Vornado Realty Trust (VNO) EBITDA (2009 - 2016)
Vornado Realty Trust's EBITDA came in at $335.65 million for Q3 2016, down 1.0% from $338.99 million a year earlier and unchanged from the prior quarter.
Vornado Realty Trust (VNO) EBITDA (2009 - 2016) Analysis & Trends
Over the trailing twelve months to Sep 30, 2016, Vornado Realty Trust reported EBITDA of $1.18 billion, down 10.0% year-over-year; for FY2015, it was $1.33 billion, up 4.2% from FY2014.
- EBITDA carries a five-year compound annual growth rate of 0.2% (FY2010 to FY2015).
- Going back by year, EBITDA was $1.27 billion in FY2014 (+3.0%), $1.24 billion in FY2013 (-3.8%), $1.29 billion in FY2012 (-7.7%) and $1.39 billion in FY2011 (+5.9%).
- The five-year range for quarterly EBITDA is $121.75 million (Q4 2013) to $399.21 million (Q1 2013).
- Year-over-year, EBITDA increased in five of the last eight quarters, with growth averaging 17.4%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2014 (growth of 173.3%), and the weakest in Q4 2013 (a decline of 56.9%).
- Business Quant data shows VNO's EBITDA at $335.71 million (Q2 2016), $150.37 million (Q1 2016) and $353.42 million (Q4 2015) in the three quarters before Q3 2016.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 335.65 Mn |
| Jun 30, 2016 | 335.71 Mn |
| Mar 31, 2016 | 150.37 Mn |
| Dec 31, 2015 | 353.42 Mn |
| Sep 30, 2015 | 338.99 Mn |
| Jun 30, 2015 | 335.22 Mn |
| Mar 31, 2015 | 298.83 Mn |
| Dec 31, 2014 | 332.69 Mn |
| Sep 30, 2014 | 317.91 Mn |
| Jun 30, 2014 | 323.59 Mn |
| Mar 31, 2014 | 299.11 Mn |
| Dec 31, 2013 | 121.75 Mn |
| Sep 30, 2013 | 364.46 Mn |
| Jun 30, 2013 | 350.79 Mn |
| Mar 31, 2013 | 399.21 Mn |
| Dec 31, 2012 | 282.38 Mn |
| Sep 30, 2012 | 332.73 Mn |
| Jun 30, 2012 | 343.11 Mn |
| Mar 31, 2012 | 327.52 Mn |
| Dec 31, 2011 | 352.56 Mn |
Vornado Realty Trust 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=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "VNO", "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=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();