Extra Space Storage (EXR) Restructuring Costs (2009 - 2022)
Extra Space Storage (EXR) reported Restructuring Costs of $83,000 for Q4 2022.
Analysis
Extra Space Storage (EXR) Restructuring Costs (2009 - 2022) Analysis & Trends
For FY2022, Extra Space Storage posted Restructuring Costs of $1.55 million.
- The Q4 2022 figure ranks as the lowest quarterly Restructuring Costs in data going back to Q2 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Invitation Homes | 15.68 Bn | 15.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 83,000.00 |
| Jun 30, 2022 | 1.47 Mn |
| Dec 31, 2016 | 2.99 Mn |
| Sep 30, 2016 | 1.93 Mn |
| Jun 30, 2016 | 3.14 Mn |
| Mar 31, 2016 | 4.05 Mn |
| Dec 31, 2015 | 63.70 Mn |
| Sep 30, 2015 | 280,000.00 |
| Jun 30, 2015 | 4.55 Mn |
| Mar 31, 2015 | 869,000.00 |
| Dec 31, 2014 | 5.94 Mn |
| Sep 30, 2014 | 436,000.00 |
| Jun 30, 2014 | 1.39 Mn |
| Mar 31, 2014 | 2.06 Mn |
| Dec 31, 2013 | 5.06 Mn |
| Sep 30, 2013 | 2.43 Mn |
| Jun 30, 2013 | 683,000.00 |
| Mar 31, 2013 | 452,000.00 |
| Dec 31, 2012 | 1.79 Mn |
| Sep 30, 2012 | 2.49 Mn |
API Access
Extra Space Storage 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=EXR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "EXR", "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=EXR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();