Conocophillips (COP) Return on Sales [ROS] (2009 - 2026)
Conocophillips' Return on Sales [ROS] came in at 53.17% for Q2 2026, up 5.11 percentage points from 48.05% a year earlier and up 6.48 percentage points from the prior quarter.
Conocophillips (COP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Conocophillips reported Return on Sales [ROS] of 47.91%, down 1.01 percentage points year-over-year; for FY2025, it was 46.94%, down 2.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +11.45 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 49.50% in FY2024 (+0.15 pp), 49.35% in FY2023 (-0.77 pp), 50.12% in FY2022 (-0.54 pp) and 50.67% in FY2021 (+15.18 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2022.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.05 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 15.95 percentage points), and the weakest in Q1 2023 (a drop of 7.83 percentage points).
- Business Quant data shows COP's Return on Sales [ROS] at 46.69% (Q1 2026), 44.90% (Q4 2025) and 45.31% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 16.94% |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 28.46% |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | -28.44% |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | - |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | 5.19% |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 53.17% |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | 36.94% |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | -74.35% |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 41.56% |
| 10 | Suncor Energy | 82.47 Bn | 68.27 Bn | - | 30.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.17% |
| Mar 31, 2026 | 46.69% |
| Dec 31, 2025 | 44.90% |
| Sep 30, 2025 | 45.31% |
| Jun 30, 2025 | 48.05% |
| Mar 31, 2025 | 49.16% |
| Dec 31, 2024 | 49.89% |
| Sep 30, 2024 | 48.49% |
| Jun 30, 2024 | 50.33% |
| Mar 31, 2024 | 49.23% |
| Dec 31, 2023 | 49.62% |
| Sep 30, 2023 | 49.29% |
| Jun 30, 2023 | 49.53% |
| Mar 31, 2023 | 48.98% |
| Dec 31, 2022 | 44.87% |
| Sep 30, 2022 | 48.88% |
| Jun 30, 2022 | 50.09% |
| Mar 31, 2022 | 56.81% |
| Dec 31, 2021 | 49.63% |
| Sep 30, 2021 | 52.07% |
Conocophillips 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=COP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "COP", "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=COP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();