TotalEnergies SE (TTE) Return on Sales [ROS] (2009 - 2026)
TotalEnergies SE (TTE) reported Return on Sales [ROS] of 20.66% for the quarter ended Mar 31, 2026, up 2.78 percentage points from 17.88% a year earlier and up 3.61 percentage points from the prior quarter.
TotalEnergies SE (TTE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, TotalEnergies SE's Return on Sales [ROS] came in at 25.71%, down 1.54 percentage points year-over-year; for the year ended Dec 31, 2025, it was 8.55%, down 1.97 percentage points from the prior year.
- Return on Sales [ROS] has a five-year change of +16.68 percentage points (years ended Dec 2020 to Dec 2025).
- By year, Return on Sales [ROS] came in at 10.52% in the year ended Dec 31, 2024 (-2.55 pp), 13.06% in the year ended Dec 31, 2023 (+18.72 pp), -5.65% in the year ended Dec 31, 2022 (-0.10 pp) and -5.55% in the year ended Dec 31, 2021 (+2.57 pp).
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Return on Sales [ROS] since the quarter ended Dec 31, 2024.
- Year over year, Return on Sales [ROS] gained in two of the last four quarters, with an average year-over-year change of -4936099.43 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was the quarter ended Dec 31, 2022 (a gain of 25486260.32 percentage points); the low point was the quarter ended Dec 31, 2025 (a drop of 20052163.33 percentage points).
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 | Suncor Energy | 86.21 Bn | 72.00 Bn | - | 3.43% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.82% |
| Mar 31, 2026 | 109.64% |
| Dec 31, 2025 | 10,261,972.76% |
| Sep 30, 2025 | 9,108,503.62% |
| Jun 30, 2025 | 25.26% |
| Mar 31, 2025 | 110.21% |
| Dec 31, 2024 | 10,632,707.71% |
| Sep 30, 2024 | 11,360,836.19% |
| Jun 30, 2024 | 25.68% |
| Mar 31, 2024 | 109.25% |
| Dec 31, 2023 | 11,538,433.90% |
| Sep 30, 2023 | 10,756,265.72% |
| Jun 30, 2023 | 25.66% |
| Mar 31, 2023 | 49.76% |
| Dec 31, 2022 | 25,486,279.20% |
| Sep 30, 2022 | 6.11% |
| Jun 30, 2022 | 46.78% |
| Mar 31, 2022 | 105.52% |
| Dec 31, 2021 | 18.88% |
| Sep 30, 2021 | 46.43% |
TotalEnergies SE 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=TTE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TTE", "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=TTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();