Getty Realty (GTY) Interest Expense (in Operating Expenses) (2011 - 2025)
Getty Realty (GTY) recorded Interest Expense (in Operating Expenses) of $5.09 million in Q4 2017, up 26.2% from $4.04 million a year earlier.
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Analysis
Getty Realty (GTY) Interest Expense (in Operating Expenses) (2011 - 2025) Analysis & Trends
On a TTM basis, Getty Realty's Interest Expense (in Operating Expenses) came in at $17.5 million as of Dec 31, 2017, up 3.6% year-over-year.
- The Q4 2017 figure is the highest quarterly Interest Expense (in Operating Expenses) in data going back to Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense (Op.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 192.66 Mn |
| 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 | 102.53 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 333.56 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 161.39 Mn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 123.79 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | -151.17 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.29 Mn |
| Dec 31, 2024 | 10.42 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Dec 31, 2017 | 5.09 Mn |
| Dec 31, 2016 | 4.04 Mn |
| Sep 30, 2016 | 4.16 Mn |
| Mar 31, 2016 | 4.22 Mn |
| Sep 30, 2015 | 4.48 Mn |
| Mar 31, 2015 | 2.38 Mn |
| Dec 31, 2013 | 2.70 Mn |
| Mar 31, 2012 | 1.48 Mn |
| Sep 30, 2011 | 1.41 Mn |
| Jun 30, 2011 | 1.35 Mn |
| Mar 31, 2011 | 1.32 Mn |
API Access
Getty Realty Interest Expense (in Operating 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-expense-in-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-in-operating-expenses", "ticker": "GTY", "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-expense-in-operating-expenses&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();