Bufab AB (BUFAB) Fair Value & Analysis
Industrials · SE · Market cap 22.1B SEK
Analysis
Bufab AB (BUFAB) currently trades at kr 122.00, while our model-based Fair Value estimate is kr 66.07 — implying the stock looks roughly 45.8% 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
Bufab AB (publ), a trading company, provides solutions for procurement, quality assurance, and logistics for c-parts and technical components in Sweden, Denmark, Finland, Norway, Germany, the United States, the United Kingdom, and internationally. The company offers C-parts, such as bolts, screws, nails, pins, clamps, rivets, nuts and washers, as well as other small metal and rubber or plastic parts, including cables, springs, and electronic fasteners. It also provides machining, turning, cold-formed parts, hot-forged parts; access hardware comprising hinges, locks, and latches; casted parts; magnets; sheet metal; tools and equipment; and wire products. In addition, the company is involved in the provision of security labels, industrial labels, masking and insulators, foams and gaskets, polyamide labels for SMT, labels for wires and cables, decal and membrane, and adhesive transfer tapes services; and magnet services, such as magnetization, assembly, bonding of magnets, and packagin…
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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.