Applied Materials (AMAT) Long-Term Debt Repayments (2009 - 2025)
Applied Materials' Long-Term Debt Repayments was $700 million in FY2025 (year ended Oct 26, 2025).
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Analysis
Applied Materials (AMAT) Long-Term Debt Repayments (2009 - 2025) 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 | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | - |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 1.36 Mn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | - |
| 10 | Texas Instruments | 259.72 Bn | 237.55 Bn | 3.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 26, 2025 | 700.00 Mn |
| Oct 27, 2024 | 90.00 Mn |
| Jul 28, 2024 | -1.00 Mn |
| Apr 28, 2024 | 14.00 Mn |
| Jan 28, 2024 | -1.00 Mn |
| Oct 29, 2023 | -1.00 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_KEYimport 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();