Range Impact (RNGE) Operating Expenses (2010 - 2026)
Range Impact (RNGE) posted Operating Expenses of $2.71 million for Q1 2026, up 359.0% from $591,407 a year earlier but down 30.2% from the prior quarter.
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Analysis
Range Impact (RNGE) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Range Impact was $7.61 million, up 322.5% year-over-year; for FY2025, it was $5.45 million, up 153.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Range Impact's Operating Expenses was $2.15 million in FY2024 (-46.5%), $4.02 million in FY2023 (+61.3%), $2.49 million in FY2022 (+45.6%) and $1.71 million in FY2021.
- Quarterly Operating Expenses has run from a low of $36,996 in Q4 2024 to a high of $3.89 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last seven quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2026, with growth of 359.0%; the weakest was Q4 2024, with a decline of 97.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.89 million (Q4 2025), $378,825 (Q3 2025) and $624,771 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 54.24 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 15.90 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 29.22 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 104.06 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | -8.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | 230.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | 21.49 Mn |
| 10 | Range Impact | 86.12 Mn | 98.12 Mn | - | 2.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.71 Mn |
| Dec 31, 2025 | 3.89 Mn |
| Sep 30, 2025 | 378,825.00 |
| Jun 30, 2025 | 624,771.00 |
| Mar 31, 2025 | 591,407.00 |
| Dec 31, 2024 | 36,996.00 |
| Sep 30, 2024 | 473,942.00 |
| Jun 30, 2024 | 697,699.00 |
| Mar 31, 2024 | 943,901.00 |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 743,342.00 |
| Mar 31, 2023 | 832,225.00 |
| Sep 30, 2022 | 555,785.00 |
| Jun 30, 2022 | 488,149.00 |
| Mar 31, 2022 | 443,671.00 |
| Sep 30, 2021 | 504,361.00 |
| Jun 30, 2021 | 612,249.00 |
| Mar 31, 2021 | 657,307.00 |
| Dec 31, 2020 | 466,542.00 |
API Access
Range Impact Operating 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=operating-expenses&ticker=RNGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();