Forestar (FOR) Change in Accrued Expenses (2009 - 2026)
Forestar's Change in Accrued Expenses came in at $5.4 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 67.1% from $16.4 million a year earlier.
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Analysis
Forestar (FOR) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Forestar reported Change in Accrued Expenses of -$3.3 million; for FY2025 (ended Sep 30, 2025), it was -$14.4 million.
- Going back by fiscal year, Change in Accrued Expenses was $40.5 million in FY2024, -$18.2 million in FY2023, $40.9 million in FY2022 (-31.9%) and $60.1 million in FY2021 (+300.7%).
- The five-year range for quarterly Change in Accrued Expenses is -$30.4 million (fiscal Q2 2026) to $32.1 million (fiscal Q4 2024).
- Year-over-year, Change in Accrued Expenses increased in 1 of the last four quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in fiscal Q4 2024 (growth of 146.9%), and the weakest in fiscal Q3 2022 (a decline of 95.5%).
- Business Quant data shows FOR's Change in Accrued Expenses at -$30.4 million (Q2 2026), $12.5 million (Q1 2026) and $9.2 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | - |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 13.50 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | - |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 2.08 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | -900,000.00 |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 808,000.00 |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | -15.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | 9.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.40 Mn |
| Mar 31, 2026 | -30.40 Mn |
| Dec 31, 2025 | 12.50 Mn |
| Sep 30, 2025 | 9.20 Mn |
| Jun 30, 2025 | 16.40 Mn |
| Mar 31, 2025 | -20.80 Mn |
| Dec 31, 2024 | -19.20 Mn |
| Sep 30, 2024 | 32.10 Mn |
| Jun 30, 2024 | 20.50 Mn |
| Mar 31, 2024 | -7.90 Mn |
| Dec 31, 2023 | -4.20 Mn |
| Sep 30, 2023 | 13.00 Mn |
| Jun 30, 2023 | -4.70 Mn |
| Mar 31, 2023 | -2.20 Mn |
| Dec 31, 2022 | -24.30 Mn |
| Sep 30, 2022 | 11.10 Mn |
| Jun 30, 2022 | 400,000.00 |
| Mar 31, 2022 | 17.20 Mn |
| Dec 31, 2021 | 12.20 Mn |
| Sep 30, 2021 | 25.60 Mn |
API Access
Forestar Change in Accrued 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=change-in-accured-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();