Applied Materials (AMAT) Long-Term Debt Repayments (2009 - 2024)
Applied Materials' Long-Term Debt Repayments was $700 million in FY2025 (year ended Oct 26, 2025).
Analysis
Applied Materials (AMAT) Long-Term Debt Repayments (2009 - 2024) Analysis & Trends
From FY2016 onward, Applied Materials has reported Long-Term Debt Repayments for 4 fiscal years.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -24.7% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Long-Term Debt Repayments since FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | -1.58 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 4.75 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 7.50 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | - |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 27, 2024 | -12.00 Mn |
| Oct 29, 2023 | -8.00 Mn |
| Jul 30, 2023 | -1.00 Mn |
| Apr 30, 2023 | -1.00 Mn |
| Jan 29, 2023 | 10.00 Mn |
| Oct 25, 2009 | -241,000.00 |
API Access
Applied Materials 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=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AMAT", "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=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();