Forestar (FOR) EV to FCF (2009 - 2026)
Forestar's (FOR) EV to FCF came in at 4.32 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 29.2% from the prior quarter.
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Analysis
Forestar (FOR) EV to FCF (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to FCF at Forestar was 0.95; for FY2023 (ended Sep 30, 2023), it was 2.01, down 27.8% from FY2022.
- In prior fiscal years, Forestar's EV to FCF was 2.79 in FY2022.
- Quarterly EV to FCF has run from a low of 2.01 in fiscal Q4 2023 to a high of 34.07 in fiscal Q2 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 |
| Mar 31, 2026 | 3.34 |
| Dec 31, 2025 | 11.21 |
| Mar 31, 2024 | 12.94 |
| Dec 31, 2023 | 4.66 |
| Sep 30, 2023 | 2.01 |
| Jun 30, 2023 | 2.86 |
| Mar 31, 2023 | 9.42 |
| Dec 31, 2022 | 10.82 |
| Sep 30, 2022 | 2.79 |
| Jun 30, 2022 | 23.30 |
| Mar 31, 2022 | 34.07 |
| Sep 30, 2011 | 3.72 |
| Mar 31, 2010 | 7.78 |
| Dec 31, 2009 | 7.74 |
| Sep 30, 2009 | 2.99 |
| Jun 30, 2009 | 2.89 |
| Mar 31, 2009 | 7.25 |
API Access
Forestar EV to FCF 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=ev-to-fcf&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();