Getty Realty Corp /Md/ (GTY) Real Estate, at Cost (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Real Estate, at Cost (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.84 Bn |
| Jun 30, 2026 | 2.57 Bn |
| Mar 31, 2026 | 2.46 Bn |
| Dec 31, 2025 | 2.44 Bn |
| Sep 30, 2025 | 2.31 Bn |
| Jun 30, 2025 | 2.27 Bn |
| Mar 31, 2025 | 2.19 Bn |
| Dec 31, 2024 | 2.19 Bn |
| Sep 30, 2024 | 1.94 Bn |
| Jun 30, 2024 | 1.90 Bn |
| Mar 31, 2024 | 1.85 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Sep 30, 2023 | 1.74 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.62 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 1.53 Bn |
| Jun 30, 2022 | 1.52 Bn |
| Mar 31, 2022 | 1.48 Bn |
| Dec 31, 2021 | 1.41 Bn |
API Access
Getty Realty Corp /Md/ Real Estate, at Cost 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=real-estate-at-cost&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-at-cost", "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=real-estate-at-cost&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();