Range Impact (RNGE) Selling, General & Administrative (2010 - 2026)
Range Impact (RNGE) recorded Selling, General & Administrative of $464,804 in Q1 2026, up 5.7% from $439,912 a year earlier but down 24.4% from the prior quarter.
Range Impact (RNGE) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Range Impact's Selling, General & Administrative came in at $2.08 million as of Mar 31, 2026, up 77.5% year-over-year; for FY2025, it came in at $2.18 million, up 29.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $1.68 million in FY2024 (-58.3%), $4.02 million in FY2023 (+98.8%), $2.02 million in FY2022 (+43.1%) and $1.41 million in FY2021.
- Quarterly Selling, General & Administrative has ranged from -$438,216 in Q4 2024 to $1.6 million in Q4 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last six quarters, with an average decline of 20.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 135.4% in Q3 2023, against a decline of 55.2% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $614,556 (Q4 2025), $378,825 (Q3 2025) and $624,771 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 8.00 Mn |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 15.90 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 | - | -8.80 Mn |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 135.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 14.29 Mn |
| 10 | Range Impact | 79.32 Mn | 91.33 Mn | - | 464,804.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 464,804.00 |
| Dec 31, 2025 | 614,556.00 |
| Sep 30, 2025 | 378,825.00 |
| Jun 30, 2025 | 624,771.00 |
| Mar 31, 2025 | 439,912.00 |
| Dec 31, 2024 | -438,216.00 |
| 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 | 635,898.00 |
| Mar 31, 2023 | 726,048.00 |
| Sep 30, 2022 | 449,041.00 |
| Jun 30, 2022 | 380,326.00 |
| Mar 31, 2022 | 317,941.00 |
| Sep 30, 2021 | 436,523.00 |
| Jun 30, 2021 | 514,437.00 |
| Mar 31, 2021 | 586,670.00 |
| Dec 31, 2020 | 394,567.00 |
Range Impact Selling, General & Administrative 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=selling-general-and-administrative&ticker=RNGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();