Forestar (FOR) Cost of Revenue (2010 - 2026)
Forestar (FOR) reported Cost of Revenue of $322.9 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.9% from $310.8 million a year earlier and up 9.8% from the prior quarter.
Forestar (FOR) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Forestar's Cost of Revenue came in at $1.36 billion, up 13.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.3 billion, up 12.9% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $1.15 billion in FY2024 (+1.5%), $1.13 billion in FY2023 (-5.2%), $1.2 billion in FY2022 (+9.0%) and $1.1 billion in FY2021 (+34.8%).
- Five-year quarterly Cost of Revenue spans a low of $169.2 million in fiscal Q1 2023 and a high of $520.9 million in fiscal Q4 2025.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 7.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q4 2023 (growth of 48.6%); the low point was fiscal Q1 2023 (a decline of 49.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $294.1 million (Q2 2026), $218 million (Q1 2026) and $520.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 1.13 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 85.41 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | - |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 797.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 322.90 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 37.62 Mn |
| 10 | Tejon Ranch | 442.61 Mn | 377.59 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.90 Mn |
| Mar 31, 2026 | 294.10 Mn |
| Dec 31, 2025 | 218.00 Mn |
| Sep 30, 2025 | 520.90 Mn |
| Jun 30, 2025 | 310.80 Mn |
| Mar 31, 2025 | 271.80 Mn |
| Dec 31, 2024 | 195.40 Mn |
| Sep 30, 2024 | 419.50 Mn |
| Jun 30, 2024 | 246.90 Mn |
| Mar 31, 2024 | 250.70 Mn |
| Dec 31, 2023 | 233.00 Mn |
| Sep 30, 2023 | 434.10 Mn |
| Jun 30, 2023 | 283.90 Mn |
| Mar 31, 2023 | 245.60 Mn |
| Dec 31, 2022 | 169.20 Mn |
| Sep 30, 2022 | 292.20 Mn |
| Jun 30, 2022 | 234.60 Mn |
| Mar 31, 2022 | 334.10 Mn |
| Dec 31, 2021 | 334.20 Mn |
| Sep 30, 2021 | 342.80 Mn |
Forestar Cost of Revenue 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=cost-of-revenue&ticker=FOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();