Cbl & Associates Properties (CBL) Operating Margin (2009 - 2013)
Cbl & Associates Properties' Operating Margin was 30.08% in Q2 2019, down 5.84 percentage points from the prior quarter.
Cbl & Associates Properties (CBL) Operating Margin (2009 - 2013) Analysis & Trends
On a trailing twelve-month basis, Cbl & Associates Properties' Operating Margin was 34.52% through Jun 30, 2013; for FY2012, it came in at 36.65%, up 2.53 percentage points from FY2011.
- Operating Margin shows a three-year change of +10.27 percentage points (FY2009 to FY2012).
- In earlier years, Operating Margin was 34.12% in FY2011 (-4.28 pp), 38.40% in FY2010 (+12.02 pp) and 26.38% in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 51.59% |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 49.72% |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 37.85% |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 69.48% |
| 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 | 30.08% |
| Mar 31, 2013 | 35.92% |
| Dec 31, 2012 | 34.50% |
| Sep 30, 2012 | 37.64% |
| Jun 30, 2012 | 37.48% |
| Mar 31, 2012 | 37.21% |
| Dec 31, 2011 | 42.79% |
| Sep 30, 2011 | 19.35% |
| Jun 30, 2011 | 37.19% |
| Mar 31, 2011 | 37.26% |
| Dec 31, 2010 | 41.13% |
| Sep 30, 2010 | 37.19% |
| Jun 30, 2010 | 37.97% |
| Mar 31, 2010 | 36.51% |
| Dec 31, 2009 | -0.50% |
| Sep 30, 2009 | 36.45% |
| Jun 30, 2009 | 36.28% |
Cbl & Associates Properties Operating 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=operating-margin&ticker=CBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();