Ultra Clean Holdings (UCTT) Goodwill & Intangibles (2009 - 2026)
Ultra Clean Holdings (UCTT) posted Goodwill & Intangibles of $257.4 million for Q2 2026, down 9.6% from $284.8 million a year earlier and down 2.5% from the prior quarter.
Ultra Clean Holdings (UCTT) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Goodwill & Intangibles came in at $271 million, down 39.8% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Goodwill & Intangibles was $450.2 million in FY2024 (-6.3%), $480.5 million in FY2023 (+10.0%), $436.7 million in FY2022 (-15.3%) and $515.7 million in FY2021 (+55.5%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q2 2018.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last seven quarters, with an average decline of 21.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2021, with growth of 55.9%; the weakest was Q1 2026, with a decline of 40.4%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $264.1 million (Q1 2026), $271 million (Q4 2025) and $277.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 250.60 Mn |
| Jun 26, 2026 | 257.40 Mn |
| Mar 27, 2026 | 264.10 Mn |
| Dec 26, 2025 | 271.00 Mn |
| Sep 26, 2025 | 277.90 Mn |
| Jun 27, 2025 | 284.80 Mn |
| Mar 28, 2025 | 442.90 Mn |
| Dec 27, 2024 | 450.20 Mn |
| Sep 27, 2024 | 457.70 Mn |
| Jun 28, 2024 | 465.20 Mn |
| Mar 29, 2024 | 472.80 Mn |
| Dec 29, 2023 | 480.50 Mn |
| Sep 29, 2023 | 419.70 Mn |
| Jun 30, 2023 | 425.30 Mn |
| Mar 31, 2023 | 430.80 Mn |
| Dec 30, 2022 | 436.70 Mn |
| Sep 30, 2022 | 443.60 Mn |
| Jul 1, 2022 | 458.10 Mn |
| Apr 1, 2022 | 506.10 Mn |
| Dec 31, 2021 | 515.70 Mn |
Ultra Clean Holdings Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();