Getty Realty Corp /Md/ (GTY) Interest Expense (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.27 Mn |
| Mar 31, 2026 | 12.01 Mn |
| Dec 31, 2025 | 12.29 Mn |
| Sep 30, 2025 | 11.45 Mn |
| Jun 30, 2025 | 10.90 Mn |
| Mar 31, 2025 | 11.73 Mn |
| Dec 31, 2024 | 10.42 Mn |
| Sep 30, 2024 | 10.05 Mn |
| Jun 30, 2024 | 9.66 Mn |
| Mar 31, 2024 | 9.14 Mn |
| Dec 31, 2023 | 8.83 Mn |
| Sep 30, 2023 | 8.08 Mn |
| Jun 30, 2023 | 7.10 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 7.31 Mn |
| Sep 30, 2022 | 6.91 Mn |
| Jun 30, 2022 | 6.91 Mn |
| Mar 31, 2022 | 6.54 Mn |
| Dec 31, 2021 | 6.21 Mn |
| Sep 30, 2021 | 6.18 Mn |
API Access
Getty Realty Corp /Md/ Interest Expense 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=interest-expense&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();