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ALNG ASA (ALNG) Fair Value & Analysis

Energy · NO · Market cap 707M NOK

Pricekr 3.18
Fair Valuekr 0.9800
Upside-69.2%
Quality95/100
Evidence: High Range kr 0.8100 – kr 1.09

Fair value as of: Jun 24, 2026

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Analysis

ALNG ASA (ALNG) currently trades at kr 3.18, while our model-based Fair Value estimate is kr 0.9800 — implying the stock looks roughly 69.2% overvalued today. We read business quality at 95/100 (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: high).

About the company

ALNG ASA, together with its subsidiaries, owns and operates liquefied natural gas (LNG) vessels in Norway. The company owns two 156,000 cbm TFDE membrane LNG vessels. It also provides technical management services. The company was formerly known as Awilco LNG ASA and changed its name to ALNG ASA in June 2026. ALNG ASA was incorporated in 2011 and is based in Oslo, Norway.

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Frequently asked questions

Is ALNG ASA (ALNG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 0.9800 versus a price of kr 3.18 — about −69% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ALNG?
Our 21-model fair value for ALNG ASA is kr 0.9800 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 3.18.
What is the quality score of ALNG?
ALNG ASA has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.