Star Bulk Carriers (SBLK) Return on Sales [ROS] (2009 - 2026)
Star Bulk Carriers' Return on Sales [ROS] came in at 43.38% for Q2 2026, up 38.03 percentage points from 5.35% a year earlier and up 18.43 percentage points from the prior quarter.
Star Bulk Carriers (SBLK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Star Bulk Carriers reported Return on Sales [ROS] of 27.74%, up 4.15 percentage points year-over-year; for FY2025, it came in at 13.13%, down 17.14 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -32.02 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 30.27% in FY2024 (+5.15 pp), 25.12% in FY2023 (-17.16 pp), 42.28% in FY2022 (-9.52 pp) and 51.80% in FY2021 (+6.65 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2022.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +14.87 percentage points over the last four quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 39.38 percentage points), and the weakest in Q1 2023 (a drop of 45.18 percentage points).
- Business Quant data shows SBLK's Return on Sales [ROS] at 24.95% (Q1 2026), 25.53% (Q4 2025) and 12.06% (Q3 2025) in the three quarters before Q2 2026.
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 | Star Bulk Carriers | 3.49 Bn | 1.66 Bn | 299.80 Mn | 43.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.38% |
| Mar 31, 2026 | 24.95% |
| Dec 31, 2025 | 25.53% |
| Sep 30, 2025 | 12.06% |
| Jun 30, 2025 | 5.35% |
| Mar 31, 2025 | 6.53% |
| Dec 31, 2024 | 20.14% |
| Sep 30, 2024 | 28.74% |
| Jun 30, 2024 | 36.12% |
| Mar 31, 2024 | 36.38% |
| Dec 31, 2023 | 22.48% |
| Sep 30, 2023 | 27.98% |
| Jun 30, 2023 | 24.06% |
| Mar 31, 2023 | 5.32% |
| Dec 31, 2022 | 30.12% |
| Sep 30, 2022 | 34.09% |
| Jun 30, 2022 | 50.90% |
| Mar 31, 2022 | 50.50% |
| Dec 31, 2021 | 62.80% |
| Jun 30, 2021 | 45.51% |
Star Bulk Carriers 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=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SBLK", "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=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();