Vimab Group (VIMAB) Fair Value & Analysis
Industrials · SE · Market cap 134M SEK
Fair value as of: Jun 24, 2026
Analysis
Vimab Group (VIMAB) currently trades at kr 2.66, while our model-based Fair Value estimate is kr 3.42 — implying the stock looks roughly 28.6% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.
About the company
Vimab Group AB (publ), together with its subsidiaries, operates in the energy service, and industrial and environmental technology industries in Sweden and internationally. The company sells energy storage systems and fittings, as well as valve or spare part; and manufactures various products, such as portable valve grinding equipment, electric steam boilers, customized steam systems, molds, tooling, prototypes, rollers, shafts, and many other machine components. It also provides repair and maintenance services for energy-producing industries; valve services; piping services, including industrial pipe welding, steam piping, refrigeration, industrial plumbing, repairs, pipe insulation, and forging; and cutting services. In addition, the company operates as a mechanical workshop and contract manufacturer for companies in a variety of industries; and build various infrastructure networks, such as fiber and power supply. The company was incorporated in 2011 and is based in Stockholm, Sw…
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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.