Applied Materials (AMAT) Enterprise Value (2009 - 2026)
Applied Materials (AMAT) posted Enterprise Value of $416.33 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 195.5% from $140.91 billion a year earlier and up 28.9% from the prior quarter.
Applied Materials (AMAT) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 26, 2026, Enterprise Value at Applied Materials was $391.01 billion, up 235.7% year-over-year; for FY2025 (ended Oct 26, 2025), it was $172.83 billion, up 20.8% from FY2024.
- Annual Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- In prior fiscal years, Applied Materials' Enterprise Value was $143.1 billion in FY2024 (+39.6%), $102.5 billion in FY2023 (+40.1%), $73.14 billion in FY2022 (-37.2%) and $116.43 billion in FY2021 (+133.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Enterprise Value in data going back to fiscal Q1 2009.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 59.7% over the last eight 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 $322.87 billion (Q2 2026), $247.33 billion (Q1 2026) and $172.83 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jan 26, 2025 | 143.51 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 |
| Oct 31, 2021 | 116.43 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_KEYimport 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();