Cedar Realty Trust (CDR-PB) Amortizatization of Intangibles (2010 - 2012)
Cedar Realty Trust (CDR-PB) reported Amortizatization of Intangibles of -$1.26 million for Q1 2012, compared with -$1.48 million a year earlier.
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Analysis
Cedar Realty Trust (CDR-PB) Amortizatization of Intangibles (2010 - 2012) Analysis & Trends
Over the twelve months ended Mar 31, 2012, Cedar Realty Trust's Amortizatization of Intangibles came in at -$6.31 million; for FY2011, it was -$6.52 million.
- By year, Amortizatization of Intangibles came in at -$9.15 million in FY2010 and -$13.52 million in FY2009.
- Five-year quarterly Amortizatization of Intangibles spans a low of -$12.91 million in Q3 2010 and a high of $4.47 million in Q2 2011.
- Per Business Quant data, the three quarters before Q1 2012 came in at -$1.47 million (Q4 2011), -$8.05 million (Q3 2011) and $4.47 million (Q2 2011).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 11.09 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Cedar Realty Trust | 226.21 Mn | 206.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2012 | -1.26 Mn |
| Dec 31, 2011 | -1.47 Mn |
| Sep 30, 2011 | -8.05 Mn |
| Jun 30, 2011 | 4.47 Mn |
| Mar 31, 2011 | -1.48 Mn |
| Dec 31, 2010 | -1.68 Mn |
| Sep 30, 2010 | -12.91 Mn |
API Access
Cedar Realty Trust Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CDR-PB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "CDR-PB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();