Cbl & Associates Properties (CBL) EBITDA (2009 - 2013)
Cbl & Associates Properties (CBL) posted EBITDA of $149.45 million for Q2 2019, down 10.6% from the prior quarter.
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Analysis
Cbl & Associates Properties (CBL) EBITDA (2009 - 2013) Analysis & Trends
For the trailing twelve months through Jun 30, 2013, EBITDA at Cbl & Associates Properties was $646.7 million; for FY2012, it came in at $647.8 million, up 2.0% from FY2011.
- Annual EBITDA shows a three-year compound annual growth rate of 2.8% (FY2009 to FY2012).
- In prior years, Cbl & Associates Properties' EBITDA was $635.09 million in FY2011 (-8.4%), $693.29 million in FY2010 (+16.4%) and $595.56 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.94 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 1.35 Bn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.35 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 754.44 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 449.31 Mn |
| 10 | Cbl & Associates Properties | 1.62 Bn | 1.61 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 149.45 Mn |
| Mar 31, 2013 | 167.19 Mn |
| Dec 31, 2012 | 165.97 Mn |
| Sep 30, 2012 | 164.09 Mn |
| Jun 30, 2012 | 162.53 Mn |
| Mar 31, 2012 | 154.98 Mn |
| Dec 31, 2011 | 178.13 Mn |
| Sep 30, 2011 | 122.68 Mn |
| Jun 30, 2011 | 168.20 Mn |
| Mar 31, 2011 | 166.08 Mn |
| Dec 31, 2010 | 193.49 Mn |
| Sep 30, 2010 | 168.11 Mn |
| Jun 30, 2010 | 169.05 Mn |
| Mar 31, 2010 | 168.06 Mn |
| Dec 31, 2009 | 77.57 Mn |
| Sep 30, 2009 | 144.67 Mn |
| Jun 30, 2009 | 172.50 Mn |
API Access
Cbl & Associates Properties EBITDA 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&ticker=CBL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();