New Concept Energy (GBR) Land & Improvements (2017 - 2025)
New Concept Energy's Land & Improvements was $432,000 in Q4 2025, unchanged from $432,000 a year earlier.
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Analysis
New Concept Energy (GBR) Land & Improvements (2017 - 2025) Analysis & Trends
From Q4 2017 onward, New Concept Energy has reported Land & Improvements for 9 quarters.
- Land & Improvements shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Land & Improvements was $432,000 in FY2024 (unchanged), $432,000 in FY2023 (unchanged), $432,000 in FY2022 (unchanged) and $432,000 in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | New Concept Energy | 3,849.00 | -1.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 432,000.00 |
| Dec 31, 2024 | 432,000.00 |
| Dec 31, 2023 | 432,000.00 |
| Dec 31, 2022 | 432,000.00 |
| Dec 31, 2021 | 432,000.00 |
| Dec 31, 2020 | 432,000.00 |
| Dec 31, 2019 | 432,000.00 |
| Dec 31, 2018 | 432,000.00 |
| Dec 31, 2017 | 432,000.00 |
API Access
New Concept Energy Land & Improvements 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=land-and-improvements&ticker=GBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=GBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();