Applied Materials (AMAT) Operating Expenses (2009 - 2026)
Applied Materials' Operating Expenses came in at $1.51 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 13.7% from $1.33 billion a year earlier and up 6.1% from the prior quarter.
Powered by 
Analysis
Applied Materials (AMAT) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 26, 2026, Applied Materials reported Operating Expenses of $6.09 billion, up 15.9% year-over-year; for FY2025 (ended Oct 26, 2025), it came in at $5.52 billion, up 9.7% from FY2024.
- Operating Expenses has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $5.03 billion in FY2024 (+6.3%), $4.73 billion in FY2023 (+12.5%), $4.21 billion in FY2022 (+4.5%) and $4.03 billion in FY2021 (+21.0%).
- The five-year range for quarterly Operating Expenses is $931 million (fiscal Q4 2021) to $1.6 billion (fiscal Q1 2026).
- Year-over-year, Operating Expenses has increased for 17 consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2026 (growth of 21.4%), and the weakest in fiscal Q1 2022 (a decline of 7.8%).
- Business Quant data shows AMAT's Operating Expenses at $1.42 billion (Q2 2026), $1.6 billion (Q1 2026) and $1.55 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | -1.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 1.51 Bn |
| Apr 26, 2026 | 1.42 Bn |
| Jan 25, 2026 | 1.60 Bn |
| Oct 26, 2025 | 1.55 Bn |
| Jul 27, 2025 | 1.33 Bn |
| Apr 27, 2025 | 1.32 Bn |
| Jan 26, 2025 | 1.32 Bn |
| Oct 27, 2024 | 1.29 Bn |
| Jul 28, 2024 | 1.26 Bn |
| Apr 28, 2024 | 1.24 Bn |
| Jan 28, 2024 | 1.24 Bn |
| Oct 29, 2023 | 1.20 Bn |
| Jul 30, 2023 | 1.17 Bn |
| Apr 30, 2023 | 1.18 Bn |
| Jan 29, 2023 | 1.18 Bn |
| Oct 30, 2022 | 1.11 Bn |
| Jul 31, 2022 | 1.08 Bn |
| May 1, 2022 | 1.03 Bn |
| Jan 30, 2022 | 983.00 Mn |
| Oct 31, 2021 | 931.00 Mn |
API Access
Applied Materials Operating Expenses 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=operating-expenses&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();