Star Bulk Carriers (SBLK) Gains from Sales and Divestitures (2012 - 2026)
Star Bulk Carriers (SBLK) reported Gains from Sales and Divestitures of -$12.35 million for Q2 2026, compared with $7.96 million a year earlier.
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Analysis
Star Bulk Carriers (SBLK) Gains from Sales and Divestitures (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Star Bulk Carriers' Gains from Sales and Divestitures came in at -$3.83 million; for FY2025, it came in at -$18.31 million.
- By year, Gains from Sales and Divestitures came in at $43.29 million in FY2024 (+47.2%) and $29.4 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Gains from Sales and Divestitures in data going back to Q1 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.35 Mn |
| Mar 31, 2026 | -172,000.00 |
| Jun 30, 2025 | 7.96 Mn |
| Mar 31, 2025 | 740,000.00 |
| Mar 31, 2024 | -8.77 Mn |
| Dec 31, 2023 | 21.49 Mn |
| Sep 30, 2023 | 7.95 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Mar 31, 2023 | -3.32 Mn |
| Jun 30, 2017 | 1,000.00 |
| Mar 31, 2017 | 369,000.00 |
| Jun 30, 2016 | 173,000.00 |
| Mar 31, 2016 | -152,000.00 |
| Jun 30, 2015 | 11.34 Mn |
| Mar 31, 2015 | 2.05 Mn |
| Sep 30, 2013 | 168,000.00 |
| Sep 30, 2012 | 26,000.00 |
| Jun 30, 2012 | 2,000.00 |
| Mar 31, 2012 | 3.16 Mn |
API Access
Star Bulk Carriers Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=SBLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();