Five Point Holdings (FPH) Tax Provisions (2016 - 2026)
Five Point Holdings (FPH) reported Tax Provisions of -$4,000 for Q3 2026, compared with $9.2 million a year earlier.
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Analysis
Five Point Holdings (FPH) Tax Provisions (2016 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Five Point Holdings' Tax Provisions came in at $14.09 million, down 63.8% year-over-year; for FY2025, it was $28.93 million, up 5.2% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 75.4% (FY2020 to FY2025).
- By year, Tax Provisions came in at $27.5 million in FY2024, -$4.42 million in FY2023, -$1.5 million in FY2022 and -$325,000 in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$4.43 million in Q4 2023 and a high of $18.8 million in Q4 2024.
- Year over year, Tax Provisions gained in three of the last five quarters, with growth averaging 293.8%.
- The high point for year-over-year Tax Provisions in five years was Q1 2025 (growth of 852.2%); the low point was Q2 2025 (a decline of 77.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $6.21 million (Q2 2026), -$942,000 (Q1 2026) and $8.83 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 43.02 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 1.50 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 4.88 Mn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 12.90 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 3.90 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 1.00 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 12.70 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -100,000.00 |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | -4,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -4,000.00 |
| Jun 30, 2026 | 6.21 Mn |
| Mar 31, 2026 | -942,000.00 |
| Dec 31, 2025 | 8.83 Mn |
| Sep 30, 2025 | 9.20 Mn |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 9.52 Mn |
| Dec 31, 2024 | 18.80 Mn |
| Sep 30, 2024 | 1.90 Mn |
| Jun 30, 2024 | 5.90 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | -4.43 Mn |
| Sep 30, 2023 | 3,000.00 |
| Jun 30, 2023 | 5,000.00 |
| Mar 31, 2023 | 8,000.00 |
| Dec 31, 2022 | -1.52 Mn |
| Sep 30, 2022 | 3,000.00 |
| Jun 30, 2022 | 8,000.00 |
| Mar 31, 2022 | 5,000.00 |
| Dec 31, 2021 | -330,000.00 |
API Access
Five Point Holdings Tax Provisions 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=tax-provisions&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();