Five Point Holdings (FPH) Operating Expenses (2016 - 2026)
Five Point Holdings' Operating Expenses came in at $21.49 million for Q2 2026, up 9.1% from $19.69 million a year earlier but down 7.5% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Five Point Holdings reported Operating Expenses of $123.12 million, down 25.9% year-over-year; for FY2025, it was $117.41 million, down 31.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $170.33 million in FY2024 (-8.2%), $185.48 million in FY2023 (+82.7%), $101.52 million in FY2022 (-54.1%) and $221.41 million in FY2021 (+13.6%).
- The five-year range for quarterly Operating Expenses is $17.23 million (Q2 2022) to $132.1 million (Q4 2021).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with an average decline of 6.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 298.2%), and the weakest in Q4 2022 (a decline of 83.0%).
- Business Quant data shows FPH's Operating Expenses at $23.22 million (Q1 2026), $57.03 million (Q4 2025) and $21.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 13.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.49 Mn |
| Mar 31, 2026 | 23.22 Mn |
| Dec 31, 2025 | 57.03 Mn |
| Sep 30, 2025 | 21.38 Mn |
| Jun 30, 2025 | 19.69 Mn |
| Mar 31, 2025 | 19.31 Mn |
| Dec 31, 2024 | 109.75 Mn |
| Sep 30, 2024 | 17.40 Mn |
| Jun 30, 2024 | 25.38 Mn |
| Mar 31, 2024 | 17.80 Mn |
| Dec 31, 2023 | 89.38 Mn |
| Sep 30, 2023 | 54.63 Mn |
| Jun 30, 2023 | 24.19 Mn |
| Mar 31, 2023 | 17.29 Mn |
| Dec 31, 2022 | 22.45 Mn |
| Sep 30, 2022 | 21.10 Mn |
| Jun 30, 2022 | 17.23 Mn |
| Mar 31, 2022 | 40.75 Mn |
| Dec 31, 2021 | 132.10 Mn |
| Sep 30, 2021 | 30.93 Mn |
API Access
Five Point Holdings Operating Expenses 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=operating-expenses&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();