Five Point Holdings (FPH) Long-Term Investments (2016 - 2026)
Five Point Holdings (FPH) reported Long-Term Investments of $124.9 million for Q2 2026, down 22.1% from $160.42 million a year earlier and down 18.0% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025, Five Point Holdings posted Long-Term Investments of $153.09 million, down 17.4% from FY2024.
- Long-Term Investments has declined for six consecutive years, with a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $185.32 million in FY2024 (-26.7%), $252.82 million in FY2023 (-23.8%), $331.59 million in FY2022 (-11.5%) and $374.55 million in FY2021 (-15.4%).
- The Q2 2026 figure ranks as the lowest quarterly Long-Term Investments in data going back to Q4 2016.
- Year over year, Long-Term Investments gained in 1 of the last eight quarters, with an average decline of 23.0%.
- The high point for year-over-year Long-Term Investments in five years was Q1 2026 (growth of 6.2%); the low point was Q1 2025 (a decline of 41.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $152.28 million (Q1 2026), $153.09 million (Q4 2025) and $168.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.78 Bn | 22.61 Bn | - | - |
| 2 | St Joe | 3.90 Bn | 3.39 Bn | 73.42 Mn | - |
| 3 | Millrose Properties | 3.85 Bn | 3.49 Bn | - | - |
| 4 | Opendoor Technologies | 1.88 Bn | -1.94 Bn | 86.00 Mn | - |
| 5 | Forestar | 1.29 Bn | -57.45 Mn | 84.10 Mn | - |
| 6 | Five Point Holdings | 644.08 Mn | -813.54 Mn | -23.72 Mn | 124.90 Mn |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | 39.27 Mn |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 137.47 Mn |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | - |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | 212.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.90 Mn |
| Mar 31, 2026 | 152.28 Mn |
| Dec 31, 2025 | 153.09 Mn |
| Sep 30, 2025 | 168.87 Mn |
| Jun 30, 2025 | 160.42 Mn |
| Mar 31, 2025 | 143.35 Mn |
| Dec 31, 2024 | 185.32 Mn |
| Sep 30, 2024 | 210.76 Mn |
| Jun 30, 2024 | 237.78 Mn |
| Mar 31, 2024 | 246.41 Mn |
| Dec 31, 2023 | 252.82 Mn |
| Sep 30, 2023 | 301.44 Mn |
| Jun 30, 2023 | 302.34 Mn |
| Mar 31, 2023 | 332.56 Mn |
| Dec 31, 2022 | 331.59 Mn |
| Sep 30, 2022 | 367.49 Mn |
| Jun 30, 2022 | 372.69 Mn |
| Mar 31, 2022 | 373.02 Mn |
| Dec 31, 2021 | 374.55 Mn |
| Sep 30, 2021 | 374.44 Mn |
API Access
Five Point Holdings Long-Term Investments 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=long-term-investments&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();