Alexandria Real Estate Equities (ARE) EBITDA (2009 - 2014)
Alexandria Real Estate Equities (ARE) posted EBITDA of $115.06 million for Q3 2014, up 17.7% from $97.77 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Alexandria Real Estate Equities (ARE) EBITDA (2009 - 2014) Analysis & Trends
For the trailing twelve months through Sep 30, 2014, EBITDA at Alexandria Real Estate Equities was $441.92 million, up 16.8% year-over-year; for FY2013, it was $393.26 million, up 10.5% from FY2012.
- Annual EBITDA has increased for three consecutive years, with a three-year compound annual growth rate of 14.3% (FY2010 to FY2013).
- In prior years, Alexandria Real Estate Equities' EBITDA was $356.04 million in FY2012 (+5.1%), $338.67 million in FY2011 (+28.7%) and $263.23 million in FY2010.
- The Q3 2014 figure stands as the highest quarterly EBITDA in data going back to Q2 2009.
- On a year-over-year basis, EBITDA has increased in each of the last eight quarters, with growth averaging 14.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2011, with growth of 149.8%; the weakest was Q2 2010, with a decline of 60.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $110.21 million (Q2 2014), $110.46 million (Q1 2014) and $106.2 million (Q4 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.94 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 1.29 Bn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 1.35 Bn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 754.44 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 449.31 Mn |
| 10 | Alexandria Real Estate Equities | 8.25 Bn | 4.51 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 115.06 Mn |
| Jun 30, 2014 | 110.21 Mn |
| Mar 31, 2014 | 110.46 Mn |
| Dec 31, 2013 | 106.20 Mn |
| Sep 30, 2013 | 97.77 Mn |
| Jun 30, 2013 | 94.87 Mn |
| Mar 31, 2013 | 94.44 Mn |
| Dec 31, 2012 | 91.17 Mn |
| Sep 30, 2012 | 86.18 Mn |
| Jun 30, 2012 | 89.59 Mn |
| Mar 31, 2012 | 85.90 Mn |
| Dec 31, 2011 | 74.50 Mn |
| Sep 30, 2011 | 88.15 Mn |
| Jun 30, 2011 | 92.15 Mn |
| Mar 31, 2011 | 89.49 Mn |
| Dec 31, 2010 | 72.50 Mn |
| Sep 30, 2010 | 78.55 Mn |
| Jun 30, 2010 | 36.90 Mn |
| Sep 30, 2009 | 75.22 Mn |
| Jun 30, 2009 | 94.27 Mn |
API Access
Alexandria Real Estate Equities EBITDA 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&ticker=ARE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ARE", "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&ticker=ARE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();