Forestar (FOR) Operating Expenses (2010 - 2026)
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Analysis
Forestar (FOR) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | 65.61 Mn |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | 535.45 Mn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | 30.55 Mn |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | 94.64 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | 9.30 Mn |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | 15.90 Mn |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | 225.00 Mn |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | 20.24 Mn |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | 9.62 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();