Applied Materials (AMAT) Cash & Equivalents (2009 - 2026)
Applied Materials' Cash & Equivalents was $7.24 billion in fiscal Q4 2026 (quarter ended Oct 25, 2026), unchanged from $7.24 billion a year earlier and up 2.9% from the prior quarter.
Powered by 
Analysis
Applied Materials (AMAT) Cash & Equivalents (2009 - 2026) Analysis & Trends
From fiscal Q1 2009 onward, Applied Materials has reported Cash & Equivalents for 71 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of 7.7% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $7.24 billion in FY2025 (-9.7%), $8.02 billion in FY2024 (+30.8%), $6.13 billion in FY2023 (+207.4%) and $2 billion in FY2022 (-60.1%).
- Quarterly Cash & Equivalents has moved between $2 billion (fiscal Q4 2022) and $8.29 billion (fiscal Q3 2024) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last six quarters, with an average decline of 4.1%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2023 (growth of 207.4%); the worst was fiscal Q4 2022 (a decline of 60.1%).
- Per Business Quant data, AMAT's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $7.04 billion (Q3 2026), $6.3 billion (Q2 2026) and $7.22 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 17.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 113.72 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 22.44 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 23.98 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 38.36 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.40 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 15.17 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 21.85 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 7.24 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 7.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 7.24 Bn |
| Jul 26, 2026 | 7.04 Bn |
| Apr 26, 2026 | 6.30 Bn |
| Jan 25, 2026 | 7.22 Bn |
| Oct 26, 2025 | 7.24 Bn |
| Jul 27, 2025 | 5.38 Bn |
| Apr 27, 2025 | 6.17 Bn |
| Oct 27, 2024 | 8.02 Bn |
| Jul 28, 2024 | 8.29 Bn |
| Apr 28, 2024 | 7.09 Bn |
| Jan 28, 2024 | 6.85 Bn |
| Oct 29, 2023 | 6.13 Bn |
| Jul 30, 2023 | 6.03 Bn |
| Apr 30, 2023 | 4.59 Bn |
| Jan 29, 2023 | 3.55 Bn |
| Oct 30, 2022 | 2.00 Bn |
| Jul 31, 2022 | 2.96 Bn |
| May 1, 2022 | 3.33 Bn |
| Jan 30, 2022 | 5.26 Bn |
| Oct 31, 2021 | 5.00 Bn |
API Access
Applied Materials Cash & Equivalents 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=cash-and-equivalents&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();