 2024 (a decline of 29.8%).
- Business Quant data shows ASYS's Total Liabilities at $41.4 million (Q2 2026), $40.05 million (Q1 2026) and $39.49 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,359.29 Bn | 5,133.46 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,225.11 Bn | 1,849.98 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,611.84 Bn | 1,537.88 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,033.09 Bn | 938.72 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 904.71 Bn | 861.46 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 653.81 Bn | 609.50 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 473.45 Bn | 342.58 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 335.91 Bn | 312.71 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 326.50 Bn | 291.94 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Amtech Systems | 217.24 Mn | 69.73 Mn | 11.19 Mn | 41.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.11 Mn |
| Mar 31, 2026 | 41.40 Mn |
| Dec 31, 2025 | 40.05 Mn |
| Sep 30, 2025 | 39.49 Mn |
| Jun 30, 2025 | 37.75 Mn |
| Mar 31, 2025 | 32.37 Mn |
| Dec 31, 2024 | 35.33 Mn |
| Sep 30, 2024 | 36.96 Mn |
| Jun 30, 2024 | 45.34 Mn |
| Mar 31, 2024 | 35.58 Mn |
| Dec 31, 2023 | 45.42 Mn |
| Sep 30, 2023 | 48.66 Mn |
| Jun 30, 2023 | 47.66 Mn |
| Mar 31, 2023 | 50.71 Mn |
| Dec 31, 2022 | 33.30 Mn |
| Sep 30, 2022 | 35.17 Mn |
| Jun 30, 2022 | 36.08 Mn |
| Mar 31, 2022 | 37.03 Mn |
| Dec 31, 2021 | 36.07 Mn |
| Sep 30, 2021 | 31.28 Mn |
Amtech Systems Total Liabilities 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=total-liabilities&ticker=ASYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ASYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();