Ultra Clean Holdings (UCTT) EV to EBIT (2011 - 2026)
Ultra Clean Holdings' EV to EBIT was 83.40 in Q2 2026.
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Analysis
Ultra Clean Holdings (UCTT) EV to EBIT (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ultra Clean Holdings' EV to EBIT was 68.18 through Jun 26, 2026; for FY2024, it was 15.30, down 57.7% from FY2023.
- In earlier years, EV to EBIT was 36.19 in FY2023 (+266.6%), 9.87 in FY2022 (-14.8%), 11.59 in FY2021 (+27.6%) and 9.09 in FY2020 (-65.5%).
- The Q2 2026 figure marks the highest quarterly EV to EBIT in data going back to Q1 2011.
- The best year-over-year quarter for EV to EBIT over five years was Q4 2023 (growth of 266.3%); the worst was Q1 2025 (a decline of 81.2%).
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 | 83.40 |
| Mar 28, 2025 | 8.51 |
| Dec 27, 2024 | 15.29 |
| Sep 27, 2024 | 22.28 |
| Jun 28, 2024 | 38.59 |
| Mar 29, 2024 | 45.24 |
| Dec 29, 2023 | 36.19 |
| Sep 29, 2023 | 14.02 |
| Jun 30, 2023 | 13.88 |
| Mar 31, 2023 | 14.00 |
| Dec 30, 2022 | 9.88 |
| Sep 30, 2022 | 5.46 |
| Jul 1, 2022 | 5.56 |
| Apr 1, 2022 | 7.86 |
| Dec 31, 2021 | 11.59 |
| Sep 24, 2021 | 10.75 |
| Jun 25, 2021 | 13.78 |
| Mar 26, 2021 | 14.85 |
| Dec 25, 2020 | 9.09 |
| Sep 25, 2020 | 7.27 |
API Access
Ultra Clean Holdings EV to 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=ev-to-ebit&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();