HBM Healthcare Investments AG (HBMN) Fair Value & Analysis
Financial Services · CH · Market cap CHF 1.6B
Analysis
HBM Healthcare Investments AG (HBMN) currently trades at CHF 235.50, while our model-based Fair Value estimate is CHF 47.67 — implying the stock looks roughly 79.8% overvalued today. We read business quality at 97/100 (high quality), in the Financial Services 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
HBM Healthcare Investments AG specializes in fund of funds and direct investments in middle market and mature companies. The fund prefers to invest in start up, early stage, mid stage, mid venture, late venture, and late stage private companies, unlisted emerging companies, small cap public companies, buyouts, growth capital, and private investment in public equities (PIPES). Within fund of funds, it invests in venture capital funds. It also seeks to finance spin-offs of product lines or departments from larger corporations and the expansion or restructuring of established companies, seed stages, venture capital, expansion capital stages, spin-offs, and buyouts. The fund prefers to invest in the private and public companies in the healthcare sector with a focus on human medicine, drugs, pharma , biopharma, biotechnology, diagnostics, medical technology, and related industries. It seeks to make initial investments in companies whose primary products are in clinical development or the…
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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.