Getty Realty Corp /Md/ (GTY) Net Debt Issuances and Repayments (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Net Debt Issuances and Repayments (2010 - 2026) Analysis & Trends
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 126.97 Mn |
| Jun 30, 2026 | 72.97 Mn |
| Mar 31, 2026 | -33,000.00 |
| Dec 31, 2025 | 59.97 Mn |
| Sep 30, 2025 | 14.97 Mn |
| Jun 30, 2025 | 17.47 Mn |
| Mar 31, 2025 | -62,000.00 |
| Dec 31, 2024 | 69.93 Mn |
| Sep 30, 2024 | -5.07 Mn |
| Jun 30, 2024 | -32.56 Mn |
| Mar 31, 2024 | 39.94 Mn |
| Dec 31, 2023 | 9.95 Mn |
| Sep 30, 2023 | 74.92 Mn |
| Jun 30, 2023 | -85,000.00 |
| Mar 31, 2023 | -20.12 Mn |
| Dec 31, 2022 | 69.87 Mn |
| Sep 30, 2022 | -125,000.00 |
| Jun 30, 2022 | -118,000.00 |
| Mar 31, 2022 | 39.89 Mn |
| Dec 31, 2021 | 17.36 Mn |
API Access
Getty Realty Corp /Md/ Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();