Munters Group (MTRS) Fair Value & Analysis
Industrials · SE · Market cap 37.7B SEK
Analysis
Munters Group (MTRS) currently trades at kr 171.90, while our model-based Fair Value estimate is kr 48.58 — implying the stock looks roughly 71.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Munters Group AB (publ) provides climate solutions in the Americas, Europe, the Middle East, Africa, and Asia-pacific. The company operates through three segments: AirTech, Data Center Technologies, and FoodTech. It offers industrial and commercial dehumidification and climate control products, such as air cleaning and inlet systems, air pollution control and VOC abatement solutions, controllers and automations, coolers and humidifiers, dehumidifiers, fans, heaters, heat exchangers, mass transfer equipment, and mist eliminators. The company also provides lifecycle solutions, including service agreements, installation, start-up, commissioning, maintenance and repairs, and retrofit and upgrade. In addition, it offers its products for cold storage, cooling, dehumidification, farm management, gas liquid separation, high temperature, humidification, mass transfer, preservation, spray drying, and volatile organic compound abatement solutions. The company serves automotive, battery, chemic…
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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.