Range Impact (RNGE) Return on Sales [ROS] (2014 - 2026)
Range Impact (RNGE) recorded Return on Sales [ROS] of -196.55% in Q1 2026, down 111.54 percentage points from -85.01% a year earlier and down 191.15 percentage points from the prior quarter.
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Analysis
Range Impact (RNGE) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a TTM basis, Range Impact's Return on Sales [ROS] came in at -63.72% as of Mar 31, 2026, down 28.60 percentage points year-over-year; for FY2025, it came in at -46.89%, down 23.00 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of -24.12 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -23.89% in FY2024 (-35.33 pp), 11.44% in FY2023 (+34.21 pp) and -22.77% in FY2022.
- The Q1 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -46.88 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 93.84 percentage points in Q4 2025, against a drop of 111.54 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -5.41% (Q4 2025), -126.25% (Q3 2025) and -28.83% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 77.96% |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 66.07% |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | 85.16% |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | -325.18% |
| 10 | Range Impact | 79.32 Mn | 91.33 Mn | - | -196.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -196.55% |
| Dec 31, 2025 | -5.41% |
| Sep 30, 2025 | -126.25% |
| Jun 30, 2025 | -28.83% |
| Mar 31, 2025 | -85.01% |
| Dec 31, 2024 | -99.25% |
| Sep 30, 2024 | -35.98% |
| Jun 30, 2024 | -3.73% |
| Mar 31, 2024 | -18.11% |
| Dec 31, 2023 | 1.80% |
| Sep 30, 2023 | 30.42% |
| Jun 30, 2023 | 3.84% |
| Mar 31, 2023 | -6.08% |
| Dec 31, 2022 | -1.34% |
| Sep 30, 2022 | -12.80% |
| Jun 30, 2022 | -66.19% |
| Mar 31, 2019 | -1,409.01% |
| Dec 31, 2018 | -995.18% |
| Sep 30, 2018 | -3,131.39% |
| Jun 30, 2018 | -4,034.23% |
API Access
Range Impact Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RNGE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RNGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();