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Exmar NV (EXM) Fair Value & Analysis

Energy · BE · Market cap €914M

Price€11.00
Fair Value€7.70
Upside-30.0%
Quality95/100
Evidence: High Range €6.39 – €11.00

Analysis

Exmar NV (EXM) currently trades at €11.00, while our model-based Fair Value estimate is €7.70 — implying the stock looks roughly 30.0% 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

Exmar NV engages in the provision of shipping and floating infrastructure solutions worldwide. The company operates through Shipping, Infrastructure, and Supporting Services segments. It transports liquefied gas products, such as liquid natural gas, liquid petroleum gas, butane, propane, anhydrous ammonia, and petrochemical gases. The company also offers floating infrastructure solutions to the oil and gas industries by making use of its asset portfolio, and through developing new assets for near-shore and offshore production, processing, storage or other ancillary services. In addition, it provides ship management, technical and crewing, consultancy and engineering, manufacturing, travel agency, yachting, and investment portfolio services, as well as manufactures ropes for marine, industrial, and offshore applications. The company serves fertilizer, clean energy fuel, and petrochemical industries. Exmar NV was founded in 1829 and is headquartered in Antwerp, Belgium. The company op…

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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.