Five Point Holdings (FPH) Cost of Revenue (2016 - 2026)
Five Point Holdings' Cost of Revenue was $7.52 million in Q3 2026, down 88.4% from $64.88 million a year earlier and down 80.0% from the prior quarter.
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Analysis
Five Point Holdings (FPH) Cost of Revenue (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Five Point Holdings' Cost of Revenue was $128.11 million through Sep 30, 2026, down 56.5% year-over-year; for FY2025, it came in at $225.62 million, down 4.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 61.6% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $234.99 million in FY2024 (-31.5%), $342.96 million in FY2023 (+85.0%) and $185.38 million in FY2022.
- The Q3 2026 figure marks the lowest quarterly Cost of Revenue since Q1 2023.
- Compared with a year earlier, Cost of Revenue was higher in three of the last eight quarters, with growth averaging 24.5%.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2024 (growth of 461.6%); the worst was Q3 2026 (a decline of 88.4%).
- Per Business Quant data, FPH's Cost of Revenue in the three quarters before Q3 2026 was $37.62 million (Q2 2026), $8.47 million (Q1 2026) and $74.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 167.28 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 1.09 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 200.55 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 75.53 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 3.85 Mn |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | 984.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | 477.70 Mn |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | 7.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.52 Mn |
| Jun 30, 2026 | 37.62 Mn |
| Mar 31, 2026 | 8.47 Mn |
| Dec 31, 2025 | 74.50 Mn |
| Sep 30, 2025 | 64.88 Mn |
| Jun 30, 2025 | 16.02 Mn |
| Mar 31, 2025 | 70.22 Mn |
| Dec 31, 2024 | 143.56 Mn |
| Sep 30, 2024 | 18.79 Mn |
| Jun 30, 2024 | 64.47 Mn |
| Mar 31, 2024 | 29.96 Mn |
| Dec 31, 2023 | 177.21 Mn |
| Sep 30, 2023 | 42.69 Mn |
| Jun 30, 2023 | 11.48 Mn |
| Mar 31, 2023 | 2.37 Mn |
| Dec 31, 2022 | 154.60 Mn |
| Sep 30, 2022 | 9.07 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 12.90 Mn |
| Sep 30, 2021 | 10.17 Mn |
API Access
Five Point Holdings Cost of Revenue 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=cost-of-revenue&ticker=FPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();