Axcelis Technologies (ACLS) Long-Term Debt Repayments (2014 - 2026)
Axcelis Technologies (ACLS) reported Long-Term Debt Repayments of $394,000 for Q2 2026, up 20.5% from $327,000 a year earlier and up 5.3% from the prior quarter.
Axcelis Technologies (ACLS) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Axcelis Technologies' Long-Term Debt Repayments came in at $1.45 million, down 1.1% year-over-year; for FY2025, it was $1.36 million, down 11.0% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 27.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $1.53 million in FY2024 (+23.0%), $1.24 million in FY2023 (+25.6%), $987,000 in FY2022 (+29.4%) and $763,000 in FY2021 (+91.2%).
- The Q2 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q4 2024.
- Year over year, Long-Term Debt Repayments gained in four of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2021 (growth of 38.9%); the low point was Q4 2025 (a decline of 13.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $374,000 (Q1 2026), $345,000 (Q4 2025) and $336,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,149.21 Bn | 4,923.37 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,238.65 Bn | 1,864.83 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,647.03 Bn | 1,573.08 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,056.66 Bn | 962.30 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 924.40 Bn | 881.14 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 645.84 Bn | 601.53 Bn | 5.90 Bn | - |
| 7 | Intel | 464.31 Bn | 480.95 Bn | 7.10 Bn | - |
| 8 | Applied Materials | 334.63 Bn | 300.07 Bn | 4.59 Bn | - |
| 9 | Lam Research | 317.77 Bn | 293.82 Bn | 4.30 Bn | 34.49 Mn |
| 10 | Axcelis Technologies | 3.46 Bn | 1.87 Bn | 91.19 Mn | 394,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 394,000.00 |
| Mar 31, 2026 | 374,000.00 |
| Dec 31, 2025 | 345,000.00 |
| Sep 30, 2025 | 336,000.00 |
| Jun 30, 2025 | 327,000.00 |
| Mar 31, 2025 | 349,000.00 |
| Dec 31, 2024 | 400,000.00 |
| Sep 30, 2024 | 389,000.00 |
| Jun 30, 2024 | 379,000.00 |
| Mar 31, 2024 | 357,000.00 |
| Dec 31, 2023 | 325,000.00 |
| Sep 30, 2023 | 317,000.00 |
| Jun 30, 2023 | 309,000.00 |
| Mar 31, 2023 | 289,000.00 |
| Dec 31, 2022 | 259,000.00 |
| Sep 30, 2022 | 253,000.00 |
| Jun 30, 2022 | 246,000.00 |
| Mar 31, 2022 | 229,000.00 |
| Dec 31, 2021 | 201,000.00 |
| Sep 30, 2021 | 200,000.00 |
Axcelis Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ACLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ACLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();