Star Bulk Carriers (SBLK) EV to EBITDA (2014 - 2026)
Star Bulk Carriers' (SBLK) EV to EBITDA came in at 5.54 for Q2 2026, up 195.8% from 1.87 a year earlier and up 67.2% from the prior quarter.
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Analysis
Star Bulk Carriers (SBLK) EV to EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Star Bulk Carriers was 2.39, up 730.6% year-over-year.
- In prior years, Star Bulk Carriers' EV to EBITDA was 2.42 in FY2024 (-39.7%), 4.01 in FY2023 (+82.2%), 2.20 in FY2022 (+7.1%) and 2.06 in FY2021 (-27.9%).
- The Q2 2026 figure stands as the highest quarterly EV to EBITDA since Q1 2018.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q2 2026, with growth of 195.8%; the weakest was Q2 2022, with a decline of 44.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 171.77 Bn | 166.29 Bn | - |
| 2 | Csx | 89.62 Bn | 85.83 Bn | - |
| 3 | United Parcel Service | 84.59 Bn | 61.48 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.25 Bn | 77.27 Bn | - |
| 5 | Norfolk Southern | 73.49 Bn | 68.14 Bn | - |
| 6 | Fedex | 70.97 Bn | 36.92 Bn | - |
| 7 | Delta Air Lines | 51.41 Bn | 33.60 Bn | - |
| 8 | Old Dominion Freight Line | 39.34 Bn | 38.60 Bn | - |
| 9 | United Airlines Holdings | 33.40 Bn | -22.97 Bn | - |
| 10 | Star Bulk Carriers | 3.32 Bn | 1.50 Bn | 293.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.34 |
| Mar 31, 2026 | 5.51 |
| Dec 31, 2025 | 4.84 |
| Sep 30, 2025 | 4.87 |
| Jun 30, 2025 | 3.99 |
| Mar 31, 2025 | 3.44 |
| Mar 31, 2024 | 4.05 |
| Dec 31, 2023 | 4.34 |
| Sep 30, 2023 | 4.24 |
| Jun 30, 2023 | 3.29 |
| Mar 31, 2023 | 3.22 |
| Dec 31, 2022 | 2.12 |
| Sep 30, 2022 | 2.18 |
| Jun 30, 2022 | 2.99 |
| Mar 31, 2022 | 5.21 |
| Jun 30, 2021 | 5.92 |
| Mar 31, 2021 | 5.97 |
| Jun 30, 2020 | 3.35 |
| Mar 31, 2020 | 3.05 |
| Jun 30, 2018 | 4.54 |
API Access
Star Bulk Carriers EV to EBITDA 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=ev-to-ebitda&ticker=SBLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SBLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();