BELIMO Holding (BLHWF) Fair Value & Analysis
Industrials · US · Market cap $14.8B
Analysis
BELIMO Holding (BLHWF) currently trades at $1,200, while our model-based Fair Value estimate is $309.38 — implying the stock looks roughly 74.2% 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
BELIMO Holding AG, together with its subsidiaries, engages in the development, production, and sale of damper actuators, control valves, sensors, and meters for heating, ventilation, and air conditioning systems (HVAC) in Europe, the Middle East, Africa, the Americas, and the Asia Pacific. It offers HVAC damper actuators, including non-fail-safe and fail-safe actuators, fast running and linear actuators, actuators for harsh environmental conditions, linear actuators, fire damper and smoke control actuators, variable air volume, valve actuators, and accessories. The company also provides various control valves, such as energy, pressure independent control, zone, characterized control, ball, butterfly valves, globe valves, valve actuators, and valve accessories. In addition, it offers measurement and monitoring sensors and meters, which include duct and outdoor sensors for air; water pipe sensors; room units; gas monitoring devices; thermal energy meters; and sensors accessories for t…
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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.