Five Point Holdings (FPH) Net Margin (2016 - 2026)
Five Point Holdings' Net Margin came in at -17.65% for Q3 2026, down 173.87 percentage points from 156.22% a year earlier and down 95.78 percentage points from the prior quarter.
Five Point Holdings (FPH) Net Margin (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Five Point Holdings reported Net Margin of 24.87%, down 23.70 percentage points year-over-year; for FY2025, it came in at 64.50%, up 35.80 percentage points from FY2024.
- Net Margin has increased in each of the last three years, with a five-year change of +64.78 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was 28.71% in FY2024 (+2.54 pp), 26.16% in FY2023 (+62.24 pp), -36.08% in FY2022 (-39.00 pp) and 2.93% in FY2021 (+3.21 pp).
- The Q3 2026 figure represents the lowest quarterly Net Margin since Q1 2023.
- Year-over-year, Net Margin increased in six of the last eight quarters, with an average year-over-year change of -3.80 percentage points.
- The fastest year-over-year change in Net Margin over five years came in Q1 2023 (a gain of 271.03 percentage points), and the weakest in Q1 2022 (a drop of 276.40 percentage points).
- Business Quant data shows FPH's Net Margin at 78.13% (Q2 2026), -16.40% (Q1 2026) and 30.69% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 61.22% |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | -0.17% |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 61.61% |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 23.64% |
| 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 | 46.45% |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | -21.33% |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 8.82% |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -18.21% |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | -17.65% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -17.65% |
| Jun 30, 2026 | 78.13% |
| Mar 31, 2026 | -16.40% |
| Dec 31, 2025 | 30.69% |
| Sep 30, 2025 | 156.22% |
| Jun 30, 2025 | 44.43% |
| Mar 31, 2025 | 176.97% |
| Dec 31, 2024 | 29.10% |
| Sep 30, 2024 | 27.96% |
| Jun 30, 2024 | 28.76% |
| Mar 31, 2024 | 23.41% |
| Dec 31, 2023 | 25.06% |
| Sep 30, 2023 | 10.02% |
| Jun 30, 2023 | 110.41% |
| Mar 31, 2023 | -79.56% |
| Dec 31, 2022 | 66.34% |
| Sep 30, 2022 | -28.79% |
| Jun 30, 2022 | -94.77% |
| Mar 31, 2022 | -350.59% |
| Dec 31, 2021 | 12.34% |
Five Point Holdings Net 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=net-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();