Applied Materials (AMAT) Goodwill & Intangibles (2009 - 2026)
Applied Materials' Goodwill & Intangibles came in at $4.19 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 5.1% from $3.99 billion a year earlier and up 0.8% from the prior quarter.
Applied Materials (AMAT) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 26, 2025), Applied Materials' Goodwill & Intangibles was $3.93 billion, down 1.2% from FY2024.
- Goodwill & Intangibles has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Going back by fiscal year, Goodwill & Intangibles was $3.98 billion in FY2024 (-1.1%), $4.03 billion in FY2023 (-0.3%), $4.04 billion in FY2022 (+12.7%) and $3.58 billion in FY2021 (-1.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Goodwill & Intangibles since fiscal Q1 2015.
- Year-over-year, Goodwill & Intangibles increased in two of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q1 2023 (growth of 13.4%), and the weakest in fiscal Q1 2026 (a decline of 2.1%).
- Business Quant data shows AMAT's Goodwill & Intangibles at $4.15 billion (Q2 2026), $3.92 billion (Q1 2026) and $3.93 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 4.19 Bn |
| Apr 26, 2026 | 4.15 Bn |
| Jan 25, 2026 | 3.92 Bn |
| Oct 26, 2025 | 3.93 Bn |
| Jul 27, 2025 | 3.99 Bn |
| Apr 27, 2025 | 4.00 Bn |
| Jan 26, 2025 | 4.01 Bn |
| Oct 27, 2024 | 3.98 Bn |
| Jul 28, 2024 | 3.99 Bn |
| Apr 28, 2024 | 4.01 Bn |
| Jan 28, 2024 | 4.02 Bn |
| Oct 29, 2023 | 4.03 Bn |
| Jul 30, 2023 | 4.04 Bn |
| Apr 30, 2023 | 4.04 Bn |
| Jan 29, 2023 | 4.05 Bn |
| Oct 30, 2022 | 4.04 Bn |
| Jul 31, 2022 | 4.05 Bn |
| May 1, 2022 | 3.56 Bn |
| Jan 30, 2022 | 3.57 Bn |
| Oct 31, 2021 | 3.58 Bn |
Applied Materials Goodwill & 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=goodwill-and-intangibles&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();