Getty Realty Corp /Md/ (GTY) Notes, Term Loans and Credit Facilities (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Notes, Term Loans and Credit Facilities (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.20 Bn |
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 996.96 Mn |
| Dec 31, 2025 | 998.35 Mn |
| Sep 30, 2025 | 938.41 Mn |
| Jun 30, 2025 | 923.33 Mn |
| Mar 31, 2025 | 905.79 Mn |
| Dec 31, 2024 | 904.96 Mn |
| Sep 30, 2024 | 834.73 Mn |
| Jun 30, 2024 | 839.35 Mn |
| Mar 31, 2024 | 796.48 Mn |
| Dec 31, 2023 | 756.10 Mn |
| Sep 30, 2023 | 748.34 Mn |
| Jun 30, 2023 | 673.28 Mn |
| Mar 31, 2023 | 673.22 Mn |
| Dec 31, 2022 | 693.49 Mn |
| Sep 30, 2022 | 623.44 Mn |
| Jun 30, 2022 | 623.37 Mn |
| Mar 31, 2022 | 623.31 Mn |
| Dec 31, 2021 | 583.85 Mn |
API Access
Getty Realty Corp /Md/ Notes, Term Loans and Credit Facilities 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=notes-term-loans-and-credit-facilities&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-term-loans-and-credit-facilities", "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=notes-term-loans-and-credit-facilities&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();