Nilfisk Holding (NLFSK) Fair Value & Analysis
Industrials · DK · Market cap 3.8B DKK
Analysis
Nilfisk Holding (NLFSK) currently trades at kr 139.40, while our model-based Fair Value estimate is kr 22.54 — implying the stock looks roughly 83.8% 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
Nilfisk Holding A/S develops, manufactures, and sells cleaning solutions and services worldwide. It operates through Professional Business, Service Business, Specialty Business, and Consumer Business segments. The company provides commercial vacuum cleaners, such as upright, and wet and dry vacuum cleaners, as well as industrial vacuum cleaners; floor cleaning solutions, including scrubber dryers, sweepers, combination machines, single discs, carpet extractors, burnishers, robotic floor cleaners, and steam cleaners; mobile, stationary, and petrol/diesel driven pressure washers; and industry, floorcare, textile, vehicle, and surface detergents, as well as disinfectants and care and maintenance products. It serves agriculture, automotive, building and construction, contract cleaners, education, food and beverage, healthcare, consumer, hospitality, iron and metal, manufacturing, offices and public buildings, pharma, retail, and warehousing and logistics industries through a network of …
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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.