Camden Property Trust (CPT) Change in Accured Expenses (2010 - 2011)
Camden Property Trust (CPT) recorded Change in Accured Expenses of -$13.02 million in Q4 2011, compared with -$14.73 million a year earlier.
Camden Property Trust (CPT) Change in Accured Expenses (2010 - 2011) Analysis & Trends
For FY2011, Camden Property Trust reported Change in Accured Expenses of $2.03 million, down 8.3% from FY2010.
- Across earlier years, Change in Accured Expenses came in at $2.21 million in FY2010 and -$10.51 million in FY2009.
- Quarterly Change in Accured Expenses has ranged from -$14.73 million in Q4 2010 to $7.67 million in Q3 2010 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Camden Property Trust | 9.65 Bn | 9.73 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -13.02 Mn |
| Sep 30, 2011 | 5.52 Mn |
| Dec 31, 2010 | -14.73 Mn |
| Sep 30, 2010 | 7.67 Mn |
Camden Property Trust Change in Accured Expenses 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=change-in-accured-expenses&ticker=CPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();