Five Point Holdings (FPH) Other Operating Expenses (2016 - 2026)
Five Point Holdings (FPH) posted Other Operating Expenses of $7.19 million for Q2 2026, up 75.3% from $4.1 million a year earlier but down 15.1% from the prior quarter.
Powered by 
Analysis
Five Point Holdings (FPH) Other Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Five Point Holdings was $63.81 million, down 41.8% year-over-year; for FY2025, it was $56.79 million, down 52.3% from FY2024.
- Annual Other Operating Expenses shows a three-year compound annual growth rate of 27.4% (FY2022 to FY2025).
- In prior years, Five Point Holdings' Other Operating Expenses was $119.1 million in FY2024 (-11.1%), $133.99 million in FY2023 (+387.3%) and $27.5 million in FY2022.
- Quarterly Other Operating Expenses has run from a low of $3.54 million in Q1 2023 to a high of $114.5 million in Q4 2021 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2023, with growth of 717.9%; the weakest was Q4 2022, with a decline of 91.9%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $8.47 million (Q1 2026), $41.05 million (Q4 2025) and $7.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.84 Bn | 22.67 Bn | - |
| 2 | St Joe | 3.96 Bn | 3.46 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.83 Bn | 3.47 Bn | - |
| 4 | LandBridge | 2.23 Bn | 2.10 Bn | 65.71 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.82 Bn | 86.00 Mn |
| 6 | Forestar | 1.30 Bn | -44.67 Mn | 84.10 Mn |
| 7 | Five Point Holdings | 659.65 Mn | -797.98 Mn | -23.72 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.19 Mn |
| Mar 31, 2026 | 8.47 Mn |
| Dec 31, 2025 | 41.05 Mn |
| Sep 30, 2025 | 7.09 Mn |
| Jun 30, 2025 | 4.10 Mn |
| Mar 31, 2025 | 4.55 Mn |
| Dec 31, 2024 | 95.53 Mn |
| Sep 30, 2024 | 5.49 Mn |
| Jun 30, 2024 | 13.19 Mn |
| Mar 31, 2024 | 4.89 Mn |
| Dec 31, 2023 | 76.28 Mn |
| Sep 30, 2023 | 42.69 Mn |
| Jun 30, 2023 | 11.48 Mn |
| Mar 31, 2023 | 3.54 Mn |
| Dec 31, 2022 | 9.33 Mn |
| Sep 30, 2022 | 9.07 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 114.50 Mn |
| Sep 30, 2021 | 10.17 Mn |
API Access
Five Point Holdings Other 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=other-operating-expenses&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();