Getty Realty Corp /Md/ (GTY) Dividends Payable (2010 - 2026)
Analysis
Getty Realty Corp /Md/ (GTY) Dividends Payable (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.93 Mn |
| Mar 31, 2026 | 30.23 Mn |
| Dec 31, 2025 | 29.83 Mn |
| Sep 30, 2025 | 27.93 Mn |
| Jun 30, 2025 | 27.39 Mn |
| Mar 31, 2025 | 26.85 Mn |
| Dec 31, 2024 | 26.54 Mn |
| Sep 30, 2024 | 25.42 Mn |
| Jun 30, 2024 | 25.05 Mn |
| Mar 31, 2024 | 24.95 Mn |
| Dec 31, 2023 | 24.85 Mn |
| Sep 30, 2023 | 23.21 Mn |
| Jun 30, 2023 | 22.26 Mn |
| Mar 31, 2023 | 20.97 Mn |
| Dec 31, 2022 | 20.58 Mn |
| Sep 30, 2022 | 19.62 Mn |
| Jun 30, 2022 | 19.62 Mn |
| Mar 31, 2022 | 19.62 Mn |
| Dec 31, 2021 | 19.47 Mn |
| Sep 30, 2021 | 18.04 Mn |
API Access
Getty Realty Corp /Md/ Dividends Payable 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=dividends-payable&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payable", "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=dividends-payable&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();