New Concept Energy (GBR) Buildings (2011 - 2025)
New Concept Energy's Buildings came in at $372,000 for Q4 2025, unchanged from $372,000 a year earlier.
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Analysis
New Concept Energy (GBR) Buildings (2011 - 2025) Analysis & Trends
Going back to Q4 2011, New Concept Energy's Buildings data covers 31 quarters.
- Buildings carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by year, Buildings was $372,000 in FY2024 (+5.7%), $352,000 in FY2023 (+3.2%), $341,000 in FY2022 (unchanged) and $341,000 in FY2021 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | 372,000.00 |
| Dec 31, 2024 | 372,000.00 |
| Dec 31, 2023 | 352,000.00 |
| Dec 31, 2022 | 341,000.00 |
| Dec 31, 2021 | 341,000.00 |
| Dec 31, 2020 | 341,000.00 |
| Dec 31, 2019 | 341,000.00 |
| Dec 31, 2018 | 272,000.00 |
| Dec 31, 2017 | 272,000.00 |
| Sep 30, 2017 | 675,000.00 |
| Jun 30, 2017 | 689,000.00 |
| Mar 31, 2017 | 703,000.00 |
| Dec 31, 2016 | 706,000.00 |
| Sep 30, 2016 | 722,000.00 |
| Jun 30, 2016 | 743,000.00 |
| Mar 31, 2016 | 777,000.00 |
| Dec 31, 2015 | 803,000.00 |
| Sep 30, 2015 | 820,000.00 |
| Jun 30, 2015 | 845,000.00 |
| Mar 31, 2015 | 1.45 Mn |
API Access
New Concept Energy Buildings 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=buildings&ticker=GBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();