Applied Materials (AMAT) Net Long-Term Debt Issued (Repaid) (2011 - 2025)
Applied Materials (AMAT) reported Non-Current Debt of $2.18 billion for fiscal Q2 2017 (quarter ended Apr 30, 2017).
Applied Materials (AMAT) Net Long-Term Debt Issued (Repaid) (2011 - 2025) Analysis & Trends
Over the twelve months ended Apr 30, 2017, Applied Materials' Non-Current Debt came in at $2.17 billion, up 58.0% year-over-year; for FY2016 (ended Oct 30, 2016), it was -$1.21 billion.
- By fiscal year, Non-Current Debt came in at $2.58 billion in FY2015 and -$1 million in FY2012.
- The fiscal Q2 2017 figure ranks as the highest quarterly Non-Current Debt since fiscal Q4 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 590.43 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | -5.63 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | -663.00 Mn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 4.73 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | -119.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | - |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | -500.00 Mn |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | -34.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 26, 2025 | 291.00 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 |
| 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 | 1.75 Bn |
Applied Materials Net Long-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=non-current-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();