Applied Materials (AMAT) Total Current Liabilities (2009 - 2026)
Applied Materials' Total Current Liabilities was $10.36 billion in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 31.4% from $7.88 billion a year earlier and up 15.1% from the prior quarter.
Applied Materials (AMAT) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Total Current Liabilities at Applied Materials came in at $8 billion, down 5.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $8.47 billion in FY2024 (+14.9%), $7.37 billion in FY2023 (-0.1%), $7.38 billion in FY2022 (+16.3%) and $6.34 billion in FY2021 (+42.3%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q3 2009.
- Compared with a year earlier, Total Current Liabilities has increased for three straight quarters, with growth averaging 11.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q4 2021 (growth of 42.3%); 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 Q3 2026 was $9 billion (Q2 2026), $7.75 billion (Q1 2026) and $8 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jan 26, 2025 | 7.74 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();