Star Bulk Carriers (SBLK) Cash & Equivalents (2009 - 2026)
Star Bulk Carriers (SBLK) posted Cash & Equivalents of $498.17 million for Q2 2026, up 15.6% from $430.77 million a year earlier and up 25.5% from the prior quarter.
Star Bulk Carriers (SBLK) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Star Bulk Carriers' Cash & Equivalents came in at $488.51 million, up 14.9% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 21.7% (FY2020 to FY2025).
- In prior years, Star Bulk Carriers' Cash & Equivalents was $425.07 million in FY2024 (+86.9%), $227.48 million in FY2023 (-15.7%), $269.75 million in FY2022 (-40.1%) and $450.29 million in FY2021 (+145.8%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q1 2009.
- On a year-over-year basis, Cash & Equivalents increased in three of the last four quarters, with growth averaging 27.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 145.8%; the weakest was Q1 2023, with a decline of 47.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $397.04 million (Q1 2026), $488.51 million (Q4 2025) and $442.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 1.61 Bn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | 264.59 Mn |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | 4.65 Bn |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 1.07 Bn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | 10.17 Bn |
| 10 | Star Bulk Carriers | 3.45 Bn | 1.63 Bn | 299.80 Mn | 498.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 498.17 Mn |
| Mar 31, 2026 | 397.04 Mn |
| Dec 31, 2025 | 488.51 Mn |
| Sep 30, 2025 | 442.35 Mn |
| Jun 30, 2025 | 430.77 Mn |
| Mar 31, 2025 | 436.84 Mn |
| Dec 31, 2024 | 425.07 Mn |
| Sep 30, 2024 | 453.56 Mn |
| Jun 30, 2024 | 462.58 Mn |
| Mar 31, 2024 | 228.45 Mn |
| Dec 31, 2023 | 227.48 Mn |
| Sep 30, 2023 | 287.91 Mn |
| Jun 30, 2023 | 285.25 Mn |
| Mar 31, 2023 | 234.50 Mn |
| Dec 31, 2022 | 269.75 Mn |
| Sep 30, 2022 | 392.71 Mn |
| Jun 30, 2022 | 350.37 Mn |
| Mar 31, 2022 | 444.41 Mn |
| Dec 31, 2021 | 450.29 Mn |
| Jun 30, 2021 | 225.47 Mn |
Star Bulk Carriers Cash & Equivalents 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=cash-and-equivalents&ticker=SBLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();