Five Point Holdings (FPH) Market Capitalization (2017 - 2026)
Five Point Holdings (FPH) posted Market Capitalization of $692.72 million for Q3 2026, down 24.2% from $913.55 million a year earlier and down 11.3% from the prior quarter.
Five Point Holdings (FPH) Market Capitalization (2017 - 2026) Analysis & Trends
For FY2025, Five Point Holdings' Market Capitalization came in at $822.83 million, up 46.6% from FY2024.
- Annual Market Capitalization has increased for three consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Five Point Holdings' Market Capitalization was $561.17 million in FY2024 (+23.5%), $454.54 million in FY2023 (+32.1%), $344.05 million in FY2022 (-64.8%) and $976.69 million in FY2021 (+20.9%).
- The Q3 2026 figure stands as the lowest quarterly Market Capitalization since Q4 2024.
- On a year-over-year basis, Market Capitalization has declined in each of the last three quarters, with growth averaging 29.8% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q2 2025, with growth of 88.3%; the weakest was Q3 2022, with a decline of 67.1%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $781.2 million (Q2 2026), $714.44 million (Q1 2026) and $822.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 692.72 Mn |
| Jun 30, 2026 | 781.20 Mn |
| Mar 31, 2026 | 714.44 Mn |
| Dec 31, 2025 | 822.83 Mn |
| Sep 30, 2025 | 913.55 Mn |
| Jun 30, 2025 | 820.02 Mn |
| Mar 31, 2025 | 796.15 Mn |
| Dec 31, 2024 | 561.17 Mn |
| Sep 30, 2024 | 616.33 Mn |
| Jun 30, 2024 | 435.37 Mn |
| Mar 31, 2024 | 465.09 Mn |
| Dec 31, 2023 | 454.54 Mn |
| Sep 30, 2023 | 439.86 Mn |
| Jun 30, 2023 | 427.85 Mn |
| Mar 31, 2023 | 350.30 Mn |
| Dec 31, 2022 | 344.05 Mn |
| Sep 30, 2022 | 384.15 Mn |
| Jun 30, 2022 | 577.62 Mn |
| Mar 31, 2022 | 906.12 Mn |
| Dec 31, 2021 | 976.69 Mn |
Five Point Holdings Market Capitalization 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=market-capitalization&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();