Range Impact (RNGE) Price to Earnings (2023 - 2026)
Range Impact's (RNGE) Price to Earnings stood at 1.30 in Q1 2026, up 47.6% from the prior quarter.
Analysis
Range Impact (RNGE) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Range Impact's Price to Earnings came in at 0.88.
- Across earlier years, Price to Earnings came in at 7.17 in FY2023.
- Quarterly Price to Earnings has ranged from 0.88 in Q4 2025 to 43.95 in Q2 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 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 |
| 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 |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn |
| 10 | Range Impact | 79.32 Mn | 91.33 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.30 |
| Dec 31, 2025 | 0.88 |
| Sep 30, 2025 | 28.77 |
| Jun 30, 2024 | 43.95 |
| Mar 31, 2024 | 17.90 |
| Dec 31, 2023 | 7.17 |
| Sep 30, 2023 | 4.44 |
API Access
Range Impact Price to Earnings 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=price-to-earnings&ticker=RNGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();