Five Point Holdings (FPH) Shares Outstanding (Diluted) (2016 - 2026)
Five Point Holdings' Weighted Average Shares Outstanding (Diluted) was 76.1 million in Q3 2026, down 66.7% from 228.66 million a year earlier and down 66.2% from the prior quarter.
Five Point Holdings (FPH) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Five Point Holdings came in at 149.3 million, down 34.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 226.18 million in FY2024 (+55.8%), 145.13 million in FY2023 (-1.7%), 147.66 million in FY2022 (-33.7%) and 222.72 million in FY2021 (+222.8%).
- The Q3 2026 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2020.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for four straight quarters, with an average decline of 2.9% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q4 2021 (growth of 222.8%); the worst was Q3 2026 (a decline of 66.7%).
- Per Business Quant data, FPH's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 225.19 million (Q2 2026), 147.61 million (Q1 2026) and 149.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 69.04 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 29.15 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 59.02 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | 166.06 Mn |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 56.76 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | 86.11 Mn |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 26.49 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | 51.30 Mn |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | 949.48 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | 76.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.10 Mn |
| Jun 30, 2026 | 225.19 Mn |
| Mar 31, 2026 | 147.61 Mn |
| Dec 31, 2025 | 149.30 Mn |
| Sep 30, 2025 | 228.66 Mn |
| Jun 30, 2025 | 227.96 Mn |
| Mar 31, 2025 | 148.82 Mn |
| Dec 31, 2024 | 226.18 Mn |
| Sep 30, 2024 | 225.80 Mn |
| Jun 30, 2024 | 145.94 Mn |
| Mar 31, 2024 | 225.11 Mn |
| Dec 31, 2023 | 145.13 Mn |
| Sep 30, 2023 | 224.55 Mn |
| Jun 30, 2023 | 224.27 Mn |
| Mar 31, 2023 | 147.94 Mn |
| Dec 31, 2022 | 147.66 Mn |
| Sep 30, 2022 | 148.11 Mn |
| Jun 30, 2022 | 79.23 Mn |
| Mar 31, 2022 | 149.28 Mn |
| Dec 31, 2021 | 222.72 Mn |
Five Point Holdings 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=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();