Forestar (FOR) Total Debt (2010 - 2026)
Forestar (FOR) posted Total Debt of $793.8 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.1% from $872.8 million a year earlier and unchanged from the prior quarter.
Forestar (FOR) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Forestar's Total Debt came in at $802.7 million, up 13.6% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior fiscal years, Forestar's Total Debt was $706.4 million in FY2024 (+1.6%), $695 million in FY2023 (-1.6%), $706 million in FY2022 (+0.2%) and $704.5 million in FY2021 (+9.9%).
- Quarterly Total Debt has run from a low of $695 million in fiscal Q4 2023 to a high of $872.8 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Total Debt has declined in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q2 2025, with growth of 23.6%; the weakest was fiscal Q2 2026, with a decline of 9.1%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $793.5 million (Q2 2026), $793.2 million (Q1 2026) and $802.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.81 Bn | 17.80 Bn | - | - |
| 2 | Howard Hughes Holdings | 4.58 Bn | -4.29 Bn | 435.75 Mn | 5.70 Bn |
| 3 | Millrose Properties | 4.31 Bn | 4.13 Bn | - | 3.13 Bn |
| 4 | St Joe | 3.98 Bn | 3.47 Bn | 80.65 Mn | - |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.19 Bn | 2.01 Bn | - | 1.07 Bn |
| 6 | LandBridge | 1.82 Bn | 1.69 Bn | 65.71 Mn | 535.72 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.45 Bn | 38.00 Mn | 2.42 Bn |
| 8 | Forestar | 1.21 Bn | -133.09 Mn | 84.10 Mn | 793.80 Mn |
| 9 | Tejon Ranch | 462.18 Mn | 394.06 Mn | - | 94.44 Mn |
| 10 | American Realty Investors | 361.16 Mn | 16.71 Mn | - | 218.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 793.80 Mn |
| Mar 31, 2026 | 793.50 Mn |
| Dec 31, 2025 | 793.20 Mn |
| Sep 30, 2025 | 802.70 Mn |
| Jun 30, 2025 | 872.80 Mn |
| Mar 31, 2025 | 872.50 Mn |
| Dec 31, 2024 | 806.80 Mn |
| Sep 30, 2024 | 706.40 Mn |
| Jun 30, 2024 | 706.10 Mn |
| Mar 31, 2024 | 705.70 Mn |
| Dec 31, 2023 | 705.30 Mn |
| Sep 30, 2023 | 695.00 Mn |
| Jun 30, 2023 | 707.20 Mn |
| Mar 31, 2023 | 706.80 Mn |
| Dec 31, 2022 | 706.40 Mn |
| Sep 30, 2022 | 706.00 Mn |
| Jun 30, 2022 | 705.60 Mn |
| Mar 31, 2022 | 705.30 Mn |
| Dec 31, 2021 | 704.90 Mn |
| Sep 30, 2021 | 704.50 Mn |
Forestar Total Debt 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=total-debt&ticker=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();