Cbl & Associates Properties (CBL) Return on Sales [ROS] (2009 - 2018)
Cbl & Associates Properties' Return on Sales [ROS] was 30.08% in Q2 2019, down 5.84 percentage points from the prior quarter.
Cbl & Associates Properties (CBL) Return on Sales [ROS] (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Cbl & Associates Properties' Return on Sales [ROS] was 34.52% through Jun 30, 2013; for FY2012, it came in at 36.65%, up 2.53 percentage points from FY2011.
- Return on Sales [ROS] shows a three-year change of +10.27 percentage points (FY2009 to FY2012).
- In earlier years, Return on Sales [ROS] 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Cbl & Associates Properties | 1.69 Bn | 1.69 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 20.95% |
| Jun 30, 2018 | 6.18% |
| Mar 31, 2018 | 20.04% |
| Dec 31, 2017 | 35.26% |
| Sep 30, 2017 | 22.33% |
| Jun 30, 2017 | 9.73% |
| Mar 31, 2017 | 32.39% |
| Dec 31, 2016 | 39.08% |
| Sep 30, 2016 | 14.59% |
| Jun 30, 2016 | 20.42% |
| Mar 31, 2016 | 24.26% |
| Dec 31, 2015 | 3.13% |
| Sep 30, 2015 | 35.79% |
| Jun 30, 2015 | 35.40% |
| Mar 31, 2015 | 32.59% |
| Dec 31, 2014 | 36.76% |
| Sep 30, 2014 | 37.64% |
| Jun 30, 2014 | 37.85% |
| Mar 31, 2014 | 29.16% |
| Dec 31, 2013 | 22.12% |
Cbl & Associates Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();