Applied Materials (AMAT) EV to EBITDA (2009 - 2026)
Applied Materials' EV to EBITDA was 43.06 in fiscal Q3 2026 (quarter ended Jul 26, 2026), up 176.7% from 15.56 a year earlier and up 17.2% from the prior quarter.
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Analysis
Applied Materials (AMAT) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Materials' EV to EBITDA was 40.44 through Jul 26, 2026, up 214.4% year-over-year; for FY2025 (ended Oct 26, 2025), it was 19.81, up 14.3% from FY2024.
- EV to EBITDA has now increased for three consecutive fiscal years.
- In earlier fiscal years, EV to EBITDA was 17.33 in FY2024 (+38.1%), 12.55 in FY2023 (+41.2%), 8.89 in FY2022 (-44.4%) and 15.99 in FY2021 (+51.7%).
- The fiscal Q3 2026 figure marks the highest quarterly EV to EBITDA since fiscal Q3 2013.
- Compared with a year earlier, EV to EBITDA has increased for four straight quarters, with growth averaging 54.1% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q2 2026 (growth of 179.7%); the worst was fiscal Q2 2022 (a decline of 45.5%).
- Per Business Quant data, AMAT's EV to EBITDA in the three fiscal quarters before Q3 2026 was 36.74 (Q2 2026), 29.44 (Q1 2026) and 19.81 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | Arm Holdings | 300.61 Bn | 286.32 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 26, 2026 | 43.06 |
| Apr 26, 2026 | 36.74 |
| Jan 25, 2026 | 29.44 |
| Oct 26, 2025 | 19.81 |
| Jul 27, 2025 | 15.56 |
| Apr 27, 2025 | 13.14 |
| Jan 26, 2025 | 16.92 |
| Oct 27, 2024 | 17.33 |
| Jul 28, 2024 | 19.64 |
| Apr 28, 2024 | 19.84 |
| Jan 28, 2024 | 16.12 |
| Oct 29, 2023 | 12.55 |
| Jul 30, 2023 | 14.73 |
| Apr 30, 2023 | 10.85 |
| Jan 29, 2023 | 11.04 |
| Oct 30, 2022 | 8.89 |
| Jul 31, 2022 | 10.64 |
| May 1, 2022 | 11.08 |
| Jan 30, 2022 | 13.94 |
| Oct 31, 2021 | 15.99 |
API Access
Applied Materials EV to 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=ev-to-ebitda&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();