Sl Green Realty (SLG) EBIT (2009 - 2013)
Sl Green Realty (SLG) posted EBIT of $124.87 million for Q2 2023, up 0.6% from the prior quarter.
Sl Green Realty (SLG) EBIT (2009 - 2013) Analysis & Trends
For the trailing twelve months through Jun 30, 2013, EBIT at Sl Green Realty was $444.44 million; for FY2012, it came in at $413.09 million, up 1.1% from FY2011.
- Annual EBIT has increased for three consecutive years, with a three-year compound annual growth rate of 40.6% (FY2009 to FY2012).
- In prior years, Sl Green Realty's EBIT was $408.5 million in FY2011 (+19.1%), $342.89 million in FY2010 (+130.6%) and $148.66 million in FY2009.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | -1.83 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | 1.25 Bn |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 890.67 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 708.40 Mn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 466.68 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 214.27 Mn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 392.18 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 735.50 Mn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | 202.93 Mn |
| 10 | Sl Green Realty | 3.50 Bn | 3.79 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 124.87 Mn |
| Mar 31, 2013 | 124.09 Mn |
| Dec 31, 2012 | 90.33 Mn |
| Sep 30, 2012 | 105.15 Mn |
| Jun 30, 2012 | 113.50 Mn |
| Mar 31, 2012 | 103.13 Mn |
| Dec 31, 2011 | 93.99 Mn |
| Sep 30, 2011 | 88.74 Mn |
| Jun 30, 2011 | 91.35 Mn |
| Mar 31, 2011 | 134.42 Mn |
| Dec 31, 2010 | 70.21 Mn |
| Sep 30, 2010 | 136.24 Mn |
| Jun 30, 2010 | 70.04 Mn |
| Mar 31, 2010 | 66.03 Mn |
| Dec 31, 2009 | 34.89 Mn |
| Sep 30, 2009 | 54.92 Mn |
| Jun 30, 2009 | 35.44 Mn |
Sl Green Realty EBIT 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=ebit&ticker=SLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "SLG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=SLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();