Applied Materials (AMAT) Net Debt Issuances and Repayments (2009 - 2026)
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Analysis
Applied Materials (AMAT) Net Debt Issuances and Repayments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,548.00 Bn | 5,322.16 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,336.53 Bn | 1,951.23 Bn | 27.22 Bn | 590.43 Mn |
| 3 | Broadcom | 1,727.51 Bn | 1,653.55 Bn | 20.46 Bn | -5.63 Bn |
| 4 | Micron Technology | 1,163.70 Bn | 1,102.47 Bn | 35.06 Bn | -4.75 Bn |
| 5 | Advanced Micro Devices | 995.52 Bn | 952.27 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 691.47 Bn | 647.30 Bn | 5.90 Bn | - |
| 7 | Intel | 538.91 Bn | 408.04 Bn | 6.51 Bn | -7.50 Bn |
| 8 | Applied Materials | 403.71 Bn | 369.16 Bn | 4.59 Bn | 99.00 Mn |
| 9 | Lam Research | 401.59 Bn | 378.38 Bn | 3.48 Bn | -1.36 Mn |
| 10 | Arm Holdings | 282.12 Bn | 267.83 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 99.00 Mn |
| Apr 26, 2026 | -100.00 Mn |
| Oct 26, 2025 | 292.00 Mn |
| Oct 27, 2024 | -89.00 Mn |
| Jul 28, 2024 | 1.00 Mn |
| Apr 28, 2024 | -14.00 Mn |
| Jan 28, 2024 | 1.00 Mn |
| Oct 29, 2023 | -100.00 Mn |
| Jul 30, 2023 | -2.00 Mn |
| Apr 30, 2023 | -2.00 Mn |
| Jan 29, 2023 | 188.00 Mn |
| Jul 26, 2020 | 1.48 Bn |
| Apr 30, 2017 | 2.18 Bn |
| Jul 31, 2016 | -2.00 Mn |
| Jan 31, 2016 | -1.21 Bn |
| Oct 25, 2015 | 2.58 Bn |
| Jul 29, 2012 | -1.00 Mn |
| Oct 30, 2011 | -14.00 Mn |
| Jul 31, 2011 | 3.49 Bn |
| Oct 31, 2010 | -441,000.00 |
API Access
Applied Materials Net Debt Issuances and 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=net-debt-issuances-and-repayments&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-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=net-debt-issuances-and-repayments&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();