Five Point Holdings (FPH) Cash & Equivalents (2016 - 2026)
Five Point Holdings (FPH) recorded Cash & Equivalents of $358.72 million in Q3 2026, up 2.2% from $351.13 million a year earlier and up 3.0% from the prior quarter.
Five Point Holdings (FPH) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Five Point Holdings reported Cash & Equivalents of $425.55 million, down 1.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $430.88 million in FY2024 (+21.8%), $353.8 million in FY2023 (+168.5%), $131.77 million in FY2022 (-50.4%) and $265.46 million in FY2021 (-11.0%).
- Quarterly Cash & Equivalents has ranged from $86.38 million in Q3 2022 to $528.33 million in Q1 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 31.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 168.5% in Q4 2023, against a decline of 54.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $348.38 million (Q2 2026), $332.57 million (Q1 2026) and $425.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 369.56 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 16.78 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 2.87 Bn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 117.86 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 64.54 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 240.00 Mn |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 12.29 Mn |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | 910.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | 657.00 Mn |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | 358.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 358.72 Mn |
| Jun 30, 2026 | 348.38 Mn |
| Mar 31, 2026 | 332.57 Mn |
| Dec 31, 2025 | 425.55 Mn |
| Sep 30, 2025 | 351.13 Mn |
| Jun 30, 2025 | 456.64 Mn |
| Mar 31, 2025 | 528.33 Mn |
| Dec 31, 2024 | 430.88 Mn |
| Sep 30, 2024 | 224.52 Mn |
| Jun 30, 2024 | 217.39 Mn |
| Mar 31, 2024 | 232.68 Mn |
| Dec 31, 2023 | 353.80 Mn |
| Sep 30, 2023 | 218.26 Mn |
| Jun 30, 2023 | 193.20 Mn |
| Mar 31, 2023 | 106.58 Mn |
| Dec 31, 2022 | 131.77 Mn |
| Sep 30, 2022 | 86.38 Mn |
| Jun 30, 2022 | 127.82 Mn |
| Mar 31, 2022 | 203.65 Mn |
| Dec 31, 2021 | 265.46 Mn |
Five Point Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=FPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();