Forestar (FOR) EV to CFO (2011 - 2026)
Forestar's (FOR) EV to CFO came in at 4.30 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 29.6% from the prior quarter.
Forestar (FOR) EV to CFO (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to CFO at Forestar was 0.94; for FY2023 (ended Sep 30, 2023), it was 2.00, down 25.7% from FY2022.
- In prior fiscal years, Forestar's EV to CFO was 2.70 in FY2022.
- Quarterly EV to CFO has run from a low of 2.00 in fiscal Q4 2023 to a high of 28.29 in fiscal Q2 2022 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 |
| Mar 31, 2026 | 3.32 |
| Dec 31, 2025 | 10.94 |
| Mar 31, 2024 | 12.75 |
| Dec 31, 2023 | 4.64 |
| Sep 30, 2023 | 2.00 |
| Jun 30, 2023 | 2.84 |
| Mar 31, 2023 | 9.19 |
| Dec 31, 2022 | 10.39 |
| Sep 30, 2022 | 2.70 |
| Jun 30, 2022 | 19.63 |
| Mar 31, 2022 | 28.29 |
| Sep 30, 2017 | 8.42 |
| Jun 30, 2017 | 7.89 |
| Mar 31, 2017 | 3.96 |
| Dec 31, 2016 | 2.91 |
| Sep 30, 2016 | 3.43 |
| Jun 30, 2016 | 4.52 |
| Mar 31, 2016 | 5.13 |
| Dec 31, 2015 | 7.89 |
Forestar EV to CFO 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-cfo&ticker=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();