Ranger Energy Services (RNGR) Return on Sales [ROS] (2016 - 2026)
Ranger Energy Services (RNGR) posted Return on Sales [ROS] of 6.69% for Q2 2026, up 0.57 percentage points from 6.12% a year earlier and up 3.48 percentage points from the prior quarter.
Ranger Energy Services (RNGR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ranger Energy Services was 3.74%, down 1.75 percentage points year-over-year; for FY2025, it came in at 2.82%, down 2.19 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +11.97 percentage points (FY2020 to FY2025).
- In prior years, Ranger Energy Services' Return on Sales [ROS] was 5.01% in FY2024 (-0.79 pp), 5.80% in FY2023 (+2.56 pp), 3.24% in FY2022 (+17.06 pp) and -13.82% in FY2021 (-4.66 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2024.
- 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 -0.11 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 20.08 percentage points; the weakest was Q3 2025, with a drop of 6.41 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 3.21% (Q1 2026), 2.25% (Q4 2025) and 2.02% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 12.74% |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | -57.68% |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 13.62% |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 9.04% |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 4.23% |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 15.73% |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 9.68% |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 31.76% |
| 10 | Ranger Energy Services | 371.06 Mn | 304.46 Mn | 33.80 Mn | 6.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.69% |
| Mar 31, 2026 | 3.21% |
| Dec 31, 2025 | 2.25% |
| Sep 30, 2025 | 2.02% |
| Jun 30, 2025 | 6.12% |
| Mar 31, 2025 | 0.74% |
| Dec 31, 2024 | 6.22% |
| Sep 30, 2024 | 8.43% |
| Jun 30, 2024 | 5.29% |
| Mar 31, 2024 | -0.37% |
| Dec 31, 2023 | 3.04% |
| Sep 30, 2023 | 7.12% |
| Jun 30, 2023 | 6.99% |
| Mar 31, 2023 | 5.84% |
| Dec 31, 2022 | 5.90% |
| Sep 30, 2022 | 10.17% |
| Jun 30, 2022 | -1.43% |
| Mar 31, 2022 | -4.21% |
| Dec 31, 2021 | -13.48% |
| Sep 30, 2021 | -9.91% |
Ranger Energy Services 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=RNGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RNGR", "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=RNGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();