Complete Fleet List
| Type | Vessel | Charterer | Built | Capacity | Backlog |
|---|---|---|---|---|---|
| Container | 16,800 TEU DF Newbuild 5 | Leading Container line | 16,800 TEU | Q4 2038 | |
| Container | 16,800 TEU DF Newbuild 4 | Leading Container line | 16,800 TEU | Q3 2038 | |
| Container | 16,800 TEU DF Newbuild 3 | Leading Container line | 16,800 TEU | Q3 2038 | |
| Container | 16,800 TEU DF Newbuild 2 | Leading Container line | 16,800 TEU | Q3 2038 | |
| Container | 16,800 TEU DF Newbuild 1 | Leading Container line | 16800 TEU | Q1 2038 | |
| Product tanker | SFL Tigris | Vitol | 2024 | 115.000 DWT | Q4 2029 |
| Product tanker | SFL Taurus | Vitol | 2024 | 115.000 DWT | Q3 2029 |
| Product tanker | SFL Tucana | Vitol | 2024 | 115.000 DWT | Q2 2029 |
| Chemical | SFL Bonaire | Stolt-Nielsen | 2023 | 33.000 DWT | Q3 2032 |
| Chemical | SFL Aruba | Stolt-Nielsen | 2022 | 33.000 DWT | Q3 2032 |
| Car Carriers | Arabian Sea | Eukor | 2010 | 4.900 CEU | Q3 2028 |
| Container | Maersk Pelepas | Maersk | 2022 | 2.500 TEU | Q4 2029 |
| Container | Maersk Phuket | Maersk | 2022 | 2.500 TEU | Q3 2029 |
| Suezmax | SFL Albany | Koch | 2020 | 160.000 DWT | Q4 2028 |
| Suezmax | SFL Fraser | Koch | 2020 | 160.000 DWT | Q4 2028 |
| Suezmax | SFL Thelon | Koch | 2015 | 160.000 DWT | Q3 2028 |
| Suezmax | SFL Ottawa | Koch | 2015 | 160.000 DWT | Q3 2028 |
| Product tanker | SFL Puma | Trafigura | 2015 | 115.000 DWT | Q4 2026 |
| Product tanker | SFL Panther | Trafigura | 2015 | 115.000 DWT | Q1 2027 |
| Product tanker | SFL Tiger | Trafigura | 2015 | 115.000 DWT | Q4 2026 |
| Product tanker | SFL Lion | Trafigura | 2014 | 115.000 DWT | Q1 2027 |
| Suezmax | Marlin Shikoku | Trafigura | 2019 | 150.000 DWT | Q1 2027 |
| Suezmax | Marlin Santorini | Trafigura | 2019 | 150.000 DWT | Q4 2026 |
| Suezmax | Marlin Sicily | Trafigura | 2019 | 150.000 DWT | Q1 2027 |
| Container | Baltimore Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q1 2029 |
| Container | Savannah Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q4 2028 |
| Container | SFL Hawaii | Maersk | 2014 | 6.800 TEU | Q1 2028 |
| Container | SFL Maui | Maersk | 2013 | 6.800 TEU | Q4 2027 |
| Car Carriers | Thor Highway | K Line | 2024 | 7.000 CEU | Q2 2034 |
| Car Carriers | Odin Highway | K Line | 2024 | 7.000 CEU | Q1 2034 |
| Car Carriers | Wolfsburg | Volkswagen | 2023 | 7.000 CEU | Q3 2033 |
| Car Carriers | Emden | Volkswagen | 2023 | 7.000 CEU | Q2 2033 |
| Container | Maersk Zambezi | Maersk | 2020 | 5.300 TEU | Q3 2028 |
| Container | MSC Reef | MSC | 2016 | 19.400 TEU | Q3 2033 |
| Container | MSC Erica | MSC | 2016 | 19.400 TEU | Q4 2033 |
| Container | Cap San Juan | Maersk | 2015 | 10.600 TEU | Q4 2030 |
| Container | Cap San Vincent | Maersk | 2015 | 10.600 TEU | Q3 2030 |
| Container | Cap San Lazaro | Maersk | 2015 | 10.600 TEU | Q3 2030 |
| Container | Vancouver Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q4 2029 |
| Container | Oakland Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q3 2029 |
| Container | Atlanta Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q3 2029 |
| Container | Houston Express | Hapag-Lloyd | 2014 | 15.400 TEU | Q3 2029 |
| Container | MSC Vaishnavi R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | Maersk Skarstind | Maersk | 2016 | 9.500 TEU | Q3 2025 |
| Car Carriers | SFL Conductor | Volkswagen | 2006 | 6.500 CEU | Q4 2026 |
| Jack Up | Linus | ConocoPhillips Skandinavia AS | 2014 | 450 ft | Q4 2028 |
| Semi-submersible | Hercules | Equinor | 2008 | 10.000 ft | Q4 2024 |
| Bulk | SFL Yangtze | Short term | 2012 | 82.000 DWT | |
| Bulk | SFL Yukon | Short term | 2010 | 57.000 DWT | |
| Product tanker | SFL Trinity | Phillips 66 | 2017 | 114.000 DWT | Q3 2025 |
| Bulk | SFL Sara | Short term | 2011 | 57.000 DWT | |
| Product tanker | SFL Sabine | Phillips 66 | 2017 | 114.000 DWT | Q3 2024 |
| Bulk | SFL Kate | Short Term | 2011 | 57.000 DWT | |
| Bulk | SFL Humber | Short Term | 2012 | 57.000 DWT | |
| Bulk | SFL Hudson | Short term | 2010 | 57.000 DWT | |
| Container | San Francisca | Maersk | 2015 | 8.700 TEU | Q2 2030 |
| Container | San Fernando | Maersk | 2014 | 8.700 TEU | Q1 2030 |
| Container | San Felix | Maersk | 2014 | 8.700 TEU | Q1 2030 |
| Container | San Felipe | Maersk | 2014 | 8.700 TEU | Q4 2029 |
| Container | MSC Zlata R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | MSC Viviana | MSC | 2017 | 19.200 TEU | Q1 2032 |
| Container | MSC Vidisha R | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | MSC Katya R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | MSC Julia R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | MSC Arushi R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Container | MSC Anna | MSC | 2016 | 19.200 TEU | Q4 2031 |
| Container | MSC Anisha R. | MSC | 2002 | 4.100 TEU | Q3 2025 |
| Bulk | SFL Pearl | Short term | 2012 | 82.000 DWT | |
| Container | Maersk Shivling | Maersk | 2016 | 9.300 TEU | Q4 2025 |
| Container | Maersk Sarat | Maersk | 2015 | 9.500 TEU | Q3 2025 |
| Bulk | KSL China | Golden Ocean | 2013 | 180.000 DWT | Q3 2025 |
| Container | Asian Ace | Maersk | 2005 | 1.700 TEU | Q2 2025 |
| Container | Green Ace | Short term | 2005 | 1.700 TEU | |
| Bulk | Golden Zhoushan | Golden Ocean | 2011 | 176.000 DWT | Q3 2028 |
| Bulk | Golden Zhejiang | Golden Ocean | 2010 | 176.000 DWT | Q3 2025 |
| Bulk | Golden Magnum | Golden Ocean | 2009 | 180.000 DWT | Q3 2028 |
| Bulk | Golden Future | Golden Ocean | 2010 | 176.000 DWT | Q3 2025 |
| Bulk | Golden Beijing | Golden Ocean | 2010 | 176.000 DWT | Q3 2028 |
| Car Carriers | SFL Composer | Volkswagen | 2005 | 6.500 CEU | Q1 2027 |
| Bulk | Belgravia | Golden Ocean | 2009 | 170.000 DWT | Q3 2025 |
| Bulk | Battersea | Golden Ocean | 2009 | 170.000 DWT | Q3 2025 |
The Charter backlog illustrations are based on the fixed charter period, excluding any options, and the information may change without notice. Vessels on short term charters (<1 year) are shown as “short term contract”. Some charters have purchase options that will if exercised reduce the contracted backlog. The data is for illustrational purposes only and SFL is not responsible for the accuracy and reliability of the data.