Pyxis Tankers (PXS) Return on Sales [ROS] (2014 - 2026)
Pyxis Tankers' Return on Sales [ROS] was 36.25% in the quarter ended Jun 30, 2026, up 45.71 percentage points from -9.46% a year earlier and up 2.59 percentage points from the prior quarter.
Pyxis Tankers (PXS) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pyxis Tankers' Return on Sales [ROS] was 31.08% through Jun 30, 2026, up 16.03 percentage points year-over-year; for the year ended Dec 31, 2025, it was 15.18%, down 17.27 percentage points from the prior year.
- Return on Sales [ROS] shows a five-year change of +24.09 percentage points (years ended Dec 2020 to Dec 2025).
- In earlier years, Return on Sales [ROS] was 32.45% in the year ended Dec 31, 2024 (-59.64 pp), 92.08% in the year ended Dec 31, 2023 (+62.41 pp), 29.67% in the year ended Dec 31, 2022 (+63.26 pp) and -33.59% in the year ended Dec 31, 2021 (-24.68 pp).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Return on Sales [ROS] since the quarter ended Jun 30, 2024.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -21.65 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Sep 30, 2021 (a gain of 11882.30 percentage points); the worst was the quarter ended Dec 31, 2024 (a drop of 164.24 percentage points).
- Per Business Quant data, PXS's Return on Sales [ROS] in the three quarters before the quarter ended Jun 30, 2026 was 33.65% (quarter ended Mar 31, 2026), 29.34% (quarter ended Dec 31, 2025) and 21.98% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Pyxis Tankers | 80.54 Mn | -121.35 Mn | - | 36.25% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.25% |
| Mar 31, 2026 | 33.65% |
| Dec 31, 2025 | 29.34% |
| Sep 30, 2025 | 21.98% |
| Jun 30, 2025 | -9.46% |
| Mar 31, 2025 | 16.24% |
| Dec 31, 2024 | 10.65% |
| Sep 30, 2024 | 34.33% |
| Jun 30, 2024 | 44.97% |
| Mar 31, 2024 | 37.70% |
| Dec 31, 2023 | 174.89% |
| Sep 30, 2023 | 36.83% |
| Jun 30, 2023 | 41.24% |
| Mar 31, 2023 | 92.04% |
| Dec 31, 2022 | 43.97% |
| Sep 30, 2022 | 37.24% |
| Jun 30, 2022 | 35.22% |
| Mar 31, 2022 | -39.91% |
| Dec 31, 2021 | -56.15% |
| Sep 30, 2021 | -38.88% |
Pyxis Tankers 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=PXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PXS", "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=PXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();