Range Resources (RRC) Return on Sales [ROS] (2013 - 2026)
Range Resources (RRC) posted Return on Sales [ROS] of 20.86% for Q3 2026, up 2.90 percentage points from 17.96% a year earlier but down 1.85 percentage points from the prior quarter.
Range Resources (RRC) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Range Resources was 27.12%, up 6.63 percentage points year-over-year; for FY2025, it came in at 20.74%, up 16.19 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +67.76 percentage points (FY2020 to FY2025).
- In prior years, Range Resources' Return on Sales [ROS] was 4.55% in FY2024 (-22.04 pp), 26.59% in FY2023 (-14.12 pp), 40.71% in FY2022 (+21.58 pp) and 19.13% in FY2021 (+66.15 pp).
- Quarterly Return on Sales [ROS] has run from a low of -4.54% in Q2 2024 to a high of 48.66% in Q3 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +6.99 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 43.47 percentage points; the weakest was Q2 2023, with a drop of 46.80 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 22.71% (Q2 2026), 38.25% (Q1 2026) and 23.54% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 686.62 Bn | 644.76 Bn | - | 18.93% |
| 2 | Chevron | 416.14 Bn | 383.18 Bn | 31.26 Bn | 20.54% |
| 3 | Shell | 291.71 Bn | 151.98 Bn | - | 977.98% |
| 4 | TotalEnergies SE | 192.78 Bn | 63.86 Bn | 31,614.00 | -7,653,464.41% |
| 5 | Eni Spa | 167.56 Bn | 107.19 Bn | - | 7.15% |
| 6 | Conocophillips | 165.53 Bn | 138.24 Bn | 12.81 Bn | 53.17% |
| 7 | Equinor Asa | 108.87 Bn | 21.72 Bn | 4.49 Bn | 36.02% |
| 8 | Canadian Natural Resources | 101.39 Bn | 95.29 Bn | 9.35 Bn | 78.41% |
| 9 | Phillips 66 | 97.45 Bn | 81.24 Bn | 10.69 Bn | 14.27% |
| 10 | Range Resources | 11.37 Bn | 11.37 Bn | 794.62 Mn | 20.86% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.86% |
| Jun 30, 2026 | 22.71% |
| Mar 31, 2026 | 38.25% |
| Dec 31, 2025 | 23.54% |
| Sep 30, 2025 | 17.96% |
| Jun 30, 2025 | 31.19% |
| Mar 31, 2025 | 24.49% |
| Dec 31, 2024 | 3.47% |
| Sep 30, 2024 | 5.47% |
| Jun 30, 2024 | -4.54% |
| Mar 31, 2024 | 12.20% |
| Dec 31, 2023 | 36.33% |
| Sep 30, 2023 | 3.10% |
| Jun 30, 2023 | 0.02% |
| Mar 31, 2023 | 45.20% |
| Dec 31, 2022 | 38.06% |
| Sep 30, 2022 | 48.66% |
| Jun 30, 2022 | 46.82% |
| Mar 31, 2022 | 24.38% |
| Dec 31, 2021 | 38.19% |
Range Resources 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=RRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RRC", "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=RRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();