Havas N.V (HAVAS) Fair Value & Analysis
Communication Services · NL · Market cap €1.7B
Analysis
Havas N.V (HAVAS) currently trades at €16.95, while our model-based Fair Value estimate is €42.52 — implying the stock looks roughly 150.9% undervalued today. We read business quality at 94/100 (high quality), in the Communication Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Havas N.V. provides communications and marketing services in France, the United Kingdom, rest of Europe, North America, Latin America, the Asia-Pacific, and Africa. The company offers a range of creative services, such as advertising, brand strategy, business transformation, and digital and social media solutions, as well as public relations and events. It also provides media experiences through media planning and buying, fan engagement, and retail media and e-commerce, as well as data analytics services to optimize client advertising investments. In addition, the company focuses on healthcare and wellness communications, which include providing specialized marketing services to pharmaceutical companies, healthcare providers, and wellness brands. Further, it offers advertising creation and solutions; brand and design expertise; content production; marketing services; customer experience; public relations and affairs; corporate communications, partnership, sponsorship and event solut…
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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.