Forestar (FOR) Operating Expenses (2010 - 2026)
Forestar's Operating Expenses was $38.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.4% from $37.4 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Forestar (FOR) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Forestar's Operating Expenses was $155.3 million through Jun 30, 2026, up 8.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $154.4 million, up 30.3% from FY2024.
- Operating Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $118.5 million in FY2024 (+21.3%), $97.7 million in FY2023 (+4.4%), $93.6 million in FY2022 (+36.8%) and $68.4 million in FY2021 (+49.7%).
- Quarterly Operating Expenses has moved between $19.7 million (fiscal Q4 2021) and $42.6 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 18.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 52.7%); the worst was fiscal Q2 2023 (a decline of 9.5%).
- Per Business Quant data, FOR's Operating Expenses in the three fiscal quarters before Q3 2026 was $37.9 million (Q2 2026), $36.5 million (Q1 2026) and $42.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - | 13.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.30 Mn |
| Mar 31, 2026 | 37.90 Mn |
| Dec 31, 2025 | 36.50 Mn |
| Sep 30, 2025 | 42.60 Mn |
| Jun 30, 2025 | 37.40 Mn |
| Mar 31, 2025 | 38.40 Mn |
| Dec 31, 2024 | 36.00 Mn |
| Sep 30, 2024 | 32.00 Mn |
| Jun 30, 2024 | 29.30 Mn |
| Mar 31, 2024 | 29.20 Mn |
| Dec 31, 2023 | 28.00 Mn |
| Sep 30, 2023 | 26.40 Mn |
| Jun 30, 2023 | 26.40 Mn |
| Mar 31, 2023 | 22.00 Mn |
| Dec 31, 2022 | 22.90 Mn |
| Sep 30, 2022 | 23.70 Mn |
| Jun 30, 2022 | 24.10 Mn |
| Mar 31, 2022 | 24.30 Mn |
| Dec 31, 2021 | 21.50 Mn |
| Sep 30, 2021 | 19.70 Mn |
API Access
Forestar Operating Expenses 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=operating-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();