Applied Materials (AMAT) Intangibles (2009 - 2026)
Applied Materials' Intangibles came in at $315 million for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 32.4% from $238 million a year earlier but down 4.5% from the prior quarter.
Applied Materials (AMAT) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Applied Materials' Intangibles was $226 million, down 9.2% from FY2024.
- Intangibles has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by fiscal year, Intangibles was $249 million in FY2024 (-15.3%), $294 million in FY2023 (-13.3%), $339 million in FY2022 (+226.0%) and $104 million in FY2021 (-32.0%).
- The five-year range for quarterly Intangibles is $85 million (fiscal Q2 2022) to $339 million (fiscal Q4 2022).
- Year-over-year, Intangibles increased in two of the last eight quarters, with an average decline of 0.4%.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q2 2023 (growth of 285.9%), and the weakest in fiscal Q2 2022 (a decline of 33.1%).
- Business Quant data shows AMAT's Intangibles at $330 million (Q2 2026), $215 million (Q1 2026) and $226 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,121.87 Bn | 4,896.03 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,163.25 Bn | 1,788.11 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,540.47 Bn | 1,466.51 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 988.67 Bn | 894.30 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 843.09 Bn | 799.84 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 610.45 Bn | 566.14 Bn | 5.90 Bn | 634.47 Mn |
| 7 | Intel | 442.06 Bn | 311.19 Bn | 6.51 Bn | 2.55 Bn |
| 8 | Applied Materials | 300.27 Bn | 265.71 Bn | 4.59 Bn | 315.00 Mn |
| 9 | Lam Research | 287.93 Bn | 263.98 Bn | 4.30 Bn | - |
| 10 | Texas Instruments | 258.99 Bn | 236.81 Bn | 3.35 Bn | 314.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 315.00 Mn |
| Apr 26, 2026 | 330.00 Mn |
| Jan 25, 2026 | 215.00 Mn |
| Oct 26, 2025 | 226.00 Mn |
| Jul 27, 2025 | 238.00 Mn |
| Apr 27, 2025 | 249.00 Mn |
| Jan 26, 2025 | 237.00 Mn |
| Oct 27, 2024 | 249.00 Mn |
| Jul 28, 2024 | 262.00 Mn |
| Apr 28, 2024 | 273.00 Mn |
| Jan 28, 2024 | 283.00 Mn |
| Oct 29, 2023 | 294.00 Mn |
| Jul 30, 2023 | 305.00 Mn |
| Apr 30, 2023 | 328.00 Mn |
| Jan 29, 2023 | 332.00 Mn |
| Oct 30, 2022 | 339.00 Mn |
| Jul 31, 2022 | 337.00 Mn |
| May 1, 2022 | 85.00 Mn |
| Jan 30, 2022 | 94.00 Mn |
| Oct 31, 2021 | 104.00 Mn |
Applied Materials Intangibles 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=intangibles&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();