Applied Materials (AMAT) Cash & Equivalents (2009 - 2026)
Applied Materials' Cash & Equivalents was $7.04 billion in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 30.7% from $5.38 billion a year earlier and up 11.7% from the prior quarter.
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Analysis
Applied Materials (AMAT) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Cash & Equivalents at Applied Materials came in at $7.24 billion, down 9.7% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $8.02 billion in FY2024 (+30.8%), $6.13 billion in FY2023 (+207.4%), $2 billion in FY2022 (-60.1%) and $5 billion in FY2021 (-6.7%).
- 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 has increased for three straight quarters, with growth averaging 1.6% over the last eight quarters.
- 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 Q3 2026 was $6.3 billion (Q2 2026), $7.22 billion (Q1 2026) and $7.24 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,162.15 Bn | 4,936.31 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,179.84 Bn | 1,804.71 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,557.58 Bn | 1,483.62 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,001.45 Bn | 907.08 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 851.63 Bn | 808.37 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 611.65 Bn | 567.34 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 446.40 Bn | 315.53 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Applied Materials | 304.10 Bn | 269.54 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 289.95 Bn | 266.00 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Texas Instruments | 259.89 Bn | 237.72 Bn | 3.35 Bn | 3.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jan 26, 2025 | 6.26 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();