Höegh Autoliners ASA (HAUTO) Fair Value & Analysis
Industrials · NO · Market cap 26.1B NOK
Analysis
Höegh Autoliners ASA (HAUTO) currently trades at kr 154.40, while our model-based Fair Value estimate is kr 42.46 — implying the stock looks roughly 72.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Höegh Autoliners ASA provides ocean transportation services within the roll-on roll-off (RoRo) segment for the deep sea and short sea markets in Norway. It operates through two segments, Shipping Services and Logistics Services. The company offers ocean cargo transportation for automobiles; breakbulk; trucks, buses, and trailers; railcars and tramways; mining equipment; agricultural machinery; machinery shipping; construction equipment; power equipment; and boats and yachts. It also provides equipment handling and project cargo logistics services. In addition, the company is involved in terminal-related, management, ship owning, and crewing office activities, as well as the establishment of SPVs for entering into ship building contracts. It serves vehicle manufacturers; and producers of high and heavy construction equipment, as well as of other rolling and non-rolling stocks. As of December 31, 2025, the company operated a fleet of approximately 40 vessels. Höegh Autoliners ASA was …
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.