Camden Property Trust (CPT) Operating Margin (2017 - 2019)
Camden Property Trust (CPT) posted Operating Margin of -4882.29% for FY2025, up 3861.34 percentage points from -8743.63% in FY2024.
Analysis
Camden Property Trust (CPT) Operating Margin (2017 - 2019) Analysis & Trends
Since FY2016, Camden Property Trust has reported Operating Margin for 10 years.
- Annual Operating Margin shows a five-year change of -829.98 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Operating Margin since FY2021.
- Business Quant data shows CPT's Operating Margin 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 51.59% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 49.72% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 37.85% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Camden Property Trust | 9.73 Bn | 9.81 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% |
API Access
Camden Property Trust 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=CPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();