Vornado Realty Trust (VNO) Operating Expenses (2009 - 2016)
Vornado Realty Trust (VNO) recorded Operating Expenses of $444.04 million in Q3 2016, up 1.8% from $436.16 million a year earlier and up 2.1% from the prior quarter.
Vornado Realty Trust (VNO) Operating Expenses (2009 - 2016) Analysis & Trends
On a TTM basis, Vornado Realty Trust's Operating Expenses came in at $1.94 billion as of Sep 30, 2016, up 12.4% year-over-year; for FY2015, it was $1.74 billion, up 7.4% from FY2014.
- Annual Operating Expenses has a five-year compound annual growth rate of -0.6% (FY2010 to FY2015).
- Across earlier years, Operating Expenses came in at $1.62 billion in FY2014 (-0.1%), $1.62 billion in FY2013 (-15.4%), $1.92 billion in FY2012 (+1.6%) and $1.89 billion in FY2011 (+5.1%).
- Quarterly Operating Expenses has ranged from $261.65 million in Q4 2013 to $613.32 million in Q1 2016 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for eight consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 62.0% in Q4 2014, against a decline of 43.0% in Q4 2013 at the low end.
- Per Business Quant, the preceding three quarters came in at $434.89 million (Q2 2016), $613.32 million (Q1 2016) and $443.88 million (Q4 2015).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 444.04 Mn |
| Jun 30, 2016 | 434.89 Mn |
| Mar 31, 2016 | 613.32 Mn |
| Dec 31, 2015 | 443.88 Mn |
| Sep 30, 2015 | 436.16 Mn |
| Jun 30, 2015 | 422.90 Mn |
| Mar 31, 2015 | 439.09 Mn |
| Dec 31, 2014 | 423.77 Mn |
| Sep 30, 2014 | 396.57 Mn |
| Jun 30, 2014 | 385.14 Mn |
| Mar 31, 2014 | 417.14 Mn |
| Dec 31, 2013 | 261.65 Mn |
| Sep 30, 2013 | 434.14 Mn |
| Jun 30, 2013 | 461.15 Mn |
| Mar 31, 2013 | 468.42 Mn |
| Dec 31, 2012 | 458.92 Mn |
| Sep 30, 2012 | 503.71 Mn |
| Jun 30, 2012 | 475.18 Mn |
| Mar 31, 2012 | 487.02 Mn |
| Dec 31, 2011 | 465.42 Mn |
Vornado Realty Trust Operating 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=operating-expenses&ticker=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();