Ultra Clean Holdings (UCTT) Amortizatization of Intangibles (2012 - 2019)
Ultra Clean Holdings (UCTT) posted Amortizatization of Intangibles of $5.1 million for Q2 2019, up 325.0% from $1.2 million a year earlier and up 5.1% from the prior quarter.
Ultra Clean Holdings (UCTT) Amortizatization of Intangibles (2012 - 2019) Analysis & Trends
For the trailing twelve months through Jun 28, 2019, Amortizatization of Intangibles at Ultra Clean Holdings was $17.33 million, up 230.5% year-over-year; for FY2018, it was $9.58 million, up 76.2% from FY2017.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 9.8% (FY2013 to FY2018).
- In prior years, Ultra Clean Holdings' Amortizatization of Intangibles was $5.44 million in FY2017 (-5.6%), $5.76 million in FY2016 (-7.3%), $6.21 million in FY2015 (+27.2%) and $4.88 million in FY2014 (-18.5%).
- The Q2 2019 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2012.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last four quarters, with growth averaging 118.5% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2019, with growth of 342.1%; the weakest was Q4 2016, with a decline of 33.6%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $4.85 million (Q1 2019), $4.97 million (Q4 2018) and $2.4 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Ultra Clean Holdings | 3.29 Bn | 2.16 Bn | 103.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2019 | 5.10 Mn |
| Mar 29, 2019 | 4.85 Mn |
| Dec 28, 2018 | 4.97 Mn |
| Sep 28, 2018 | 2.40 Mn |
| Jun 29, 2018 | 1.20 Mn |
| Mar 30, 2018 | 1.10 Mn |
| Dec 29, 2017 | 1.74 Mn |
| Sep 29, 2017 | 1.20 Mn |
| Jun 30, 2017 | 1.20 Mn |
| Mar 31, 2017 | 1.23 Mn |
| Dec 30, 2016 | 1.44 Mn |
| Sep 23, 2016 | 1.40 Mn |
| Jun 24, 2016 | 1.40 Mn |
| Mar 25, 2016 | 1.44 Mn |
| Dec 25, 2015 | 2.17 Mn |
| Sep 25, 2015 | 1.60 Mn |
| Jun 26, 2015 | 1.40 Mn |
| Mar 27, 2015 | 1.14 Mn |
| Dec 26, 2014 | 1.22 Mn |
| Sep 26, 2014 | 1.20 Mn |
Ultra Clean Holdings Amortizatization of 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=amortizatization-of-intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=UCTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();