Five Point Holdings (FPH) Return on Sales [ROS] (2016 - 2026)
Five Point Holdings' Return on Sales [ROS] was -86.18% in 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) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Five Point Holdings' Return on Sales [ROS] was -111.47% through Sep 30, 2026, up 28.24 percentage points year-over-year; for FY2025, it was -211.79%, down 141.43 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -171.60 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -70.35% in FY2024 (+79.23 pp), -149.58% in FY2023 (+422.43 pp), -572.01% in FY2022 (-577.79 pp) and 5.79% in FY2021 (+45.98 pp).
- Quarterly Return on Sales [ROS] has moved between -941.50% (Q4 2022) and 25.90% (Q4 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +9.42 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 817.03 percentage points); the worst was Q4 2022 (a drop of 967.40 percentage points).
- Per Business Quant data, FPH's Return on Sales [ROS] in the three quarters before Q3 2026 was -325.18% (Q2 2026), -133.39% (Q1 2026) and -73.28% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 76.00% |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 68.06% |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 24.67% |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 39.40% |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 85.52% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 91.58% |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -18.30% |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 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% |
| Mar 31, 2022 | -998.10% |
| Dec 31, 2021 | 27.50% |
Five Point Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();