Getty Realty Corp /Md/ (GTY) Weighted Average Shares Outstanding (2010 - 2026)
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Analysis
Getty Realty Corp /Md/ (GTY) Weighted Average Shares Outstanding (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.58 Mn |
| Mar 31, 2026 | 59.87 Mn |
| Dec 31, 2025 | 56.32 Mn |
| Sep 30, 2025 | 56.69 Mn |
| Jun 30, 2025 | 55.53 Mn |
| Mar 31, 2025 | 55.06 Mn |
| Dec 31, 2024 | 54.31 Mn |
| Sep 30, 2024 | 54.25 Mn |
| Jun 30, 2024 | 53.98 Mn |
| Mar 31, 2024 | 53.96 Mn |
| Dec 31, 2023 | 50.02 Mn |
| Sep 30, 2023 | 50.62 Mn |
| Jun 30, 2023 | 49.62 Mn |
| Mar 31, 2023 | 46.99 Mn |
| Dec 31, 2022 | 46.73 Mn |
| Sep 30, 2022 | 46.73 Mn |
| Jun 30, 2022 | 46.73 Mn |
| Mar 31, 2022 | 46.72 Mn |
| Dec 31, 2021 | 44.78 Mn |
| Sep 30, 2021 | 44.96 Mn |
API Access
Getty Realty Corp /Md/ Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=GTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();