Dorian Lpg (LPG) Return on Sales [ROS] (2013 - 2026)
Dorian Lpg (LPG) posted Return on Sales [ROS] of 75.93% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 57.42 percentage points from 18.51% a year earlier and up 21.17 percentage points from the prior quarter.
Dorian Lpg (LPG) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Dorian Lpg was 57.63%, up 35.12 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 43.65%, up 11.77 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +6.90 percentage points (FY2021 to FY2026).
- In prior fiscal years, Dorian Lpg's Return on Sales [ROS] was 31.88% in FY2025 (-26.76 pp), 58.64% in FY2024 (+7.75 pp), 50.89% in FY2023 (+17.20 pp) and 33.70% in FY2022 (-3.05 pp).
- The fiscal Q1 2027 figure stands as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q4 2014.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of -1.10 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2027, with a gain of 57.42 percentage points; the weakest was fiscal Q4 2025, with a drop of 38.90 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 54.76% (Q4 2026), 42.77% (Q3 2026) and 47.83% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 175.55 Bn | 167.80 Bn | - | 40.89% |
| 2 | United Parcel Service | 94.49 Bn | 71.31 Bn | - | 7.63% |
| 3 | Csx | 92.18 Bn | 87.40 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 82.99 Bn | 82.02 Bn | - | 35.25% |
| 5 | Fedex | 75.70 Bn | 41.89 Bn | - | 6.20% |
| 6 | Norfolk Southern | 73.09 Bn | 67.56 Bn | - | 32.61% |
| 7 | Delta Air Lines | 59.73 Bn | 41.91 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 38.99 Bn | -18.71 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 35.14 Bn | 33.98 Bn | - | 28.46% |
| 10 | Dorian Lpg | 1.93 Bn | 697.72 Mn | - | 75.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.93% |
| Mar 31, 2026 | 54.76% |
| Dec 31, 2025 | 42.77% |
| Sep 30, 2025 | 47.83% |
| Jun 30, 2025 | 18.51% |
| Mar 31, 2025 | 19.36% |
| Dec 31, 2024 | 28.99% |
| Sep 30, 2024 | 23.17% |
| Jun 30, 2024 | 48.51% |
| Mar 31, 2024 | 58.26% |
| Dec 31, 2023 | 67.67% |
| Sep 30, 2023 | 55.62% |
| Jun 30, 2023 | 49.86% |
| Mar 31, 2023 | 62.69% |
| Dec 31, 2022 | 55.65% |
| Sep 30, 2022 | 37.04% |
| Jun 30, 2022 | 37.68% |
| Mar 31, 2022 | 47.07% |
| Dec 31, 2021 | 32.89% |
| Sep 30, 2021 | 30.30% |
Dorian Lpg 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=LPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LPG", "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=LPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();