Sonova Holding (SONVY) Fair Value & Analysis
Healthcare · US · Market cap $14.1B
Analysis
Sonova Holding (SONVY) currently trades at $47.36, while our model-based Fair Value estimate is $39.31 — implying the stock looks roughly 17.0% overvalued today. We read business quality at 96/100 (high quality), in the Healthcare 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
Sonova Holding AG manufactures and sells hearing care solutions for children and adults in Switzerland, the United States, rest of the Americas, Europe, the Middle East, Africa, and the Asia Pacific. It operates through Hearing Instruments, Cochlear Implants, and Lifestyle-Aligned segments. The Hearing Instruments segment engages in the design, development, manufacture, distribution, and service of hearing instruments and related products, as well as wireless headsets, speech-enhanced hearables, and audiophile headphones under the Phonak, Unitron, Hansaton, and Sennheiser brand names; and audiological care services under the AudioNova, Audition Santé, Boots Hearingcare, Connect Hearing, Geers, Hansaton, Lapperre, Schoonenberg, and Triton Hearing brands. The Cochlear Implants segment is involved in the design, development, manufacture, distribution, and service of hearing instruments and related products under the Advanced Bionics brand. The Lifestyle-Aligned segment designs connecte…
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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.