Seanergy Maritime Holdings (SHIP) Return on Sales [ROS] (2009 - 2026)
Seanergy Maritime Holdings' Return on Sales [ROS] came in at 54.72% for Q2 2026, up 32.75 percentage points from 21.97% a year earlier and up 17.80 percentage points from the prior quarter.
Seanergy Maritime Holdings (SHIP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Seanergy Maritime Holdings reported Return on Sales [ROS] of 42.63%, up 18.94 percentage points year-over-year; for FY2025, it came in at 27.41%, down 9.95 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +27.84 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 37.37% in FY2024 (+18.00 pp), 19.37% in FY2023 (-4.38 pp), 23.74% in FY2022 (-19.31 pp) and 43.05% in FY2021 (+43.47 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2021.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +5.93 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 43.97 percentage points), and the weakest in Q1 2025 (a drop of 45.48 percentage points).
- Business Quant data shows SHIP's Return on Sales [ROS] at 36.93% (Q1 2026), 37.47% (Q4 2025) and 38.93% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 40.89% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 7.63% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 35.25% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 6.20% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 32.61% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 28.46% |
| 10 | Seanergy Maritime Holdings | 288.03 Mn | 86.10 Mn | 54.35 Mn | 55.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.47% |
| Mar 31, 2026 | 36.93% |
| Dec 31, 2025 | 37.47% |
| Sep 30, 2025 | 38.93% |
| Jun 30, 2025 | 21.97% |
| Mar 31, 2025 | -7.04% |
| Dec 31, 2024 | 25.78% |
| Sep 30, 2024 | 39.95% |
| Jun 30, 2024 | 59.79% |
| Mar 31, 2024 | 38.44% |
| Dec 31, 2023 | 37.17% |
| Sep 30, 2023 | 0.09% |
| Jun 30, 2023 | 44.90% |
| Mar 31, 2023 | 45.25% |
| Dec 31, 2022 | 45.19% |
| Sep 30, 2022 | 54.70% |
| Jun 30, 2022 | 49.04% |
| Mar 31, 2022 | 43.10% |
| Dec 31, 2021 | 56.97% |
| Sep 30, 2021 | 51.13% |
Seanergy Maritime Holdings 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=SHIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SHIP", "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=SHIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();