Vornado Realty Trust (VNO) Operating Margin (2009 - 2018)
Vornado Realty Trust's Operating Margin came in at 24.78% for Q4 2018, down 5.01 percentage points from 29.79% a year earlier and down 4.17 percentage points from the prior quarter.
Vornado Realty Trust (VNO) Operating Margin (2009 - 2018) Analysis & Trends
For FY2018, Vornado Realty Trust's Operating Margin was 26.94%, down 2.26 percentage points from FY2017.
- Operating Margin carries a five-year change of -2.40 percentage points (FY2013 to FY2018).
- Going back by year, Operating Margin was 29.20% in FY2017 (+0.27 pp), 28.94% in FY2016 (-2.26 pp), 31.20% in FY2015 (+1.36 pp) and 29.83% in FY2014 (+0.49 pp).
- The Q4 2018 figure represents the lowest quarterly Operating Margin since Q1 2016.
- Year-over-year, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of +1.37 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2014 (a gain of 32.25 percentage points), and the weakest in Q1 2016 (a drop of 27.70 percentage points).
- Business Quant data shows VNO's Operating Margin at 28.96% (Q3 2018), 28.88% (Q2 2018) and 24.94% (Q1 2018) in the three quarters before Q4 2018.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 24.78% |
| Sep 30, 2018 | 28.96% |
| Jun 30, 2018 | 28.88% |
| Mar 31, 2018 | 24.94% |
| Dec 31, 2017 | 29.79% |
| Sep 30, 2017 | 30.68% |
| Jun 30, 2017 | 30.09% |
| Mar 31, 2017 | 25.94% |
| Dec 31, 2016 | 29.63% |
| Sep 30, 2016 | 29.53% |
| Jun 30, 2016 | 37.51% |
| Mar 31, 2016 | -0.06% |
| Dec 31, 2015 | 10.26% |
| Sep 30, 2015 | 30.50% |
| Jun 30, 2015 | 31.38% |
| Mar 31, 2015 | 27.64% |
| Dec 31, 2014 | 29.02% |
| Sep 30, 2014 | 31.47% |
| Jun 30, 2014 | 32.95% |
| Mar 31, 2014 | 25.83% |
Vornado Realty Trust Operating Margin 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-margin&ticker=VNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=VNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();