Imperial Oil (IMO) Return on Sales [ROS] (2009 - 2026)
Imperial Oil (IMO) posted Return on Sales [ROS] of 17.89% for Q2 2026, up 6.80 percentage points from 11.09% a year earlier and up 7.91 percentage points from the prior quarter.
Imperial Oil (IMO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Imperial Oil was 10.53%, down 1.80 percentage points year-over-year; for FY2025, it was 9.08%, down 3.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, though with a five-year change of +19.55 percentage points (FY2020 to FY2025).
- In prior years, Imperial Oil's Return on Sales [ROS] was 12.19% in FY2024 (-0.44 pp), 12.63% in FY2023 (-3.36 pp), 15.99% in FY2022 (+7.12 pp) and 8.88% in FY2021 (+19.35 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.67 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 33.15 percentage points; the weakest was Q2 2023, with a drop of 10.74 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 9.99% (Q1 2026), 5.61% (Q4 2025) and 5.88% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 694.97 Bn | 658.18 Bn | - | 16.94% |
| 2 | Shell | 570.13 Bn | 500.87 Bn | 92.16 Bn | 88.17% |
| 3 | Chevron | 418.82 Bn | 396.62 Bn | 33.45 Bn | -28.44% |
| 4 | TotalEnergies SE | 189.94 Bn | 73.07 Bn | 61.77 Bn | 24.82% |
| 5 | Eni Spa | 176.22 Bn | 126.56 Bn | - | 5.19% |
| 6 | Conocophillips | 161.10 Bn | 133.81 Bn | 12.81 Bn | 53.17% |
| 7 | Phillips 66 | 110.98 Bn | 99.96 Bn | 8.38 Bn | -74.35% |
| 8 | Equinor Asa | 107.54 Bn | 22.06 Bn | - | 36.94% |
| 9 | Canadian Natural Resources | 103.35 Bn | 100.30 Bn | 15.40 Bn | 88.80% |
| 10 | Imperial Oil | 59.57 Bn | 54.60 Bn | - | 17.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.89% |
| Mar 31, 2026 | 9.99% |
| Dec 31, 2025 | 5.61% |
| Sep 30, 2025 | 5.88% |
| Jun 30, 2025 | 11.09% |
| Mar 31, 2025 | 13.47% |
| Dec 31, 2024 | 12.52% |
| Sep 30, 2024 | 12.17% |
| Jun 30, 2024 | 11.23% |
| Mar 31, 2024 | 12.90% |
| Dec 31, 2023 | 13.41% |
| Sep 30, 2023 | 15.22% |
| Jun 30, 2023 | 7.61% |
| Mar 31, 2023 | 13.70% |
| Dec 31, 2022 | 15.95% |
| Sep 30, 2022 | 16.56% |
| Jun 30, 2022 | 18.36% |
| Mar 31, 2022 | 12.15% |
| Dec 31, 2021 | 9.20% |
| Sep 30, 2021 | 11.67% |
Imperial Oil 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=IMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IMO", "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=IMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();