Getty Realty Corp /Md/ (GTY) Land (2011 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Land (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Bn |
| Mar 31, 2026 | 1.06 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 991.51 Mn |
| Jun 30, 2025 | 978.17 Mn |
| Mar 31, 2025 | 947.41 Mn |
| Dec 31, 2024 | 943.80 Mn |
| Sep 30, 2024 | 912.92 Mn |
| Jun 30, 2024 | 903.21 Mn |
| Mar 31, 2024 | 886.99 Mn |
| Dec 31, 2023 | 867.88 Mn |
| Sep 30, 2023 | 858.12 Mn |
| Jun 30, 2023 | 821.75 Mn |
| Mar 31, 2023 | 812.20 Mn |
| Dec 31, 2022 | 802.01 Mn |
| Sep 30, 2022 | 785.88 Mn |
| Jun 30, 2022 | 783.57 Mn |
| Mar 31, 2022 | 775.66 Mn |
| Dec 31, 2021 | 772.09 Mn |
| Sep 30, 2021 | 745.93 Mn |
API Access
Getty Realty Corp /Md/ Land 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&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land", "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=land&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();