Applied Materials (AMAT) Enterprise Value (2009 - 2026)
Applied Materials (AMAT) posted Enterprise Value of $299.38 billion for fiscal Q4 2026 (quarter ended Oct 25, 2026), up 73.2% from $172.83 billion a year earlier but down 28.1% from the prior quarter.
Applied Materials (AMAT) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2026 (ended Oct 25, 2026), Applied Materials' Enterprise Value came in at $299.15 billion, up 73.1% from FY2025.
- Annual Enterprise Value has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 20.8% (FY2021 to FY2026).
- In prior fiscal years, Applied Materials' Enterprise Value was $172.83 billion in FY2025 (+20.8%), $143.1 billion in FY2024 (+39.6%), $102.5 billion in FY2023 (+40.1%) and $73.14 billion in FY2022 (-37.2%).
- Quarterly Enterprise Value has run from a low of $73.14 billion in fiscal Q4 2022 to a high of $416.33 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last three quarters, with growth averaging 71.6% over the last six quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2026, with growth of 195.5%; the weakest was fiscal Q4 2022, with a decline of 37.2%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $416.33 billion (Q3 2026), $322.87 billion (Q2 2026) and $247.33 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 299.38 Bn |
| Jul 26, 2026 | 416.33 Bn |
| Apr 26, 2026 | 322.87 Bn |
| Jan 25, 2026 | 247.33 Bn |
| Oct 26, 2025 | 172.83 Bn |
| Jul 27, 2025 | 140.91 Bn |
| Apr 27, 2025 | 114.87 Bn |
| Dec 31, 2024 | 134.50 Bn |
| Oct 27, 2024 | 143.10 Bn |
| Jul 28, 2024 | 161.11 Bn |
| Apr 28, 2024 | 160.84 Bn |
| Jan 28, 2024 | 131.18 Bn |
| Oct 29, 2023 | 102.50 Bn |
| Jul 30, 2023 | 120.56 Bn |
| Apr 30, 2023 | 89.82 Bn |
| Jan 29, 2023 | 91.03 Bn |
| Oct 30, 2022 | 73.14 Bn |
| Jul 31, 2022 | 87.63 Bn |
| May 1, 2022 | 92.08 Bn |
| Jan 30, 2022 | 111.27 Bn |
Applied Materials Enterprise Value 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=enterprise-value&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();