Five Point Holdings (FPH) Operating Margin (2016 - 2026)
Five Point Holdings' Operating Margin came in at -86.18% for Q3 2026, up 453.38 percentage points from -539.55% a year earlier and up 239.00 percentage points from the prior quarter.
Five Point Holdings (FPH) Operating Margin (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Five Point Holdings reported Operating Margin of -111.47%, up 28.24 percentage points year-over-year; for FY2025, it came in at -211.79%, down 141.43 percentage points from FY2024.
- Operating Margin carries a five-year change of -171.60 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was -70.35% in FY2024 (+79.23 pp), -149.58% in FY2023 (+422.43 pp) and -572.01% in FY2022.
- The five-year range for quarterly Operating Margin is -941.50% (Q4 2022) to -47.62% (Q3 2023).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +9.42 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q4 2023 (a gain of 817.03 percentage points), and the weakest in Q3 2025 (a drop of 426.85 percentage points).
- Business Quant data shows FPH's Operating Margin at -325.18% (Q2 2026), -133.39% (Q1 2026) and -73.28% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 76.00% |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 24.67% |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 85.52% |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 39.40% |
| 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 | 66.07% |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | -18.30% |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 11.25% |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -128.01% |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | -86.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -86.18% |
| Jun 30, 2026 | -325.18% |
| Mar 31, 2026 | -133.39% |
| Dec 31, 2025 | -73.28% |
| Sep 30, 2025 | -539.55% |
| Jun 30, 2025 | -377.87% |
| Mar 31, 2025 | -580.47% |
| Dec 31, 2024 | -58.53% |
| Sep 30, 2024 | -112.71% |
| Jun 30, 2024 | -75.51% |
| Mar 31, 2024 | -380.72% |
| Dec 31, 2023 | -124.48% |
| Sep 30, 2023 | -47.62% |
| Jun 30, 2023 | -67.08% |
| Mar 31, 2023 | -244.78% |
| Dec 31, 2022 | -941.50% |
| Sep 30, 2022 | -95.68% |
| Jun 30, 2022 | -304.36% |
| Sep 30, 2021 | -98.58% |
| Jun 30, 2021 | -306.43% |
Five Point Holdings Operating Margin 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-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();