St Joe (JOE) Shares Outstanding (Diluted) (2009 - 2026)
St Joe (JOE) recorded Shares Outstanding (Diluted) of 57.17 million in Q2 2026, down 1.5% from 58.06 million a year earlier and down 0.6% from the prior quarter.
St Joe (JOE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, St Joe reported Shares Outstanding (Diluted) of 57.96 million, down 0.7% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 58.35 million in FY2024 (unchanged), 58.32 million in FY2023 (-0.7%), 58.72 million in FY2022 (-0.3%) and 58.88 million in FY2021 (-0.2%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for six consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 0.1% in Q1 2024, against a decline of 1.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 57.51 million (Q1 2026), 57.96 million (Q4 2025) and 57.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.04 Bn | 21.87 Bn | - | 69.03 Mn |
| 2 | St Joe | 3.99 Bn | 3.48 Bn | 73.42 Mn | 57.17 Mn |
| 3 | Millrose Properties | 3.96 Bn | 3.60 Bn | - | 166.06 Mn |
| 4 | Opendoor Technologies | 1.93 Bn | -1.89 Bn | 86.00 Mn | 965.78 Mn |
| 5 | Forestar | 1.34 Bn | -11.96 Mn | 84.10 Mn | 51.30 Mn |
| 6 | Five Point Holdings | 673.73 Mn | -783.89 Mn | -23.72 Mn | 225.19 Mn |
| 7 | Tejon Ranch | 449.62 Mn | 369.24 Mn | - | 27.07 Mn |
| 8 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - | 60.90 Mn |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | 433.56 Mn |
| 10 | Star Holdings | 91.57 Mn | -80.29 Mn | 5.31 Mn | 12.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.17 Mn |
| Mar 31, 2026 | 57.51 Mn |
| Dec 31, 2025 | 57.96 Mn |
| Sep 30, 2025 | 57.86 Mn |
| Jun 30, 2025 | 58.06 Mn |
| Mar 31, 2025 | 58.26 Mn |
| Dec 31, 2024 | 58.35 Mn |
| Sep 30, 2024 | 58.35 Mn |
| Jun 30, 2024 | 58.35 Mn |
| Mar 31, 2024 | 58.34 Mn |
| Dec 31, 2023 | 58.32 Mn |
| Sep 30, 2023 | 58.33 Mn |
| Jun 30, 2023 | 58.32 Mn |
| Mar 31, 2023 | 58.31 Mn |
| Dec 31, 2022 | 58.72 Mn |
| Sep 30, 2022 | 58.81 Mn |
| Jun 30, 2022 | 58.89 Mn |
| Mar 31, 2022 | 58.89 Mn |
| Dec 31, 2021 | 58.88 Mn |
| Sep 30, 2021 | 58.88 Mn |
St Joe Shares Outstanding (Diluted) 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-diluted&ticker=JOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JOE", "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-diluted&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();