Getty Realty Corp /Md/ (GTY) General and Administrative (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) General and Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.30 Mn |
| Mar 31, 2026 | 9.06 Mn |
| Dec 31, 2025 | 7.11 Mn |
| Sep 30, 2025 | 6.44 Mn |
| Jun 30, 2025 | 6.79 Mn |
| Mar 31, 2025 | 6.93 Mn |
| Dec 31, 2024 | 6.49 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 6.17 Mn |
| Mar 31, 2024 | 6.66 Mn |
| Dec 31, 2023 | 5.79 Mn |
| Sep 30, 2023 | 5.75 Mn |
| Jun 30, 2023 | 5.91 Mn |
| Mar 31, 2023 | 6.29 Mn |
| Dec 31, 2022 | 5.21 Mn |
| Sep 30, 2022 | 5.02 Mn |
| Jun 30, 2022 | 5.26 Mn |
| Mar 31, 2022 | 5.13 Mn |
| Dec 31, 2021 | 4.85 Mn |
| Sep 30, 2021 | 4.74 Mn |
API Access
Getty Realty Corp /Md/ General and Administrative 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=general-and-administrative&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();