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Ramlösa shipping AB (RAMSH) Fair Value & Analysis

Industrials · SE · Market cap 100M SEK

Pricekr 18.50
Fair Valuekr 20.13
Upside+8.8%
Quality87/100
Evidence: Medium Range kr 15.10 – kr 25.16

Fair value as of: Jun 24, 2026

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Analysis

Ramlösa shipping AB (RAMSH) currently trades at kr 18.50, while our model-based Fair Value estimate is kr 20.13 — implying the stock looks roughly 8.8% undervalued today. We read business quality at 87/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Ramlösa shipping AB (publ) operates as a Swedish investment company that invests in international shipping by acquiring ownership interests in ships through ship-owning companies. It also owns shares in selected vessels, including LPG tankers, product tankers, container ships, feeder vessels, and ultra-deepwater drillships. The company was incorporated in 2022 and is based in Helsingborg, Sweden.

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Frequently asked questions

Is Ramlösa shipping AB (RAMSH) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 20.13 versus a price of kr 18.50 — about +9% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RAMSH?
Our 21-model fair value for Ramlösa shipping AB is kr 20.13 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 18.50.
What is the quality score of RAMSH?
Ramlösa shipping AB has a Quality Score of 87/100, 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.