Ultra Clean Holdings (UCTT) EV to EBITDA (2011 - 2026)
Ultra Clean Holdings' (UCTT) EV to EBITDA was 46.59 for Q2 2026.
Analysis
Ultra Clean Holdings (UCTT) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 26, 2026, Ultra Clean Holdings' EV to EBITDA came in at 38.09; for FY2024, it came in at 10.20, down 41.7% from FY2023.
- By year, EV to EBITDA came in at 17.50 in FY2023 (+133.8%), 7.49 in FY2022 (-23.6%), 9.79 in FY2021 (+30.0%) and 7.54 in FY2020 (-50.8%).
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA in data going back to Q2 2011.
- The high point for year-over-year EV to EBITDA in five years was Q4 2023 (growth of 133.6%); the low point was Q1 2025 (a decline of 75.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn |
| 10 | Ultra Clean Holdings | 3.56 Bn | 2.43 Bn | 103.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 46.59 |
| Mar 28, 2025 | 5.57 |
| Dec 27, 2024 | 10.19 |
| Sep 27, 2024 | 13.70 |
| Jun 28, 2024 | 21.03 |
| Mar 29, 2024 | 22.59 |
| Dec 29, 2023 | 17.50 |
| Sep 29, 2023 | 9.40 |
| Jun 30, 2023 | 10.29 |
| Mar 31, 2023 | 9.78 |
| Dec 30, 2022 | 7.49 |
| Sep 30, 2022 | 4.25 |
| Jul 1, 2022 | 4.43 |
| Apr 1, 2022 | 6.57 |
| Dec 31, 2021 | 9.79 |
| Sep 24, 2021 | 9.01 |
| Jun 25, 2021 | 11.52 |
| Mar 26, 2021 | 12.58 |
| Dec 25, 2020 | 7.54 |
| Sep 25, 2020 | 5.75 |
API Access
Ultra Clean Holdings 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=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "UCTT", "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=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();