Forestar (FOR) Accumulated Expenses (2018 - 2026)
Forestar's Accumulated Expenses was $88.6 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 39.5% from $63.5 million a year earlier and up 12.0% from the prior quarter.
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Analysis
Forestar (FOR) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Accumulated Expenses at Forestar came in at $83.1 million, up 21.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $68.3 million in FY2024 (+11.6%), $61.2 million in FY2023 (-12.7%), $70.1 million in FY2022 (+23.6%) and $56.7 million in FY2021 (+14.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q3 2021.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 23.5% 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 Q3 2026 was $79.1 million (Q2 2026), $87.3 million (Q1 2026) and $83.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 438.56 Mn | 373.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 56.70 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();