Vornado Realty Trust (VNO) EPS (Diluted) (2009 - 2016)
Vornado Realty Trust (VNO) reported EPS (Diluted) of $0.35 for Q3 2016, down 66.8% from $1.05 a year earlier and down 70.0% from the prior quarter.
Vornado Realty Trust (VNO) EPS (Diluted) (2009 - 2016) Analysis & Trends
Over the twelve months ended Sep 30, 2016, Vornado Realty Trust's EPS (Diluted) came in at $2.12, down 58.2% year-over-year; for FY2015, it came in at $3.59, down 13.6% from FY2014.
- EPS (Diluted) has a five-year compound annual growth rate of 2.1% (FY2010 to FY2015).
- By year, EPS (Diluted) came in at $4.15 in FY2014 (+98.8%), $2.09 in FY2013 (-29.1%), $2.94 in FY2012 (-9.0%) and $3.23 in FY2011 (-0.2%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.61 in Q1 2016 and a high of $2.72 in Q4 2014.
- Year over year, EPS (Diluted) gained in four of the last six quarters, with growth averaging 18.6%.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2013 (growth of 606.3%); the low point was Q2 2012 (a decline of 77.7%).
- Per Business Quant data, the three quarters before Q3 2016 came in at $1.16 (Q2 2016), -$0.61 (Q1 2016) and $1.22 (Q4 2015).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 0.35 |
| Jun 30, 2016 | 1.16 |
| Mar 31, 2016 | -0.61 |
| Dec 31, 2015 | 1.22 |
| Sep 30, 2015 | 1.05 |
| Jun 30, 2015 | 0.87 |
| Mar 31, 2015 | 0.45 |
| Dec 31, 2014 | 2.72 |
| Sep 30, 2014 | 0.69 |
| Jun 30, 2014 | 0.41 |
| Mar 31, 2014 | 0.33 |
| Dec 31, 2013 | -0.37 |
| Sep 30, 2013 | 0.44 |
| Jun 30, 2013 | 0.78 |
| Mar 31, 2013 | 1.24 |
| Dec 31, 2012 | 0.34 |
| Sep 30, 2012 | 1.25 |
| Jun 30, 2012 | 0.11 |
| Mar 31, 2012 | 1.22 |
| Dec 31, 2011 | 0.37 |
Vornado Realty Trust EPS (Diluted) 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=eps-diluted&ticker=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();