Udr (UDR) Change in Acquisitions & Divestments (2013 - 2015)
Udr's Change in Acquisitions & Divestments was $297.11 million in Q4 2015, up 98.1% from $149.97 million a year earlier.
Analysis
Udr (UDR) Change in Acquisitions & Divestments (2013 - 2015) Analysis & Trends
For FY2015, Change in Acquisitions & Divestments at Udr came in at $387.65 million, up 1.0% from FY2014.
- Change in Acquisitions & Divestments shows a three-year compound annual growth rate of -13.2% (FY2012 to FY2015).
- In earlier years, Change in Acquisitions & Divestments was $383.89 million in FY2014 (+53.5%), $250.04 million in FY2013 (-57.8%) and $593.17 million in FY2012.
- The Q4 2015 figure marks the highest quarterly Change in Acquisitions & Divestments in data going back to Q2 2013.
- Compared with a year earlier, Change in Acquisitions & Divestments was higher in three of the last four quarters, with growth averaging 26.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 177.74 Bn | 163.76 Bn | 1.47 Bn |
| 2 | Prologis | 120.05 Bn | 114.00 Bn | - |
| 3 | Simon Property | 74.18 Bn | 70.24 Bn | - |
| 4 | Public Storage | 62.09 Bn | 60.82 Bn | - |
| 5 | Realty Income | 55.76 Bn | 54.03 Bn | - |
| 6 | Ventas | 45.60 Bn | 44.27 Bn | - |
| 7 | Extra Space Storage | 33.58 Bn | 32.49 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.29 Bn | 25.64 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.52 Bn | 24.30 Bn | - |
| 10 | Udr | 11.76 Bn | 11.75 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 297.11 Mn |
| Jun 30, 2015 | 90.54 Mn |
| Dec 31, 2014 | 149.97 Mn |
| Sep 30, 2014 | 185.99 Mn |
| Jun 30, 2014 | 79.50 Mn |
| Mar 31, 2014 | 47.92 Mn |
| Dec 31, 2013 | 109.21 Mn |
| Jun 30, 2013 | 140.83 Mn |
API Access
Udr Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=UDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "ticker": "UDR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-acquisitions-and-divestments&ticker=UDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();