Applied Materials (AMAT) Total Current Liabilities (2009 - 2026)
Applied Materials' Total Current Liabilities was $11.58 billion in fiscal Q4 2026 (quarter ended Oct 25, 2026), up 44.8% from $8 billion a year earlier and up 11.8% from the prior quarter.
Applied Materials (AMAT) Total Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q1 2009 onward, Applied Materials has reported Total Current Liabilities for 71 quarters.
- Total Current Liabilities shows a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $8 billion in FY2025 (-5.5%), $8.47 billion in FY2024 (+14.9%), $7.37 billion in FY2023 (-0.1%) and $7.38 billion in FY2022 (+16.3%).
- The fiscal Q4 2026 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q1 2009.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 18.1% over the last six quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q4 2026 (growth of 44.8%); the worst was fiscal Q2 2024 (a decline of 12.5%).
- Per Business Quant data, AMAT's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $10.36 billion (Q3 2026), $9 billion (Q2 2026) and $7.75 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 7.31 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 11.58 Bn |
| Jul 26, 2026 | 10.36 Bn |
| Apr 26, 2026 | 9.00 Bn |
| Jan 25, 2026 | 7.75 Bn |
| Oct 26, 2025 | 8.00 Bn |
| Jul 27, 2025 | 7.88 Bn |
| Apr 27, 2025 | 8.00 Bn |
| Oct 27, 2024 | 8.47 Bn |
| Jul 28, 2024 | 7.23 Bn |
| Apr 28, 2024 | 6.88 Bn |
| Jan 28, 2024 | 7.08 Bn |
| Oct 29, 2023 | 7.37 Bn |
| Jul 30, 2023 | 8.22 Bn |
| Apr 30, 2023 | 7.87 Bn |
| Jan 29, 2023 | 7.25 Bn |
| Oct 30, 2022 | 7.38 Bn |
| Jul 31, 2022 | 6.83 Bn |
| May 1, 2022 | 6.65 Bn |
| Jan 30, 2022 | 6.26 Bn |
| Oct 31, 2021 | 6.34 Bn |
Applied Materials Total Current 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-current-liabilities&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();