Applied Materials (AMAT) Net Short-Term Debt Issued (Repaid) (2009 - 2026)
Applied Materials' Net Short-Term Debt Issued (Repaid) came in at $99 million for fiscal Q3 2026 (quarter ended Jul 26, 2026).
Applied Materials (AMAT) Net Short-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 26, 2025), Applied Materials' Net Short-Term Debt Issued (Repaid) was $1 million, unchanged from FY2024.
- Going back by fiscal year, Net Short-Term Debt Issued (Repaid) was $1 million in FY2024 (-98.9%) and $91 million in FY2023.
- The fiscal Q3 2026 figure represents the highest quarterly Net Short-Term Debt Issued (Repaid) since fiscal Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | - |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | -875.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | - |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 99.00 Mn |
| Apr 26, 2026 | -100.00 Mn |
| Oct 26, 2025 | 1.00 Mn |
| Dec 31, 2024 | 801.00 Mn |
| Oct 27, 2024 | 1.00 Mn |
| Oct 29, 2023 | -101.00 Mn |
| Jul 30, 2023 | -3.00 Mn |
| Apr 30, 2023 | -3.00 Mn |
| Jan 29, 2023 | 198.00 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 | 1.98 Mn |
| Oct 25, 2009 | -509,000.00 |
| Jul 26, 2009 | 82,000.00 |
| Jan 25, 2009 | 510,000.00 |
Applied Materials Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();