Getty Realty Corp /Md/ (GTY) Interest Expense (in Operating Expenses) (2011 - 2017)
Analysis
Getty Realty Corp /Md/ (GTY) Interest Expense (in Operating Expenses) (2011 - 2017) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 Corp /Md/ 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_KEY
import 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();