Phillips 66 (PSX) Return on Sales [ROS] (2011 - 2026)
Phillips 66 (PSX) reported Return on Sales [ROS] of -74.35% for Q2 2026, up 9.05 percentage points from -83.40% a year earlier and up 13.39 percentage points from the prior quarter.
Phillips 66 (PSX) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Phillips 66's Return on Sales [ROS] came in at -78.89%, up 7.90 percentage points year-over-year; for FY2025, it was -81.04%, up 6.44 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +14.65 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -87.48% in FY2024 (-8.35 pp), -79.14% in FY2023 (-2.13 pp), -77.00% in FY2022 (+10.38 pp) and -87.38% in FY2021 (+8.31 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -90.53% in Q4 2024 and a high of -64.57% in Q3 2022.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +1.78 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 21.48 percentage points); the low point was Q3 2023 (a drop of 13.59 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -87.74% (Q1 2026), -70.69% (Q4 2025) and -85.82% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 746.42 Bn | 702.90 Bn | - | 16.94% |
| 2 | Chevron | 442.96 Bn | 415.08 Bn | 33.45 Bn | -28.44% |
| 3 | Shell | 313.69 Bn | 243.43 Bn | 30.13 Bn | 22.64% |
| 4 | TotalEnergies SE | 200.00 Bn | 80.58 Bn | 61.77 Bn | 24.82% |
| 5 | Conocophillips | 177.72 Bn | 150.43 Bn | 12.81 Bn | 53.17% |
| 6 | Equinor Asa | 121.70 Bn | 36.16 Bn | - | 36.94% |
| 7 | Phillips 66 | 117.59 Bn | 105.38 Bn | 8.38 Bn | -74.35% |
| 8 | Canadian Natural Resources | 112.49 Bn | 109.50 Bn | 8.84 Bn | 81.91% |
| 9 | Suncor Energy | 94.96 Bn | 80.71 Bn | - | 3.43% |
| 10 | Eni Spa | 89.38 Bn | 33.94 Bn | - | 5.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.35% |
| Mar 31, 2026 | -87.74% |
| Dec 31, 2025 | -70.69% |
| Sep 30, 2025 | -85.82% |
| Jun 30, 2025 | -83.40% |
| Mar 31, 2025 | -85.14% |
| Dec 31, 2024 | -90.53% |
| Sep 30, 2024 | -87.88% |
| Jun 30, 2024 | -85.62% |
| Mar 31, 2024 | -86.24% |
| Dec 31, 2023 | -82.82% |
| Sep 30, 2023 | -78.16% |
| Jun 30, 2023 | -79.26% |
| Mar 31, 2023 | -76.06% |
| Dec 31, 2022 | -79.69% |
| Sep 30, 2022 | -64.57% |
| Jun 30, 2022 | -78.16% |
| Mar 31, 2022 | -88.96% |
| Dec 31, 2021 | -82.41% |
| Sep 30, 2021 | -86.05% |
Phillips 66 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=PSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PSX", "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=PSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();