Ultra Clean Holdings (UCTT) Intangibles (2009 - 2026)
Ultra Clean Holdings (UCTT) posted Intangibles of $156.3 million for Q3 2026, down 4.5% from $163.7 million a year earlier but up 9.1% from the prior quarter.
Powered by 
Analysis
Ultra Clean Holdings (UCTT) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Ultra Clean Holdings' Intangibles came in at $156.8 million, down 15.2% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Ultra Clean Holdings' Intangibles was $184.9 million in FY2024 (-14.1%), $215.3 million in FY2023 (+14.6%), $187.9 million in FY2022 (-23.5%) and $245.7 million in FY2021 (+53.1%).
- Quarterly Intangibles has run from a low of $143.2 million in Q2 2026 to a high of $245.7 million in Q4 2021 over five years.
- On a year-over-year basis, Intangibles has declined in each of the last eight quarters, with an average decline of 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q4 2021, with growth of 53.1%; the weakest was Q3 2022, with a decline of 25.4%.
- According to Business Quant data, Intangibles for the three prior quarters was $143.2 million (Q2 2026), $149.9 million (Q1 2026) and $156.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 2.78 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 | 3.00 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.33 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 | 15.10 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 634.47 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 2.44 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 339.00 Mn |
| 10 | Ultra Clean Holdings | 2.12 Bn | 1.04 Bn | 128.40 Mn | 136.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 136.40 Mn |
| Jun 26, 2026 | 143.20 Mn |
| Mar 27, 2026 | 149.90 Mn |
| Dec 26, 2025 | 156.80 Mn |
| Sep 26, 2025 | 163.70 Mn |
| Jun 27, 2025 | 170.60 Mn |
| Mar 28, 2025 | 177.60 Mn |
| Dec 27, 2024 | 184.90 Mn |
| Sep 27, 2024 | 192.40 Mn |
| Jun 28, 2024 | 200.00 Mn |
| Mar 29, 2024 | 207.60 Mn |
| Dec 29, 2023 | 215.30 Mn |
| Sep 29, 2023 | 170.90 Mn |
| Jun 30, 2023 | 176.50 Mn |
| Mar 31, 2023 | 182.00 Mn |
| Dec 30, 2022 | 187.90 Mn |
| Sep 30, 2022 | 194.80 Mn |
| Jul 1, 2022 | 207.40 Mn |
| Apr 1, 2022 | 237.60 Mn |
| Dec 31, 2021 | 245.70 Mn |
API Access
Ultra Clean Holdings 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=intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();