Five Point Holdings (FPH) Revenue (2016 - 2026)
Five Point Holdings' Revenue came in at $14.62 million for Q3 2026, up 8.4% from $13.49 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Revenue (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Five Point Holdings reported Revenue of $118 million, down 39.1% year-over-year; for FY2025, it came in at $110.02 million, down 53.8% from FY2024.
- Revenue carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Revenue was $237.93 million in FY2024 (+12.4%), $211.73 million in FY2023 (+395.9%), $42.69 million in FY2022 (-81.0%) and $224.39 million in FY2021 (+46.1%).
- The five-year range for quarterly Revenue is $4.89 million (Q1 2022) to $182.22 million (Q4 2021).
- Year-over-year, Revenue has increased for three consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q4 2023 (growth of 598.6%), and the weakest in Q4 2022 (a decline of 90.7%).
- Business Quant data shows FPH's Revenue at $13.9 million (Q2 2026), $13.58 million (Q1 2026) and $75.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 273.39 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 636.30 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 211.00 Mn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 156.19 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 | 66.84 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 1.02 Bn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 407.00 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | 41.53 Mn |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | 14.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.62 Mn |
| Jun 30, 2026 | 13.90 Mn |
| Mar 31, 2026 | 13.58 Mn |
| Dec 31, 2025 | 75.90 Mn |
| Sep 30, 2025 | 13.49 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 13.16 Mn |
| Dec 31, 2024 | 159.79 Mn |
| Sep 30, 2024 | 17.01 Mn |
| Jun 30, 2024 | 51.19 Mn |
| Mar 31, 2024 | 9.94 Mn |
| Dec 31, 2023 | 118.76 Mn |
| Sep 30, 2023 | 65.92 Mn |
| Jun 30, 2023 | 21.35 Mn |
| Mar 31, 2023 | 5.70 Mn |
| Dec 31, 2022 | 17.00 Mn |
| Sep 30, 2022 | 15.42 Mn |
| Jun 30, 2022 | 5.39 Mn |
| Mar 31, 2022 | 4.89 Mn |
| Dec 31, 2021 | 182.22 Mn |
API Access
Five Point Holdings Revenue 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=revenue&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();