Mplx (MPLX) Return on Sales [ROS] (2011 - 2026)
Mplx (MPLX) recorded Return on Sales [ROS] of 40.94% in Q3 2026, down 8.82 percentage points from 49.77% a year earlier and down 0.66 percentage points from the prior quarter.
Mplx (MPLX) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Mplx's Return on Sales [ROS] came in at 42.03% as of Sep 30, 2026, down 3.27 percentage points year-over-year; for FY2025, it came in at 45.72%, up 1.41 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for six straight years, with a five-year change of +42.93 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 44.31% in FY2024 (+0.88 pp), 43.44% in FY2023 (+1.15 pp), 42.29% in FY2022 (+2.48 pp) and 39.81% in FY2021 (+37.02 pp).
- Quarterly Return on Sales [ROS] has ranged from 6.80% in Q4 2021 to 49.77% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -1.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 37.03 percentage points in Q3 2022, against a drop of 12.54 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 41.61% (Q2 2026), 39.96% (Q1 2026) and 45.60% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 106.46 Bn | 104.34 Bn | 4.35 Bn | 10.14% |
| 2 | Williams Companies | 84.36 Bn | 87.15 Bn | 2.59 Bn | 35.25% |
| 3 | Enterprise Products Partners | 80.12 Bn | 78.52 Bn | 14.00 Mn | 11.09% |
| 4 | Kinder Morgan | 69.50 Bn | 69.59 Bn | 2.97 Bn | 25.60% |
| 5 | Energy Transfer | 66.92 Bn | 63.02 Bn | 6.57 Bn | 7.50% |
| 6 | Tc Energy | 66.06 Bn | 69.71 Bn | - | - |
| 7 | Targa Resources | 60.35 Bn | 59.56 Bn | 2.02 Bn | 19.58% |
| 8 | Cheniere Energy | 59.93 Bn | 59.50 Bn | 2.97 Bn | 31.02% |
| 9 | Mplx | 57.44 Bn | 51.69 Bn | 3.19 Bn | 40.94% |
| 10 | Oneok | 55.08 Bn | 63.62 Bn | 2.84 Bn | 12.59% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.94% |
| Jun 30, 2026 | 41.61% |
| Mar 31, 2026 | 39.96% |
| Dec 31, 2025 | 45.60% |
| Sep 30, 2025 | 49.77% |
| Jun 30, 2025 | 43.06% |
| Mar 31, 2025 | 43.73% |
| Dec 31, 2024 | 43.85% |
| Sep 30, 2024 | 42.90% |
| Jun 30, 2024 | 46.49% |
| Mar 31, 2024 | 43.96% |
| Dec 31, 2023 | 46.36% |
| Sep 30, 2023 | 39.63% |
| Jun 30, 2023 | 43.68% |
| Mar 31, 2023 | 44.08% |
| Dec 31, 2022 | 39.82% |
| Sep 30, 2022 | 49.22% |
| Jun 30, 2022 | 37.99% |
| Mar 31, 2022 | 40.61% |
| Dec 31, 2021 | 38.62% |
Mplx 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=MPLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MPLX", "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=MPLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();