Getty Realty Corp /Md/ (GTY) Rental Revenue (2012 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Rental Revenue (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.30 Mn |
| Jun 30, 2026 | 58.60 Mn |
| Mar 31, 2026 | 57.40 Mn |
| Dec 31, 2025 | 60.00 Mn |
| Sep 30, 2025 | 55.20 Mn |
| Jun 30, 2025 | 52.72 Mn |
| Mar 31, 2025 | 51.71 Mn |
| Dec 31, 2024 | 52.27 Mn |
| Sep 30, 2024 | 50.50 Mn |
| Jun 30, 2024 | 48.72 Mn |
| Mar 31, 2024 | 47.22 Mn |
| Dec 31, 2023 | 45.60 Mn |
| Sep 30, 2023 | 48.85 Mn |
| Jun 30, 2023 | 43.70 Mn |
| Mar 31, 2023 | 42.40 Mn |
| Dec 31, 2022 | 42.57 Mn |
| Sep 30, 2022 | 41.53 Mn |
| Jun 30, 2022 | 40.81 Mn |
| Mar 31, 2022 | 38.98 Mn |
| Dec 31, 2021 | 39.01 Mn |
API Access
Getty Realty Corp /Md/ Rental Revenue 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=rental-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rental-revenue", "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=rental-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();