Martela Oyj (MARAS) Fair Value & Analysis
Consumer Cyclical · FI · Market cap €2.3M
Fair value as of: Jun 25, 2026
Analysis
Martela Oyj (MARAS) currently trades at €0.5120, while our model-based Fair Value estimate is €0.7324 — implying the stock looks roughly 43.0% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Martela Oyj operates in the workplace industry in Finland, Sweden, Norway, and internationally. The company offers seating products, including task, conference, care, universal, easy, and school chairs; sofas, benches, and stools; tables, such as standing height, conference, school, electric, universal, sofa and side, and folding tables, as well as desks; and storage products comprising cabinets and lockers, pedestals, and school cabinets and lockers. It also provides floor and table screens, and space dividers; phone booths and meeting modules; school furniture; and other products, such as bean bags, trolley for storing and moving chairs, decorative cushions, office bags, coat racks, recycling units, storage baskets, and seat cushions. In addition, the company offers cable management accessories, including cable channels, power outlets and holders, power outlets with USB-C, power outlets, powerlogs, wire holes, cable holders, cord organizers, and cable tubes; and workstation access…
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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.