Getty Realty Corp /Md/ (GTY) Buildings and Improvements (2010 - 2019)
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Analysis
Getty Realty Corp /Md/ (GTY) Buildings and Improvements (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 275,000.00 |
| Sep 30, 2018 | 209,000.00 |
| Mar 31, 2017 | 678,000.00 |
| Dec 31, 2016 | 528,000.00 |
| Sep 30, 2016 | 439,000.00 |
| Jun 30, 2016 | 531,000.00 |
| Mar 31, 2016 | 594,000.00 |
| Dec 31, 2015 | 997,000.00 |
| Dec 31, 2014 | 246.11 Mn |
| Sep 30, 2014 | 196.78 Mn |
| Jun 30, 2014 | 197.57 Mn |
| Mar 31, 2014 | 196.72 Mn |
| Dec 31, 2013 | 196.61 Mn |
| Sep 30, 2013 | 202.47 Mn |
| Jun 30, 2013 | 202.47 Mn |
| Mar 31, 2013 | 191.50 Mn |
| Dec 31, 2012 | 208.33 Mn |
| Sep 30, 2012 | 224.00 Mn |
| Jun 30, 2012 | 251.94 Mn |
| Mar 31, 2012 | 270.90 Mn |
API Access
Getty Realty Corp /Md/ Buildings and 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=buildings-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings-and-improvements", "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=buildings-and-improvements&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();