Five Point Holdings (FPH) EBITDA Margin (2016 - 2026)
Five Point Holdings (FPH) reported EBITDA Margin of -74.26% for Q3 2026, up 450.57 percentage points from -524.83% a year earlier and up 237.01 percentage points from the prior quarter.
Five Point Holdings (FPH) EBITDA Margin (2016 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Five Point Holdings' EBITDA Margin came in at -103.94%, up 31.38 percentage points year-over-year; for FY2025, it came in at -203.83%, down 141.61 percentage points from FY2024.
- EBITDA Margin has a five-year change of -172.85 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -62.21% in FY2024 (+77.95 pp), -140.17% in FY2023 (+392.15 pp), -532.32% in FY2022 (-549.68 pp) and 17.37% in FY2021 (+48.35 pp).
- Five-year quarterly EBITDA Margin spans a low of -899.25% in Q4 2022 and a high of 29.34% in Q4 2021.
- Year over year, EBITDA Margin has now increased in each of the last three quarters, with an average year-over-year change of +5.79 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q4 2023 (a gain of 780.54 percentage points); the low point was Q4 2022 (a drop of 928.59 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -311.27% (Q2 2026), -120.68% (Q1 2026) and -68.68% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 84.35% |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 31.91% |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | - |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 46.67% |
| 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 | 73.49% |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | -17.51% |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 11.43% |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -106.88% |
| 10 | Five Point Holdings | 332.54 Mn | -1.13 Bn | 7.10 Mn | -74.26% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -74.26% |
| Jun 30, 2026 | -311.27% |
| Mar 31, 2026 | -120.68% |
| Dec 31, 2025 | -68.68% |
| Sep 30, 2025 | -524.83% |
| Jun 30, 2025 | -360.99% |
| Mar 31, 2025 | -565.16% |
| Dec 31, 2024 | -56.48% |
| Sep 30, 2024 | -95.16% |
| Jun 30, 2024 | -55.53% |
| Mar 31, 2024 | -351.84% |
| Dec 31, 2023 | -118.70% |
| Sep 30, 2023 | -44.78% |
| Jun 30, 2023 | -24.05% |
| Mar 31, 2023 | -209.38% |
| Dec 31, 2022 | -899.25% |
| Sep 30, 2022 | -52.03% |
| Jun 30, 2022 | -277.62% |
| Mar 31, 2022 | -720.59% |
| Dec 31, 2021 | 29.34% |
Five Point Holdings EBITDA 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=ebitda-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();