Forestar (FOR) Cash & Equivalents (2009 - 2026)
Forestar (FOR) reported Cash & Equivalents of $657 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 73.3% from $379.2 million a year earlier and up 66.4% from the prior quarter.
Forestar (FOR) Cash & Equivalents (2009 - 2026) Analysis & Trends
Dating back to fiscal Q2 2010, Forestar's Cash & Equivalents record includes 62 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of 33.7% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $379.2 million in FY2025 (-21.2%), $481.2 million in FY2024 (-21.9%), $616 million in FY2023 (+132.6%) and $264.8 million in FY2022 (+72.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to fiscal Q2 2010.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 19.0% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2023 (growth of 174.1%); the low point was fiscal Q1 2025 (a decline of 71.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $394.9 million (Q3 2026), $362.2 million (Q2 2026) and $211.7 million (Q1 2026).
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 | 657.00 Mn |
| Jun 30, 2026 | 394.90 Mn |
| Mar 31, 2026 | 362.20 Mn |
| Dec 31, 2025 | 211.70 Mn |
| Sep 30, 2025 | 379.20 Mn |
| Jun 30, 2025 | 189.20 Mn |
| Mar 31, 2025 | 174.30 Mn |
| Dec 31, 2024 | 132.00 Mn |
| Sep 30, 2024 | 481.20 Mn |
| Jun 30, 2024 | 359.20 Mn |
| Mar 31, 2024 | 416.20 Mn |
| Dec 31, 2023 | 458.90 Mn |
| Sep 30, 2023 | 616.00 Mn |
| Jun 30, 2023 | 401.00 Mn |
| Mar 31, 2023 | 286.70 Mn |
| Dec 31, 2022 | 216.40 Mn |
| Sep 30, 2022 | 264.80 Mn |
| Jun 30, 2022 | 146.30 Mn |
| Mar 31, 2022 | 233.70 Mn |
| Dec 31, 2021 | 162.50 Mn |
Forestar 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=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FOR", "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=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();