Cedar Realty Trust (CDR-PB) Restructuring Costs (2011 - 2017)
Cedar Realty Trust (CDR-PB) recorded Restructuring Costs of $156,000 in FY2017, down 95.4% from $3.43 million in FY2016.
Analysis
Cedar Realty Trust (CDR-PB) Restructuring Costs (2011 - 2017) Analysis & Trends
Starting with FY2010, Cedar Realty Trust's Restructuring Costs history includes 8 years.
- Annual Restructuring Costs has a five-year compound annual growth rate of -33.2% (FY2012 to FY2017).
- The FY2017 figure is the lowest annual Restructuring Costs in data going back to FY2010.
- Per Business Quant data, CDR-PB's Restructuring Costs was $3.43 million in FY2016 (+176.7%), $1.24 million in FY2015 (-56.9%), $2.87 million in FY2014 and $182,000 in FY2013 (-84.5%).
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 | Cedar Realty Trust | 223.19 Mn | 203.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 156,000.00 |
| Dec 31, 2016 | 9,000.00 |
| Sep 30, 2016 | 293,000.00 |
| Jun 30, 2016 | 527,000.00 |
| Mar 31, 2016 | 2.60 Mn |
| Dec 31, 2015 | 739,000.00 |
| Mar 31, 2015 | 499,000.00 |
| Mar 31, 2014 | 2.87 Mn |
| Dec 31, 2013 | 76,000.00 |
| Dec 31, 2011 | 267,000.00 |
API Access
Cedar Realty Trust Restructuring Costs 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=restructuring-costs&ticker=CDR-PB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CDR-PB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();