Five Point Holdings (FPH) Total Debt (2016 - 2026)
Five Point Holdings (FPH) posted Total Debt of $444.4 million for Q3 2026, unchanged from $444.53 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Total Debt (2016 - 2026) Analysis & Trends
At the end of FY2025, Five Point Holdings' Total Debt came in at $443.35 million, down 15.7% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In prior years, Five Point Holdings' Total Debt was $525.74 million in FY2024 (-15.5%), $622.19 million in FY2023 (+0.2%), $620.65 million in FY2022 (+0.2%) and $619.12 million in FY2021 (+0.2%).
- Quarterly Total Debt has run from a low of $443.35 million in Q4 2025 to a high of $622.19 million in Q4 2023 over five years.
- On a year-over-year basis, Total Debt increased in two of the last eight quarters, with an average decline of 9.6%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2025, with growth of 0.6%; the weakest was Q2 2026, with a decline of 15.8%.
- According to Business Quant data, Total Debt for the three prior quarters was $444.05 million (Q2 2026), $443.7 million (Q1 2026) and $443.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | - |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 5.70 Bn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 3.13 Bn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | - |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | 1.29 Bn |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 535.72 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 2.42 Bn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 793.80 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | - |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | 444.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 444.40 Mn |
| Jun 30, 2026 | 444.05 Mn |
| Mar 31, 2026 | 443.70 Mn |
| Dec 31, 2025 | 443.35 Mn |
| Sep 30, 2025 | 444.53 Mn |
| Jun 30, 2025 | 527.46 Mn |
| Mar 31, 2025 | 526.59 Mn |
| Dec 31, 2024 | 525.74 Mn |
| Sep 30, 2024 | 524.91 Mn |
| Jun 30, 2024 | 524.10 Mn |
| Mar 31, 2024 | 523.32 Mn |
| Dec 31, 2023 | 622.19 Mn |
| Sep 30, 2023 | 621.80 Mn |
| Jun 30, 2023 | 621.42 Mn |
| Mar 31, 2023 | 621.04 Mn |
| Dec 31, 2022 | 620.65 Mn |
| Sep 30, 2022 | 620.27 Mn |
| Jun 30, 2022 | 619.88 Mn |
| Mar 31, 2022 | 619.50 Mn |
| Dec 31, 2021 | 619.12 Mn |
API Access
Five Point Holdings Total Debt 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-debt&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();