Sl Green Realty (SLG) Interest Expenses (2009 - 2013)
Sl Green Realty's Interest Expenses was $215.62 million in FY2025, up 9.8% from $196.33 million in FY2024.
Powered by 
Analysis
Sl Green Realty (SLG) Interest Expenses (2009 - 2013) Analysis & Trends
From FY2009 onward, Sl Green Realty has reported Interest Expenses for 7 years.
- Per Business Quant data, Interest Expenses in earlier years was $196.33 million in FY2024 (-14.2%) and $228.84 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Sl Green Realty | 3.47 Bn | 3.76 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2013 | 83.28 Mn |
| Mar 31, 2013 | 81.34 Mn |
| Dec 31, 2012 | 82.28 Mn |
| Sep 30, 2012 | 85.83 Mn |
| Jun 30, 2012 | 82.16 Mn |
| Mar 31, 2012 | 80.14 Mn |
| Dec 31, 2011 | 78.88 Mn |
| Sep 30, 2011 | 74.60 Mn |
| Jun 30, 2011 | 68.17 Mn |
| Mar 31, 2011 | 64.27 Mn |
| Dec 31, 2010 | 59.13 Mn |
| Sep 30, 2010 | 56.92 Mn |
| Jun 30, 2010 | 57.45 Mn |
| Mar 31, 2010 | 56.79 Mn |
| Dec 31, 2009 | 50.55 Mn |
| Sep 30, 2009 | 65.37 Mn |
| Jun 30, 2009 | 56.74 Mn |
API Access
Sl Green Realty Interest Expenses 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=interest-expenses&ticker=SLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();