Conocophillips (COP) Return on Sales [ROS] (2009 - 2026)
Conocophillips' Return on Sales [ROS] came in at 50.83% for Q3 2026, up 5.52 percentage points from 45.31% a year earlier but down 2.34 percentage points from the prior quarter.
Conocophillips (COP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Conocophillips reported Return on Sales [ROS] of 49.32%, up 1.21 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 five-year range for quarterly Return on Sales [ROS] is 44.87% (Q4 2022) to 56.81% (Q1 2022).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.26 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 12.36 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 53.17% (Q2 2026), 46.69% (Q1 2026) and 44.90% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 18.93% |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 977.98% |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 20.54% |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 39.66% |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 7.15% |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 50.83% |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 36.02% |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 78.41% |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 14.27% |
| 10 | Suncor Energy | 83.45 Bn | 69.02 Bn | - | 46.69% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.83% |
| 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% |
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();