Star Bulk Carriers (SBLK) Cost of Revenue (2009 - 2026)
Star Bulk Carriers (SBLK) posted Cost of Revenue of $57.61 million for Q2 2026, up 3.2% from $55.85 million a year earlier and up 9.2% from the prior quarter.
Star Bulk Carriers (SBLK) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Star Bulk Carriers was $213.22 million, down 43.6% year-over-year; for FY2025, it came in at $215.02 million, down 19.2% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Star Bulk Carriers' Cost of Revenue was $266.23 million in FY2024 (+4.9%), $253.84 million in FY2023 (-11.4%), $286.53 million in FY2022 (+26.7%) and $226.11 million in FY2021 (+13.0%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2024.
- On a year-over-year basis, Cost of Revenue increased in 1 of the last four quarters, with an average decline of 5.1%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 74.6%; the weakest was Q3 2023, with a decline of 37.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $52.76 million (Q1 2026), $56.13 million (Q4 2025) and $46.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Star Bulk Carriers | 3.49 Bn | 1.66 Bn | 299.80 Mn | 57.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.61 Mn |
| Mar 31, 2026 | 52.76 Mn |
| Dec 31, 2025 | 56.13 Mn |
| Sep 30, 2025 | 46.72 Mn |
| Jun 30, 2025 | 55.85 Mn |
| Mar 31, 2025 | 56.32 Mn |
| Dec 31, 2024 | 66.29 Mn |
| Sep 30, 2024 | 70.51 Mn |
| Jun 30, 2024 | 72.33 Mn |
| Mar 31, 2024 | 57.09 Mn |
| Dec 31, 2023 | 67.62 Mn |
| Sep 30, 2023 | 57.59 Mn |
| Jun 30, 2023 | 61.14 Mn |
| Mar 31, 2023 | 33.48 Mn |
| Dec 31, 2022 | 74.44 Mn |
| Sep 30, 2022 | 92.31 Mn |
| Jun 30, 2022 | 66.38 Mn |
| Mar 31, 2022 | 53.40 Mn |
| Dec 31, 2021 | 72.22 Mn |
| Jun 30, 2021 | 52.99 Mn |
Star Bulk Carriers Cost of Revenue 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=cost-of-revenue&ticker=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();