Applied Materials (AMAT) EBIT (2009 - 2026)
Applied Materials (AMAT) posted EBIT of $3.08 billion for fiscal Q3 2026 (quarter ended Jul 26, 2026), up 37.7% from $2.23 billion a year earlier and up 21.9% from the prior quarter.
Applied Materials (AMAT) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 26, 2026, EBIT at Applied Materials was $9.14 billion, up 6.0% year-over-year; for FY2025 (ended Oct 26, 2025), it was $8.29 billion, up 5.4% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior fiscal years, Applied Materials' EBIT was $7.87 billion in FY2024 (+2.8%), $7.65 billion in FY2023 (-1.7%), $7.79 billion in FY2022 (+13.0%) and $6.89 billion in FY2021 (+57.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBIT in data going back to fiscal Q1 2009.
- On a year-over-year basis, EBIT increased in six of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2021, with growth of 57.0%; the weakest was fiscal Q4 2025, with a decline of 16.3%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $2.52 billion (Q2 2026), $1.83 billion (Q1 2026) and $1.71 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 33.32 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 3.08 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn | 91.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 3.08 Bn |
| Apr 26, 2026 | 2.52 Bn |
| Jan 25, 2026 | 1.83 Bn |
| Oct 26, 2025 | 1.71 Bn |
| Jul 27, 2025 | 2.23 Bn |
| Apr 27, 2025 | 2.17 Bn |
| Jan 26, 2025 | 2.18 Bn |
| Oct 27, 2024 | 2.05 Bn |
| Jul 28, 2024 | 1.94 Bn |
| Apr 28, 2024 | 1.91 Bn |
| Jan 28, 2024 | 1.97 Bn |
| Oct 29, 2023 | 1.97 Bn |
| Jul 30, 2023 | 1.80 Bn |
| Apr 30, 2023 | 1.91 Bn |
| Jan 29, 2023 | 1.97 Bn |
| Oct 30, 2022 | 1.99 Bn |
| Jul 31, 2022 | 1.92 Bn |
| May 1, 2022 | 1.89 Bn |
| Jan 30, 2022 | 1.98 Bn |
| Oct 31, 2021 | 2.01 Bn |
Applied Materials EBIT 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=ebit&ticker=AMAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();