Applied Materials (AMAT) EBITDA (2009 - 2026)
Applied Materials (AMAT) recorded EBITDA of $3.23 billion in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 37.5% from $2.35 billion a year earlier and up 21.4% from the prior quarter.
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Analysis
Applied Materials (AMAT) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Materials' EBITDA came in at $9.67 billion as of Jul 26, 2026, up 6.8% year-over-year; for FY2025 (ended Oct 26, 2025), it was $8.72 billion, up 5.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $8.26 billion in FY2024 (+1.1%), $8.17 billion in FY2023 (-0.8%), $8.23 billion in FY2022 (+13.0%) and $7.28 billion in FY2021 (+53.6%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2009.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 8.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 53.6% in fiscal Q4 2021, against a decline of 15.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.66 billion (Q2 2026), $1.96 billion (Q1 2026) and $1.83 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 30.56 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 3.61 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 5.75 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 3.23 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 3.45 Bn |
| 10 | Lam Research | 251.05 Bn | 227.10 Bn | 4.30 Bn | 3.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 3.23 Bn |
| Apr 26, 2026 | 2.66 Bn |
| Jan 25, 2026 | 1.96 Bn |
| Oct 26, 2025 | 1.83 Bn |
| Jul 27, 2025 | 2.35 Bn |
| Apr 27, 2025 | 2.27 Bn |
| Jan 26, 2025 | 2.28 Bn |
| Oct 27, 2024 | 2.16 Bn |
| Jul 28, 2024 | 2.04 Bn |
| Apr 28, 2024 | 2.01 Bn |
| Jan 28, 2024 | 2.06 Bn |
| Oct 29, 2023 | 2.10 Bn |
| Jul 30, 2023 | 1.94 Bn |
| Apr 30, 2023 | 2.04 Bn |
| Jan 29, 2023 | 2.09 Bn |
| Oct 30, 2022 | 2.12 Bn |
| Jul 31, 2022 | 2.03 Bn |
| May 1, 2022 | 2.01 Bn |
| Jan 30, 2022 | 2.08 Bn |
| Oct 31, 2021 | 2.12 Bn |
API Access
Applied Materials EBITDA 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=ebitda&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();