Cbl & Associates Properties (CBL) EBITDA Margin (2009 - 2013)
Cbl & Associates Properties' EBITDA Margin came in at 56.95% for Q2 2019, down 5.91 percentage points from the prior quarter.
Cbl & Associates Properties (CBL) EBITDA Margin (2009 - 2013) Analysis & Trends
Over the trailing twelve months to Jun 30, 2013, Cbl & Associates Properties reported EBITDA Margin of 60.79%; for FY2012, it was 62.61%, up 2.20 percentage points from FY2011.
- EBITDA Margin carries a three-year change of +7.10 percentage points (FY2009 to FY2012).
- Going back by year, EBITDA Margin was 60.41% in FY2011 (-5.89 pp), 66.30% in FY2010 (+10.79 pp) and 55.51% in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 80.02% |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 75.19% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 87.42% |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 61.19% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Cbl & Associates Properties | 1.62 Bn | 1.61 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 56.95% |
| Mar 31, 2013 | 62.86% |
| Dec 31, 2012 | 59.63% |
| Sep 30, 2012 | 63.81% |
| Jun 30, 2012 | 64.53% |
| Mar 31, 2012 | 62.88% |
| Dec 31, 2011 | 67.26% |
| Sep 30, 2011 | 46.29% |
| Jun 30, 2011 | 65.10% |
| Mar 31, 2011 | 63.14% |
| Dec 31, 2010 | 67.60% |
| Sep 30, 2010 | 64.75% |
| Jun 30, 2010 | 65.87% |
| Mar 31, 2010 | 64.47% |
| Dec 31, 2009 | 28.35% |
| Sep 30, 2009 | 55.12% |
| Jun 30, 2009 | 64.72% |
Cbl & Associates Properties EBITDA Margin 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=ebitda-margin&ticker=CBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "CBL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();