Empire State Realty OP (ESBA) Restructuring Costs (2013 - 2021)
Empire State Realty OP's Restructuring Costs came in at $7.7 million for Q4 2021, down 99.9% from the prior quarter.
Analysis
Empire State Realty OP (ESBA) Restructuring Costs (2013 - 2021) Analysis & Trends
For FY2021, Empire State Realty OP's Restructuring Costs was $7.72 million, up 24.5% from FY2020.
- Restructuring Costs carries a five-year compound annual growth rate of 139.5% (FY2016 to FY2021).
- Going back by year, Restructuring Costs was $6.2 million in FY2020.
- The Q4 2021 figure represents the lowest quarterly Restructuring Costs since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Empire State Realty OP | 1.41 Bn | 1.75 Bn | 110.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 7.70 Mn |
| Sep 30, 2021 | 6.20 Bn |
| Jun 30, 2021 | 4.10 Bn |
| Sep 30, 2020 | 2.10 Mn |
| Jun 30, 2020 | 4.10 Mn |
| Mar 31, 2016 | 98,000.00 |
| Sep 30, 2015 | 193,000.00 |
| Sep 30, 2014 | 2.65 Mn |
| Jun 30, 2014 | 735,000.00 |
| Dec 31, 2013 | 138.14 Mn |
API Access
Empire State Realty OP Restructuring Costs 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=restructuring-costs&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();