Forestar (FOR) Change in Inventory (2017 - 2026)
Forestar (FOR) recorded Change in Inventory of $2.2 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 96.7% from $65.8 million a year earlier.
Forestar (FOR) Change in Inventory (2017 - 2026) Analysis & Trends
On a TTM basis, Forestar's Change in Inventory came in at -$106.9 million as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at $384.8 million, down 18.1% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Inventory came in at $469.9 million in FY2024, -$206.3 million in FY2023, $142.3 million in FY2022 (-75.7%) and $585.9 million in FY2021 (+108.0%).
- Quarterly Change in Inventory has ranged from -$176.2 million in fiscal Q4 2025 to $471.6 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in 1 of the last five quarters, with an average decline of 30.5%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 320.4% in fiscal Q1 2024, against a decline of 96.7% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$139.1 million (Q2 2026), $206.2 million (Q1 2026) and -$176.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.78 Bn | 22.61 Bn | - | - |
| 2 | St Joe | 3.90 Bn | 3.39 Bn | 73.42 Mn | 15.54 Mn |
| 3 | Millrose Properties | 3.85 Bn | 3.49 Bn | - | - |
| 4 | Opendoor Technologies | 1.88 Bn | -1.94 Bn | 86.00 Mn | - |
| 5 | Forestar | 1.29 Bn | -57.45 Mn | 84.10 Mn | 2.20 Mn |
| 6 | Five Point Holdings | 644.08 Mn | -813.54 Mn | -23.72 Mn | 47.42 Mn |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | - |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | - |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Mn |
| Mar 31, 2026 | -139.10 Mn |
| Dec 31, 2025 | 206.20 Mn |
| Sep 30, 2025 | -176.20 Mn |
| Jun 30, 2025 | 65.80 Mn |
| Mar 31, 2025 | 23.60 Mn |
| Dec 31, 2024 | 471.60 Mn |
| Sep 30, 2024 | 30.50 Mn |
| Jun 30, 2024 | 123.30 Mn |
| Mar 31, 2024 | 106.30 Mn |
| Dec 31, 2023 | 209.80 Mn |
| Sep 30, 2023 | -118.60 Mn |
| Jun 30, 2023 | -78.10 Mn |
| Mar 31, 2023 | -59.50 Mn |
| Dec 31, 2022 | 49.90 Mn |
| Sep 30, 2022 | -28.00 Mn |
| Jun 30, 2022 | 109.20 Mn |
| Mar 31, 2022 | 5.60 Mn |
| Dec 31, 2021 | 55.50 Mn |
| Sep 30, 2021 | 45.20 Mn |
Forestar Change in Inventory 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-inventory&ticker=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();