Applied Materials (AMAT) Total Liabilities (2009 - 2026)
Applied Materials' Total Liabilities came in at $17.9 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 21.7% from $14.71 billion a year earlier and up 9.3% from the prior quarter.
Applied Materials (AMAT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Applied Materials' Total Liabilities was $15.88 billion, up 3.1% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $15.41 billion in FY2024 (+7.1%), $14.38 billion in FY2023 (-1.0%), $14.53 billion in FY2022 (+7.0%) and $13.58 billion in FY2021 (+15.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q3 2009.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2026 (growth of 21.7%), and the weakest in fiscal Q2 2024 (a decline of 8.1%).
- Business Quant data shows AMAT's Total Liabilities at $16.38 billion (Q2 2026), $15.93 billion (Q1 2026) and $15.88 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 2.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 17.90 Bn |
| Apr 26, 2026 | 16.38 Bn |
| Jan 25, 2026 | 15.93 Bn |
| Oct 26, 2025 | 15.88 Bn |
| Jul 27, 2025 | 14.71 Bn |
| Apr 27, 2025 | 14.67 Bn |
| Jan 26, 2025 | 14.71 Bn |
| Oct 27, 2024 | 15.41 Bn |
| Jul 28, 2024 | 14.81 Bn |
| Apr 28, 2024 | 13.75 Bn |
| Jan 28, 2024 | 14.11 Bn |
| Oct 29, 2023 | 14.38 Bn |
| Jul 30, 2023 | 15.32 Bn |
| Apr 30, 2023 | 14.96 Bn |
| Jan 29, 2023 | 14.54 Bn |
| Oct 30, 2022 | 14.53 Bn |
| Jul 31, 2022 | 14.09 Bn |
| May 1, 2022 | 13.88 Bn |
| Jan 30, 2022 | 13.54 Bn |
| Oct 31, 2021 | 13.58 Bn |
Applied Materials Total Liabilities 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-liabilities&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();