Tower Semiconductor (TSEM) EV to EBITDA (2009 - 2026)
Tower Semiconductor's EV to EBITDA came in at 24.23 for FY2025, up 145.6% from 9.87 in FY2024.
Analysis
Tower Semiconductor (TSEM) EV to EBITDA (2009 - 2026) Analysis & Trends
Going back to FY2009, Tower Semiconductor's EV to EBITDA data covers 17 years.
- The FY2025 figure represents the highest annual EV to EBITDA in data going back to FY2009.
- Per Business Quant, earlier years put EV to EBITDA at 9.87 in FY2024 (+171.0%), 3.64 in FY2023 (-48.1%), 7.01 in FY2022 (-24.5%) and 9.29 in FY2021 (+29.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,277.47 Bn | 5,051.63 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,215.31 Bn | 1,840.18 Bn | 27.22 Bn |
| 3 | Broadcom | 1,613.15 Bn | 1,539.19 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,033.46 Bn | 939.10 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 891.80 Bn | 848.55 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.41 Bn | 596.09 Bn | 5.90 Bn |
| 7 | Intel | 477.15 Bn | 346.29 Bn | 6.51 Bn |
| 8 | Lam Research | 335.80 Bn | 312.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.29 Bn | 289.73 Bn | 4.59 Bn |
| 10 | Tower Semiconductor | 21.67 Bn | 16.31 Bn | 137.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.65 |
| Mar 31, 2026 | 33.94 |
| Dec 31, 2025 | 24.23 |
| Sep 30, 2025 | 14.53 |
| Jun 30, 2025 | 7.80 |
| Mar 31, 2025 | 5.94 |
| Dec 31, 2024 | 9.87 |
| Sep 30, 2024 | 8.39 |
| Jun 30, 2024 | 4.23 |
| Mar 31, 2024 | 3.48 |
| Dec 31, 2023 | 2.89 |
| Sep 30, 2023 | 1.89 |
| Jun 30, 2023 | 5.66 |
| Mar 31, 2023 | 6.26 |
| Dec 31, 2022 | 6.47 |
| Sep 30, 2022 | 7.23 |
| Jun 30, 2022 | 8.33 |
| Mar 31, 2022 | 9.69 |
| Dec 31, 2021 | 8.47 |
| Sep 30, 2021 | 10.88 |
API Access
Tower Semiconductor 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=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TSEM", "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=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();