Star Bulk Carriers (SBLK) Total Current Liabilities (2009 - 2026)
Star Bulk Carriers' Total Current Liabilities was $421.98 million in Q2 2026, up 7.2% from $393.72 million a year earlier and up 22.7% from the prior quarter.
Star Bulk Carriers (SBLK) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Star Bulk Carriers came in at $383.68 million, down 4.0% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $399.81 million in FY2024 (+87.8%), $212.85 million in FY2023 (-24.7%), $282.56 million in FY2022 (-2.8%) and $290.8 million in FY2021 (+9.1%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q1 2024.
- Compared with a year earlier, Total Current Liabilities was higher in two of the last four quarters, with growth averaging 19.9%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2024 (growth of 87.8%); the worst was Q4 2023 (a decline of 24.7%).
- Per Business Quant data, SBLK's Total Current Liabilities in the three quarters before Q2 2026 was $343.92 million (Q1 2026), $383.68 million (Q4 2025) and $370.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 5.61 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 4.15 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 4.20 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 14.88 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.37 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 18.91 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 33.60 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 531.38 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 9.13 Bn |
| 10 | Star Bulk Carriers | 3.32 Bn | 1.50 Bn | 299.80 Mn | 421.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 421.98 Mn |
| Mar 31, 2026 | 343.92 Mn |
| Dec 31, 2025 | 383.68 Mn |
| Sep 30, 2025 | 370.14 Mn |
| Jun 30, 2025 | 393.72 Mn |
| Mar 31, 2025 | 388.23 Mn |
| Dec 31, 2024 | 399.81 Mn |
| Sep 30, 2024 | 413.49 Mn |
| Jun 30, 2024 | 477.21 Mn |
| Mar 31, 2024 | 177.30 Mn |
| Dec 31, 2023 | 212.85 Mn |
| Sep 30, 2023 | 343.62 Mn |
| Jun 30, 2023 | 329.47 Mn |
| Mar 31, 2023 | 310.82 Mn |
| Dec 31, 2022 | 282.56 Mn |
| Jun 30, 2022 | 304.87 Mn |
| Mar 31, 2022 | 311.79 Mn |
| Dec 31, 2021 | 290.80 Mn |
| Jun 30, 2021 | 356.05 Mn |
| Mar 31, 2021 | 311.12 Mn |
Star Bulk Carriers Total Current Liabilities 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=total-current-liabilities&ticker=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();