Five Point Holdings (FPH) Retained Earnings (2016 - 2026)
Five Point Holdings' Retained Earnings was $236.68 million in Q2 2026, up 28.9% from $183.68 million a year earlier and up 4.8% from the prior quarter.
Five Point Holdings (FPH) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Five Point Holdings came in at $228.04 million, up 45.2% from FY2024.
- Retained Earnings has now increased for three consecutive years, with a five-year compound annual growth rate of 40.1% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $157.08 million in FY2024 (+76.9%), $88.78 million in FY2023 (+165.9%), $33.39 million in FY2022 (-31.6%) and $48.79 million in FY2021 (+15.6%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2016.
- Compared with a year earlier, Retained Earnings has increased for 13 straight quarters, with growth averaging 65.0% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2024 (growth of 215.8%); the worst was Q3 2021 (a decline of 36.5%).
- Per Business Quant data, FPH's Retained Earnings in the three quarters before Q2 2026 was $225.82 million (Q1 2026), $228.04 million (Q4 2025) and $204.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 1.79 Bn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | -76.63 Mn |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 37.46 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 572.26 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 1.45 Bn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -5.37 Bn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 1.13 Bn |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 236.68 Mn |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 114.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.68 Mn |
| Mar 31, 2026 | 225.82 Mn |
| Dec 31, 2025 | 228.04 Mn |
| Sep 30, 2025 | 204.75 Mn |
| Jun 30, 2025 | 183.68 Mn |
| Mar 31, 2025 | 180.36 Mn |
| Dec 31, 2024 | 157.08 Mn |
| Sep 30, 2024 | 110.58 Mn |
| Jun 30, 2024 | 105.83 Mn |
| Mar 31, 2024 | 91.11 Mn |
| Dec 31, 2023 | 88.78 Mn |
| Sep 30, 2023 | 59.02 Mn |
| Jun 30, 2023 | 52.42 Mn |
| Mar 31, 2023 | 28.85 Mn |
| Dec 31, 2022 | 33.39 Mn |
| Sep 30, 2022 | 22.11 Mn |
| Jun 30, 2022 | 26.55 Mn |
| Mar 31, 2022 | 31.66 Mn |
| Dec 31, 2021 | 48.79 Mn |
| Sep 30, 2021 | 26.31 Mn |
Five Point Holdings Retained Earnings 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=retained-earnings&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();