Forestar (FOR) EBITDA (2010 - 2026)
Forestar (FOR) recorded EBITDA of $46.5 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.9% from $43.1 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Forestar (FOR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Forestar's EBITDA came in at $216.8 million as of Jun 30, 2026, up 5.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $212.6 million, down 12.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $243.8 million in FY2024 (+16.4%), $209.4 million in FY2023 (-10.2%), $233.1 million in FY2022 (+42.6%) and $163.5 million in FY2021 (+111.5%).
- Quarterly EBITDA has ranged from $19.4 million in fiscal Q1 2026 to $107.9 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with an average decline of 6.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 80.6% in fiscal Q1 2024, against a decline of 56.7% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $43 million (Q2 2026), $19.4 million (Q1 2026) and $107.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 208.46 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 48.53 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 66.16 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 72.10 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -136.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -43.27 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - | 1.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.50 Mn |
| Mar 31, 2026 | 43.00 Mn |
| Dec 31, 2025 | 19.40 Mn |
| Sep 30, 2025 | 107.90 Mn |
| Jun 30, 2025 | 43.10 Mn |
| Mar 31, 2025 | 41.80 Mn |
| Dec 31, 2024 | 19.80 Mn |
| Sep 30, 2024 | 100.60 Mn |
| Jun 30, 2024 | 43.10 Mn |
| Mar 31, 2024 | 54.50 Mn |
| Dec 31, 2023 | 45.70 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Jun 30, 2023 | 59.40 Mn |
| Mar 31, 2023 | 34.70 Mn |
| Dec 31, 2022 | 25.30 Mn |
| Sep 30, 2022 | 66.20 Mn |
| Jun 30, 2022 | 50.50 Mn |
| Mar 31, 2022 | 63.70 Mn |
| Dec 31, 2021 | 52.70 Mn |
| Sep 30, 2021 | 56.80 Mn |
API Access
Forestar EBITDA 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=ebitda&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();