Universal Health Realty Income Trust (UHT) Buildings (2010 - 2016)
Universal Health Realty Income Trust's Buildings was $478.41 million in Q1 2016, up 1.8% from the prior quarter.
Analysis
Universal Health Realty Income Trust (UHT) Buildings (2010 - 2016) Analysis & Trends
At the end of FY2015, Buildings at Universal Health Realty Income Trust came in at $469.93 million, up 4.2% from FY2014.
- Buildings shows a five-year compound annual growth rate of 21.1% (FY2010 to FY2015).
- In earlier years, Buildings was $451.01 million in FY2014 and $338.65 million in FY2011 (+87.4%).
- The Q1 2016 figure marks the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - |
| 10 | Universal Health Realty Income Trust | 528.43 Mn | 528.43 Mn | 23.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 478.41 Mn |
| Dec 31, 2015 | 469.93 Mn |
| Sep 30, 2015 | 468.57 Mn |
| Dec 31, 2014 | 451.01 Mn |
| Sep 30, 2012 | 366.32 Mn |
| Mar 31, 2012 | 364.20 Mn |
| Dec 31, 2011 | 338.65 Mn |
| Sep 30, 2011 | 202.26 Mn |
| Jun 30, 2011 | 181.12 Mn |
| Dec 31, 2010 | 180.75 Mn |
API Access
Universal Health Realty Income Trust 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=UHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "UHT", "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=UHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();