Five Point Holdings (FPH) Long-Term Investments (2016 - 2026)
Five Point Holdings (FPH) reported Long-Term Investments of $89.18 million for Q3 2026, down 47.2% from $168.87 million a year earlier and down 28.6% 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 Q3 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 25.2%.
- The high point for year-over-year Long-Term Investments in five years was Q1 2026 (growth of 6.2%); the low point was Q3 2026 (a decline of 47.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $124.9 million (Q2 2026), $152.28 million (Q1 2026) and $153.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 50.00 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | - |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 1.26 Bn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | - |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 5.80 Mn |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | - |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | 89.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.18 Mn |
| 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 |
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();