Bossard Holding (BOSN) Fair Value & Analysis
Industrials · CH · Market cap CHF 1.3B
Analysis
Bossard Holding (BOSN) currently trades at CHF 196.00, while our model-based Fair Value estimate is CHF 155.07 — implying the stock looks roughly 20.9% overvalued today. We read business quality at 93/100 (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
Bossard Holding AG engages in the provision of industrial fastening and assembly solutions in Europe, the United States, and Asia. It offers standard fastening elements, such as screws, nuts, washers, pins, clamping and positioning elements, and anchorage systems; direct assembly screws for wood, metal, plastics, and masonry; and securing and anti-loosening elements, including securing and anti-loosening screws and washers, self-locking nuts, and retaining rings for shafts and bores. The company also provides specific fastening technologies, clinching, welding, and rivet technology products; threaded inserts, clip fasteners, and embedding and surface bonding fasteners; and functional elements comprising electrical products, access solutions, and sealing technology products. In addition, the company offers customized solutions, such as turned, milled, formed, and punched and bent parts; assemblies; and mounting and accessory kits, as well as related engineering and logistics services…
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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.