Entegris (ENTG) Buildings (2010 - 2024)
Entegris (ENTG) reported Buildings of $849.84 million for Q4 2024, up 9.0% from $779.59 million a year earlier.
Analysis
Entegris (ENTG) Buildings (2010 - 2024) Analysis & Trends
Dating back to Q4 2010, Entegris' Buildings record includes 15 quarters.
- Buildings has increased for 14 consecutive years, with a five-year compound annual growth rate of 31.0% (FY2019 to FY2024).
- By year, Buildings came in at $779.59 million in FY2023 (+58.8%), $490.9 million in FY2022 (+74.7%), $281.02 million in FY2021 (+17.8%) and $238.59 million in FY2020 (+8.2%).
- The Q4 2024 figure ranks as the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,752.74 Bn | 5,526.91 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,454.32 Bn | 2,078.70 Bn | 27.22 Bn |
| 3 | Broadcom | 1,795.45 Bn | 1,721.49 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,226.14 Bn | 1,164.90 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,055.46 Bn | 1,012.21 Bn | 6.20 Bn |
| 6 | Asml Holding | 701.18 Bn | 657.01 Bn | 5.90 Bn |
| 7 | Intel | 577.72 Bn | 446.85 Bn | 6.51 Bn |
| 8 | Applied Materials | 413.66 Bn | 379.10 Bn | 4.59 Bn |
| 9 | Lam Research | 413.46 Bn | 390.26 Bn | 3.48 Bn |
| 10 | Entegris | 25.46 Bn | 23.90 Bn | 420.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 849.84 Mn |
| Dec 31, 2023 | 779.59 Mn |
| Dec 31, 2022 | 490.90 Mn |
| Dec 31, 2021 | 281.02 Mn |
| Dec 31, 2020 | 238.59 Mn |
| Dec 31, 2019 | 220.56 Mn |
| Dec 31, 2018 | 185.18 Mn |
| Dec 31, 2017 | 174.62 Mn |
| Dec 31, 2016 | 155.77 Mn |
| Dec 31, 2015 | 155.34 Mn |
| Dec 31, 2014 | 150.45 Mn |
| Dec 31, 2013 | 109.11 Mn |
| Dec 31, 2012 | 85.24 Mn |
| Dec 31, 2011 | 75.60 Mn |
| Dec 31, 2010 | 73.84 Mn |
API Access
Entegris Buildings 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=buildings&ticker=ENTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "ENTG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=ENTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();