Höegh LNG Holdings (HLNG) Fair Value & Analysis
Energy · NO · Market cap 1.8B NOK
Fair value as of: Jun 24, 2026
Analysis
Höegh LNG Holdings (HLNG) currently trades at kr 23.40, while our model-based Fair Value estimate is kr 10.06 — implying the stock looks roughly 57.0% overvalued today. We read business quality at 79/100 (high quality), in the Energy 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: medium).
About the company
Höegh LNG Holdings Ltd., together with its subsidiaries, provides floating energy solutions worldwide. The company operates through four segments: HMLP, Operations, Business Development, and Project Execution. It owns and operates floating LNG import terminals, floating storage and regasification units (FSRUs), and LNG carriers (LNGCs). The company also acquires FSRUs, LNGCs, and other LNG infrastructure assets under long-term charters. As of December 31, 2020, it operated a fleet of two LNG transportation vessels, and ten floating storage and regasification units. The company is also involved in the commercial and technical management and bareboat hiring; and business development and project execution activities, as well as corporate functions. In addition, it owns ships. The company was incorporated in 2006 and is headquartered in Oslo, Norway. As of May 4, 2021, Höegh LNG Holdings Ltd. operates as a join venture between Leif Höegh & Co AS and Morgan Stanley Infrastructure Inc.
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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.