Hopscotch Global PR Group (ALHOP) Fair Value & Analysis
Communication Services · FR · Market cap €53.6M
Fair value as of: Jun 24, 2026
Analysis
Hopscotch Global PR Group (ALHOP) currently trades at €19.90, while our model-based Fair Value estimate is €18.08 — implying the stock looks roughly 9.1% overvalued today. We read business quality at 94/100 (high quality), in the Communication 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
Hopscotch Global PR Group operates in public relations (PR) business in France and internationally. The company operates in specialized agencies, include Le Public Système PR, an agency for the reputation of companies and opinion formers; Sagarmatha that carries out internal and event communication campaigns; Le Public Système Cinema, a structure for cinema; Heaven, an advertising agency; Human to Human to preserve build, and restore the reputation of brands, companies, and managers on the Internet; and AD Crew, an influencer marketing agency. It provides Beeshake, a collective intelligence platform in SaaS mode; Capdel, an agile solution for small and medium business events; and Season that supports companies, brands, collectivities, and institutions in the food, drink, and lifestyle sectors. It serves luxe, sports, bank, insurance, real estate, entertainment, health, tourism, automotive, food and drinks, technology, aeronautics, transport, and energy industries. The company was fo…
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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.