Range Impact (RNGE) Non Operating Interest Expenses (2010 - 2026)
Range Impact's Non Operating Interest Expenses was $34,485 in Q1 2026, down 62.0% from $90,868 a year earlier and down 3.8% from the prior quarter.
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Analysis
Range Impact (RNGE) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Range Impact's Non Operating Interest Expenses was $195,896 through Mar 31, 2026, up 14.2% year-over-year; for FY2025, it came in at $252,279, down 1.4% from FY2024.
- Non Operating Interest Expenses shows a three-year compound annual growth rate of 45.9% (FY2022 to FY2025).
- In earlier years, Non Operating Interest Expenses was $255,972 in FY2024 (-49.4%), $505,917 in FY2023 (+523.2%) and $81,178 in FY2022.
- The Q1 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q4 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last six quarters, with an average decline of 10.5%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2023 (growth of 913.3%); the worst was Q3 2025 (a decline of 75.4%).
- Per Business Quant data, RNGE's Non Operating Interest Expenses in the three quarters before Q1 2026 was $35,848 (Q4 2025), $38,245 (Q3 2025) and $87,318 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 973,000.00 |
| 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 | - | 40.01 Mn |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 6.88 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | -17.50 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 29.00 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 | Range Impact | 78.19 Mn | 90.19 Mn | - | 34,485.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 34,485.00 |
| Dec 31, 2025 | 35,848.00 |
| Sep 30, 2025 | 38,245.00 |
| Jun 30, 2025 | 87,318.00 |
| Mar 31, 2025 | 90,868.00 |
| Dec 31, 2024 | -240,350.00 |
| Sep 30, 2024 | 155,404.00 |
| Jun 30, 2024 | 165,660.00 |
| Mar 31, 2024 | 175,258.00 |
| Dec 31, 2023 | 261,816.00 |
| Sep 30, 2023 | 135,467.00 |
| Jun 30, 2023 | 64,997.00 |
| Mar 31, 2023 | 43,637.00 |
| Sep 30, 2022 | 31,049.00 |
| Jun 30, 2022 | 19,989.00 |
| Mar 31, 2022 | 4,303.00 |
| Mar 31, 2019 | 902.00 |
| Dec 31, 2018 | 5,880.00 |
| Jun 30, 2016 | 621.00 |
| Dec 31, 2015 | 147.00 |
API Access
Range Impact Non Operating Interest Expenses 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-operating-interest-expenses&ticker=RNGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();