Viva Goods Company (VVCHF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $697M
Analysis
Viva Goods Company (VVCHF) currently trades at $0.0700, while our model-based Fair Value estimate is $0.0600 — implying the stock looks roughly 14.3% overvalued today. We read business quality at 86/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
Viva Goods Company Limited engages in the design, development, branding, and sale of sports and lifestyle apparel and footwear in the United Kingdom, the Republic of Ireland, the United States, the People's Republic of China, Asia, Europe, the Middle East, and Africa. It operates in two segments, Multi-Brand Apparel and Footwear, and Sports Experience. The company offers apparel and footwear, as well as lifestyle products under the Clarks, Bossini/bossini.X, LNG, and TESTONI. It is also involved in management and operation of sports parks, sports centres, ice-skating rinks, and e-sports clubs; coordination of sports events; and sports-related marketing services, as well as sports competitions. In addition, the company retails and distributes garments; offers sports talent management, competition and event production and management, sports-related marketing and consultancy; manufactures shoes; production and distribution of sports content; management and marketing of sports talents; …
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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.