Applied Materials (AMAT) Total Liabilities (2009 - 2026)
Applied Materials' Total Liabilities came in at $19.29 billion for fiscal Q4 2026 (quarter ended Oct 25, 2026), up 21.5% from $15.88 billion a year earlier and up 7.8% from the prior quarter.
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Analysis
Applied Materials (AMAT) Total Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q1 2009, Applied Materials' Total Liabilities data covers 71 quarters.
- Total Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $15.88 billion in FY2025 (+3.1%), $15.41 billion in FY2024 (+7.1%), $14.38 billion in FY2023 (-1.0%) and $14.53 billion in FY2022 (+7.0%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q1 2009.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 10.6% over the last six 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 $17.9 billion (Q3 2026), $16.38 billion (Q2 2026) and $15.93 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 12.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 19.29 Bn |
| 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 |
| 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 |
API Access
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_KEYimport 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();