Camden Property Trust (CPT) Return on Sales [ROS] (2009 - 2019)
Camden Property Trust's Return on Sales [ROS] came in at -4882.29% for FY2025, up 3861.34 percentage points from -8743.63% in FY2024.
Analysis
Camden Property Trust (CPT) Return on Sales [ROS] (2009 - 2019) Analysis & Trends
Going back to FY2009, Camden Property Trust's Return on Sales [ROS] data covers 12 years.
- Return on Sales [ROS] carries a five-year change of -829.98 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Return on Sales [ROS] since FY2021.
- Per Business Quant, earlier years put Return on Sales [ROS] at -8743.63% in FY2024 (+8873.73 pp), -17617.36% in FY2023 (-6952.25 pp), -10665.11% in FY2022 (-6241.82 pp) and -4423.29% in FY2021 (-370.98 pp).
Peer Set
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 | Camden Property Trust | 9.65 Bn | 9.73 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -10,183.07% |
| Dec 31, 2018 | 56.62% |
| Sep 30, 2018 | -9,922.39% |
| Mar 31, 2018 | 55.01% |
| Dec 31, 2017 | 69.09% |
| Sep 30, 2017 | 52.79% |
| Mar 31, 2011 | 27.02% |
| Dec 31, 2010 | 24.82% |
| Sep 30, 2010 | 23.68% |
| Jun 30, 2010 | 24.18% |
| Mar 31, 2010 | 23.71% |
| Dec 31, 2009 | -37.81% |
| Sep 30, 2009 | 23.94% |
| Jun 30, 2009 | 23.62% |
API Access
Camden Property Trust 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=CPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CPT", "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=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();