Getty Realty Corp /Md/ (GTY) Other Revenue (2012 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Other Revenue (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451,000.00 |
| Mar 31, 2026 | 444,000.00 |
| Dec 31, 2025 | 549,000.00 |
| Sep 30, 2025 | 391,000.00 |
| Jun 30, 2025 | 533,000.00 |
| Mar 31, 2025 | 624,000.00 |
| Dec 31, 2024 | 746,000.00 |
| Sep 30, 2024 | 967,000.00 |
| Jun 30, 2024 | 1.22 Mn |
| Mar 31, 2024 | 1.76 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 998,000.00 |
| Mar 31, 2023 | 620,000.00 |
| Dec 31, 2022 | 553,000.00 |
| Sep 30, 2022 | 433,000.00 |
| Jun 30, 2022 | 365,000.00 |
| Mar 31, 2022 | 337,000.00 |
| Dec 31, 2021 | 349,000.00 |
| Sep 30, 2021 | 429,000.00 |
API Access
Getty Realty Corp /Md/ Other 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=other-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-revenue&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();