CTO Realty Growth (CTO) Shares Outstanding (2010 - 2026)
CTO Realty Growth (CTO) posted Shares Outstanding of 34.99 million for Q2 2026, up 7.1% from 32.68 million a year earlier and up 7.6% from the prior quarter.
CTO Realty Growth (CTO) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, CTO Realty Growth's Shares Outstanding came in at 32.27 million, up 27.2% from FY2024.
- Annual Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In prior years, CTO Realty Growth's Shares Outstanding was 25.36 million in FY2024 (+12.6%), 22.53 million in FY2023 (+21.7%), 18.51 million in FY2022 (+4.7%) and 17.68 million in FY2021 (+25.2%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q4 2010.
- On a year-over-year basis, Shares Outstanding has increased in each of the last nine quarters, with growth averaging 21.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q2 2023, with growth of 274.5%; the weakest was Q1 2024, with a decline of 0.7%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 32.52 million (Q1 2026), 32.27 million (Q4 2025) and 32.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | CTO Realty Growth | 768.76 Mn | 768.76 Mn | 32.71 Mn | 34.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.99 Mn |
| Mar 31, 2026 | 32.52 Mn |
| Dec 31, 2025 | 32.27 Mn |
| Sep 30, 2025 | 32.65 Mn |
| Jun 30, 2025 | 32.68 Mn |
| Mar 31, 2025 | 31.55 Mn |
| Dec 31, 2024 | 25.36 Mn |
| Sep 30, 2024 | 25.45 Mn |
| Jun 30, 2024 | 22.79 Mn |
| Mar 31, 2024 | 22.55 Mn |
| Dec 31, 2023 | 22.53 Mn |
| Sep 30, 2023 | 22.48 Mn |
| Jun 30, 2023 | 22.48 Mn |
| Mar 31, 2023 | 22.70 Mn |
| Dec 31, 2022 | 18.51 Mn |
| Sep 30, 2022 | 18.39 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 17.73 Mn |
| Dec 31, 2021 | 17.68 Mn |
| Sep 30, 2021 | 17.70 Mn |
CTO Realty Growth 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=shares-outstanding&ticker=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();