Range Impact (RNGE) Non-Current Debt (2020 - 2026)
Range Impact (RNGE) reported Non-Current Debt of $1.47 million for FY2015, down 19.4% from $1.82 million in FY2014.
Analysis
Range Impact (RNGE) Non-Current Debt (2020 - 2026) Analysis & Trends
- According to Business Quant data, Non-Current Debt came in at $1.82 million in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 535.53 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 1.18 Bn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 1.07 Bn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | - |
| 10 | Range Impact | 86.12 Mn | 98.12 Mn | - | 1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | 4.20 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 5.25 Mn |
| Sep 30, 2023 | 5.89 Mn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 3.74 Mn |
| Sep 30, 2022 | 769,735.00 |
| Jun 30, 2022 | 865,674.00 |
| Sep 30, 2020 | 42,788.00 |
| Jun 30, 2020 | 59,588.00 |
API Access
Range Impact Non-Current Debt 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=non-current-debt&ticker=RNGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();