Five Point Holdings (FPH) Total Liabilities (2016 - 2026)
Five Point Holdings (FPH) recorded Total Liabilities of $894.94 million in Q3 2026, down 1.1% from $905.3 million a year earlier but up 1.1% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Five Point Holdings reported Total Liabilities of $930.56 million, up 1.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $921.32 million in FY2024 (-6.7%), $987.18 million in FY2023 (-3.0%), $1.02 billion in FY2022 (-2.4%) and $1.04 billion in FY2021 (-3.2%).
- Quarterly Total Liabilities has ranged from $879.88 million in Q1 2026 to $1.06 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 1.0% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 6.8% in Q1 2025, against a decline of 13.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $884.8 million (Q2 2026), $879.88 million (Q1 2026) and $930.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 185.94 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 12.24 Bn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 4.70 Bn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 724.80 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | 1.79 Bn |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 545.46 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 3.15 Bn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 1.36 Bn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | 58.41 Mn |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | 894.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 894.94 Mn |
| Jun 30, 2026 | 884.80 Mn |
| Mar 31, 2026 | 879.88 Mn |
| Dec 31, 2025 | 930.56 Mn |
| Sep 30, 2025 | 905.30 Mn |
| Jun 30, 2025 | 933.69 Mn |
| Mar 31, 2025 | 944.14 Mn |
| Dec 31, 2024 | 921.32 Mn |
| Sep 30, 2024 | 910.40 Mn |
| Jun 30, 2024 | 892.81 Mn |
| Mar 31, 2024 | 883.63 Mn |
| Dec 31, 2023 | 987.18 Mn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.02 Bn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.04 Bn |
API Access
Five Point Holdings Total Liabilities 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=total-liabilities&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();