Forestar (FOR) Accumulated Expenses (2018 - 2026)
Forestar's Accumulated Expenses was $89.5 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 7.7% from $83.1 million a year earlier and up 1.0% from the prior quarter.
Powered by 
Analysis
Forestar (FOR) Accumulated Expenses (2018 - 2026) Analysis & Trends
From fiscal Q4 2018 onward, Forestar has reported Accumulated Expenses for 32 quarters.
- Accumulated Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $83.1 million in FY2025 (+21.7%), $68.3 million in FY2024 (+11.6%), $61.2 million in FY2023 (-12.7%) and $70.1 million in FY2022 (+23.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q3 2021.
- Compared with a year earlier, Accumulated Expenses has increased for six straight quarters, with growth averaging 23.0% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2026 (growth of 78.2%); the worst was fiscal Q3 2022 (a decline of 51.2%).
- Per Business Quant data, FOR's Accumulated Expenses in the three fiscal quarters before Q4 2026 was $88.6 million (Q3 2026), $79.1 million (Q2 2026) and $87.3 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.50 Mn |
| Jun 30, 2026 | 88.60 Mn |
| Mar 31, 2026 | 79.10 Mn |
| Dec 31, 2025 | 87.30 Mn |
| Sep 30, 2025 | 83.10 Mn |
| Jun 30, 2025 | 63.50 Mn |
| Mar 31, 2025 | 44.40 Mn |
| Dec 31, 2024 | 56.40 Mn |
| Sep 30, 2024 | 68.30 Mn |
| Jun 30, 2024 | 56.00 Mn |
| Mar 31, 2024 | 55.80 Mn |
| Dec 31, 2023 | 63.40 Mn |
| Sep 30, 2023 | 61.20 Mn |
| Jun 30, 2023 | 54.10 Mn |
| Mar 31, 2023 | 48.10 Mn |
| Dec 31, 2022 | 60.60 Mn |
| Sep 30, 2022 | 70.10 Mn |
| Jun 30, 2022 | 67.50 Mn |
| Mar 31, 2022 | 77.80 Mn |
| Dec 31, 2021 | 62.90 Mn |
API Access
Forestar Accumulated 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=accumulated-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();