Applied Materials (AMAT) Short-Term Debt repayments (2009 - 2026)
Applied Materials' Short-Term Debt repayments came in at $200 million for fiscal Q2 2026 (quarter ended Apr 26, 2026), up 100.0% from $100 million a year earlier and unchanged from the prior quarter.
Applied Materials (AMAT) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 26, 2025), Applied Materials' Short-Term Debt repayments was $502 million, up 25.5% from FY2024.
- Going back by fiscal year, Short-Term Debt repayments was $400 million in FY2024 (-55.6%) and $900 million in FY2023.
- The five-year range for quarterly Short-Term Debt repayments is $100 million (fiscal Q1 2023) to $300 million (fiscal Q3 2023).
- Year-over-year, Short-Term Debt repayments increased in three of the last eight quarters, with growth averaging 10.7%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in fiscal Q2 2026 (growth of 100.0%), and the weakest in fiscal Q2 2024 (a decline of 66.7%).
- Business Quant data shows AMAT's Short-Term Debt repayments at $200 million (Q1 2026), $102 million (Q4 2025) and $100 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST 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 | - |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 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 | - |
| 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
| Date | Value |
|---|---|
| Apr 26, 2026 | 200.00 Mn |
| Jan 25, 2026 | 200.00 Mn |
| Oct 26, 2025 | 102.00 Mn |
| Jul 27, 2025 | 100.00 Mn |
| Apr 27, 2025 | 100.00 Mn |
| Jan 26, 2025 | 200.00 Mn |
| Oct 27, 2024 | 100.00 Mn |
| Jul 28, 2024 | 100.00 Mn |
| Apr 28, 2024 | 100.00 Mn |
| Jan 28, 2024 | 100.00 Mn |
| Oct 29, 2023 | 200.00 Mn |
| Jul 30, 2023 | 300.00 Mn |
| Apr 30, 2023 | 300.00 Mn |
| Jan 29, 2023 | 100.00 Mn |
| Jul 31, 2011 | -1.75 Bn |
| Oct 31, 2010 | 441,000.00 |
| Aug 1, 2010 | 1.00 Mn |
| May 2, 2010 | 6.00 Mn |
| Jan 31, 2010 | -1.00 Mn |
| Oct 25, 2009 | 509,000.00 |
Applied Materials Short-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=short-term-debt-repayments&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();