Camden Property Trust (CPT) EBITDA Margin (2009 - 2019)
Camden Property Trust's EBITDA Margin came in at -170.14% for FY2025, up 418.61 percentage points from -588.75% in FY2024.
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Analysis
Camden Property Trust (CPT) EBITDA Margin (2009 - 2019) Analysis & Trends
Going back to FY2009, Camden Property Trust's EBITDA Margin data covers 12 years.
- EBITDA Margin carries a five-year change of +482.53 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual EBITDA Margin since FY2022.
- Per Business Quant, earlier years put EBITDA Margin at -588.75% in FY2024 (+372.19 pp), -960.94% in FY2023 (-1418.03 pp), 457.09% in FY2022 (+885.97 pp) and -428.87% in FY2021 (+223.79 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 80.02% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 75.19% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 87.42% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 61.19% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.58% |
| 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 | -5,827.46% |
| Dec 31, 2018 | 88.74% |
| Sep 30, 2018 | -5,736.51% |
| Mar 31, 2018 | 85.45% |
| Dec 31, 2017 | 98.76% |
| Sep 30, 2017 | 82.16% |
| Mar 31, 2011 | 57.99% |
| Dec 31, 2010 | 54.23% |
| Sep 30, 2010 | 52.24% |
| Jun 30, 2010 | 52.68% |
| Mar 31, 2010 | 53.26% |
| Dec 31, 2009 | -5.53% |
| Sep 30, 2009 | 51.38% |
| Jun 30, 2009 | 51.58% |
API Access
Camden Property Trust EBITDA 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=ebitda-margin&ticker=CPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();