Getty Realty (GTY) Net Equity Issued and Repurchased (2010 - 2026)
Getty Realty's Net Equity Issued and Repurchased came in at $128.2 million for Q3 2026, up 365.4% from $27.55 million a year earlier and up 252.5% from the prior quarter.
Getty Realty (GTY) Net Equity Issued and Repurchased (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Getty Realty reported Net Equity Issued and Repurchased of $216.63 million, up 169.5% year-over-year; for FY2024, it came in at $30.96 million, down 72.9% from FY2023.
- Net Equity Issued and Repurchased carries a five-year compound annual growth rate of 84.4% (FY2019 to FY2024).
- Going back by year, Net Equity Issued and Repurchased was $114.1 million in FY2023, $59,000 in FY2022 (-26.3%), $80,000 in FY2021 (-81.9%) and $443,000 in FY2020 (-69.5%).
- The Q3 2026 figure represents the highest quarterly Net Equity Issued and Repurchased in data going back to Q2 2010.
- Year-over-year, Net Equity Issued and Repurchased has increased for three consecutive quarters, with growth averaging 91.5% over the last seven quarters.
- The fastest year-over-year change in Net Equity Issued and Repurchased over five years came in Q3 2026 (growth of 365.4%), and the weakest in Q3 2024 (a decline of 66.6%).
- Business Quant data shows GTY's Net Equity Issued and Repurchased at $36.37 million (Q2 2026), $39.82 million (Q1 2026) and $12.24 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 3.05 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | -236.43 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 794,000.00 |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 3.06 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.35 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 824.23 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | -327.18 Mn |
| 10 | Getty Realty | 1.92 Bn | 1.90 Bn | - | 128.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 128.20 Mn |
| Jun 30, 2026 | 36.37 Mn |
| Mar 31, 2026 | 39.82 Mn |
| Dec 31, 2025 | 12.24 Mn |
| Sep 30, 2025 | 27.55 Mn |
| Jun 30, 2025 | 10.90 Mn |
| Mar 31, 2025 | 22.01 Mn |
| Dec 31, 2024 | 19.92 Mn |
| Sep 30, 2024 | 23.90 Mn |
| Jun 30, 2024 | 10.90 Mn |
| Mar 31, 2024 | -66,000.00 |
| Dec 31, 2023 | 23.75 Mn |
| Sep 30, 2023 | 71.50 Mn |
| Jun 30, 2023 | 7.21 Mn |
| Mar 31, 2023 | 15,000.00 |
| Dec 31, 2022 | 15,000.00 |
| Sep 30, 2022 | 14,000.00 |
| Jun 30, 2022 | 14,000.00 |
| Mar 31, 2022 | 16,000.00 |
| Dec 31, 2021 | 21,000.00 |
Getty Realty Net Equity Issued and Repurchased 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-equity-issued-and-repurchased&ticker=GTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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-equity-issued-and-repurchased&ticker=GTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();