Empire State Realty OP (ESBA) Gross Margin (2012 - 2016)
Empire State Realty OP's Gross Margin came in at 100.00% for FY2017, unchanged from 100.00% in FY2016.
Analysis
Empire State Realty OP (ESBA) Gross Margin (2012 - 2016) Analysis & Trends
Going back to FY2011, Empire State Realty OP's Gross Margin data covers 7 years.
- Gross Margin carries a five-year change of +7.53 percentage points (FY2012 to FY2017).
- Per Business Quant, earlier years put Gross Margin at 100.00% in FY2016 (+0.49 pp), 99.51% in FY2015 (+5.59 pp), 93.93% in FY2014 (-1.79 pp) and 95.71% in FY2013 (+3.24 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 39.34% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 73.49% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 99.30% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Empire State Realty OP | 1.08 Bn | 1.08 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 100.00% |
| Sep 30, 2016 | 100.00% |
| Jun 30, 2016 | 100.00% |
| Mar 31, 2016 | 100.00% |
| Dec 31, 2015 | 100.00% |
| Sep 30, 2015 | 100.00% |
| Jun 30, 2015 | 99.79% |
| Mar 31, 2015 | 98.11% |
| Sep 30, 2014 | 96.40% |
| Jun 30, 2014 | 91.75% |
| Mar 31, 2014 | 89.82% |
| Dec 31, 2013 | 95.71% |
| Sep 30, 2013 | 90.47% |
| Jun 30, 2013 | 89.04% |
| Mar 31, 2013 | 89.97% |
| Dec 31, 2012 | 91.61% |
| Sep 30, 2012 | 93.48% |
API Access
Empire State Realty OP Gross 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=gross-margin&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "ESBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();