Range Impact (RNGE) Capital Expenditures (2012 - 2025)
Range Impact (RNGE) recorded Capital Expenditures of $100,000 in FY2025.
Analysis
Range Impact (RNGE) Capital Expenditures (2012 - 2025) Analysis & Trends
Starting with FY2012, Range Impact's Capital Expenditures history includes 4 years.
- Annual Capital Expenditures has a three-year compound annual growth rate of -74.2% (FY2022 to FY2025).
- The FY2025 figure is the lowest annual Capital Expenditures since FY2012.
- Per Business Quant data, RNGE's Capital Expenditures was $1.12 million in FY2023 (-80.8%) and $5.81 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 21.85 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 1.13 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 977,000.00 |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -800,000.00 |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 5.00 Mn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 176,000.00 |
| 10 | Range Impact | 87.25 Mn | 99.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 100,000.00 |
| Dec 31, 2023 | -15,753.00 |
| Sep 30, 2023 | 349,902.00 |
| Jun 30, 2023 | 38,289.00 |
| Mar 31, 2023 | 746,226.00 |
| Dec 31, 2022 | 4.57 Mn |
| Sep 30, 2022 | 135,496.00 |
| Jun 30, 2012 | -16,997.00 |
API Access
Range Impact Capital Expenditures 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=capital-expenditures&ticker=RNGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "RNGE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();