Star Bulk Carriers (SBLK) Operating Margin (2009 - 2026)
Star Bulk Carriers' Operating Margin 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) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Star Bulk Carriers reported Operating Margin of 27.74%, up 4.15 percentage points year-over-year; for FY2025, it was 13.13%, down 17.14 percentage points from FY2024.
- Operating Margin carries a five-year change of -32.02 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin 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 Operating Margin since Q2 2022.
- Year-over-year, Operating Margin 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 Operating Margin 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 Operating Margin 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 40.25% |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 38.27% |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 4.07% |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 35.35% |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 32.44% |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 6.20% |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 7.20% |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 6.20% |
| 10 | Star Bulk Carriers | 3.23 Bn | 1.40 Bn | 293.09 Mn | 54.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.51% |
| Mar 31, 2026 | 24.95% |
| Dec 31, 2025 | 25.53% |
| Sep 30, 2025 | 12.06% |
| Jun 30, 2025 | 22.58% |
| Mar 31, 2025 | 6.53% |
| Dec 31, 2024 | 34.38% |
| Sep 30, 2024 | 28.74% |
| Jun 30, 2024 | 36.12% |
| Mar 31, 2024 | 36.38% |
| Dec 31, 2023 | 35.36% |
| Sep 30, 2023 | 27.98% |
| Jun 30, 2023 | 24.06% |
| Mar 31, 2023 | 5.32% |
| Dec 31, 2022 | 43.59% |
| Sep 30, 2022 | 34.09% |
| Jun 30, 2022 | 50.90% |
| Mar 31, 2022 | 50.50% |
| Dec 31, 2021 | 70.63% |
| Jun 30, 2021 | 45.51% |
Star Bulk Carriers Operating Margin 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=operating-margin&ticker=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();