Five Point Holdings (FPH) Shares Outstanding (2016 - 2026)
Five Point Holdings (FPH) reported Shares Outstanding of 148.23 million for Q2 2026, up 87.1% from 79.23 million a year earlier and up 0.4% from the prior quarter.
Five Point Holdings (FPH) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Five Point Holdings posted Shares Outstanding of 148.53 million, up 87.5% from FY2024.
- Shares Outstanding has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 79.23 million in FY2024 (unchanged), 79.23 million in FY2023 (unchanged), 79.23 million in FY2022 (-46.0%) and 146.63 million in FY2021 (+85.1%).
- Five-year quarterly Shares Outstanding spans a low of 79.23 million in Q3 2021 and a high of 149.03 million in Q3 2025.
- Year over year, Shares Outstanding has now increased in each of the last four quarters, with growth averaging 32.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2025 (growth of 88.1%); the low point was Q2 2025 (a decline of 46.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 147.61 million (Q1 2026), 148.53 million (Q4 2025) and 149.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.86 Bn | 22.69 Bn | - | 68.97 Mn |
| 2 | St Joe | 3.92 Bn | 3.41 Bn | 73.42 Mn | 57.16 Mn |
| 3 | Millrose Properties | 3.89 Bn | 3.53 Bn | - | 166.05 Mn |
| 4 | LandBridge | 2.24 Bn | 2.11 Bn | 65.71 Mn | 27.96 Mn |
| 5 | Opendoor Technologies | 1.95 Bn | -1.87 Bn | 86.00 Mn | 965.78 Mn |
| 6 | Forestar | 1.31 Bn | -42.12 Mn | 84.10 Mn | 51.11 Mn |
| 7 | Five Point Holdings | 641.86 Mn | -815.76 Mn | -23.72 Mn | 148.23 Mn |
| 8 | Tejon Ranch | 428.29 Mn | 347.91 Mn | - | 27.00 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 60.47 Mn |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 | 433.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.23 Mn |
| Mar 31, 2026 | 147.61 Mn |
| Dec 31, 2025 | 148.53 Mn |
| Sep 30, 2025 | 149.03 Mn |
| Jun 30, 2025 | 79.23 Mn |
| Mar 31, 2025 | 79.23 Mn |
| Dec 31, 2024 | 79.23 Mn |
| Sep 30, 2024 | 79.23 Mn |
| Jun 30, 2024 | 148.47 Mn |
| Mar 31, 2024 | 79.23 Mn |
| Dec 31, 2023 | 79.23 Mn |
| Sep 30, 2023 | 148.10 Mn |
| Jun 30, 2023 | 148.05 Mn |
| Mar 31, 2023 | 147.94 Mn |
| Dec 31, 2022 | 79.23 Mn |
| Sep 30, 2022 | 79.23 Mn |
| Jun 30, 2022 | 79.23 Mn |
| Mar 31, 2022 | 147.40 Mn |
| Dec 31, 2021 | 146.63 Mn |
| Sep 30, 2021 | 79.23 Mn |
Five Point Holdings 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=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "FPH", "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=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();