Getty Realty (GTY) Weighted Average Shares Outstanding (2009 - 2026)
Getty Realty (GTY) reported Weighted Average Shares Outstanding of 62.41 million for Q3 2026, up 10.1% from 56.69 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Getty Realty (GTY) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Getty Realty posted Weighted Average Shares Outstanding of 56.32 million, up 3.7% from FY2024.
- Weighted Average Shares Outstanding has increased for ten consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 54.31 million in FY2024 (+8.6%), 50.02 million in FY2023 (+7.0%), 46.73 million in FY2022 (+4.3%) and 44.78 million in FY2021 (+6.5%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2010.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 43 quarters, with growth averaging 6.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 0.6% (Q1 2023) to 14.8% (Q1 2024).
- Per Business Quant data, the three quarters before Q3 2026 came in at 60.58 million (Q2 2026), 59.87 million (Q1 2026) and 56.32 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.41 Mn |
| 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 |
API Access
Getty Realty 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();