Applied Materials (AMAT) Total Debt (2009 - 2026)
Applied Materials' Total Debt came in at $6.54 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 4.5% from $6.26 billion a year earlier and up 1.4% from the prior quarter.
Applied Materials (AMAT) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Applied Materials' Total Debt was $6.56 billion, up 4.7% from FY2024.
- Total Debt has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by fiscal year, Total Debt was $6.26 billion in FY2024 (+12.6%), $5.56 billion in FY2023 (+1.9%), $5.46 billion in FY2022 (+0.1%) and $5.45 billion in FY2021 (+0.1%).
- The five-year range for quarterly Total Debt is $5.45 billion (fiscal Q4 2021) to $6.56 billion (fiscal Q4 2025).
- Year-over-year, Total Debt has increased for nine consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- The fastest year-over-year change in Total Debt over five years came in fiscal Q2 2025 (growth of 12.6%), and the weakest in fiscal Q2 2024 (a decline of 1.7%).
- Business Quant data shows AMAT's Total Debt at $6.46 billion (Q2 2026), $6.55 billion (Q1 2026) and $6.56 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 6.80 Bn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 5.18 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | 3.23 Bn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | 5.16 Bn |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 50.54 Bn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 6.54 Bn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | 3.74 Bn |
| 10 | Texas Instruments | 255.25 Bn | 233.08 Bn | 3.35 Bn | 14.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 6.54 Bn |
| Apr 26, 2026 | 6.46 Bn |
| Jan 25, 2026 | 6.55 Bn |
| Oct 26, 2025 | 6.56 Bn |
| Jul 27, 2025 | 6.26 Bn |
| Apr 27, 2025 | 6.26 Bn |
| Jan 26, 2025 | 6.26 Bn |
| Oct 27, 2024 | 6.26 Bn |
| Jul 28, 2024 | 6.26 Bn |
| Apr 28, 2024 | 5.56 Bn |
| Jan 28, 2024 | 5.56 Bn |
| Oct 29, 2023 | 5.56 Bn |
| Jul 30, 2023 | 5.66 Bn |
| Apr 30, 2023 | 5.66 Bn |
| Jan 29, 2023 | 5.66 Bn |
| Oct 30, 2022 | 5.46 Bn |
| Jul 31, 2022 | 5.46 Bn |
| May 1, 2022 | 5.46 Bn |
| Jan 30, 2022 | 5.45 Bn |
| Oct 31, 2021 | 5.45 Bn |
Applied Materials Total Debt 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=total-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();