Sl Green Realty (SLG) Land & Improvements (2009 - 2026)
Sl Green Realty (SLG) reported Land & Improvements of $1.58 billion for Q2 2026, down 14.5% from the prior quarter.
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Analysis
Sl Green Realty (SLG) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Sl Green Realty posted Land & Improvements of $1.7 billion.
- The Q2 2026 figure ranks as the lowest quarterly Land & Improvements since Q3 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 7.24 Bn |
| 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 | - | 18.91 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 6.00 Bn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 3.26 Bn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 5.15 Bn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 5.52 Bn |
| 10 | Sl Green Realty | 3.47 Bn | 3.76 Bn | - | 1.58 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.70 Bn |
| Jun 30, 2013 | 2.87 Bn |
| Mar 31, 2013 | 2.89 Bn |
| Dec 31, 2012 | 2.89 Bn |
| Sep 30, 2012 | 2.94 Bn |
| Jun 30, 2012 | 2.87 Bn |
| Mar 31, 2012 | 2.82 Bn |
| Dec 31, 2011 | 2.68 Bn |
| Sep 30, 2011 | 2.58 Bn |
| Jun 30, 2011 | 2.47 Bn |
| Mar 31, 2011 | 1.97 Bn |
| Dec 31, 2010 | 1.75 Bn |
| Sep 30, 2010 | 1.46 Bn |
| Jun 30, 2010 | 1.39 Bn |
| Dec 31, 2009 | 1.38 Bn |
API Access
Sl Green Realty Land & Improvements 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=land-and-improvements&ticker=SLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=SLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();