Bolloré SE (BOIVF) Fair Value & Analysis
Communication Services · US · Market cap $17.4B
Analysis
Bolloré SE (BOIVF) currently trades at $4.49, while our model-based Fair Value estimate is $3.09 — implying the stock looks roughly 31.2% 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
Bolloré SE engages in the transportation and logistics, communications, and industry businesses in France, rest of Europe, the Americas, the Asia-Pacific, and Africa. The company operates through Bolloré Energy, Communications, and Industry segments. It is involved in distribution and warehousing of oil products, as well as domestic fuel oil and transport and other diesel. The company also engages in the publishing and distribution of pay and free TV and production; sale and distribution of cinema films and TV series; design and release of downloadable video games on mobile devices and consoles; ticketing and venue services; communications consulting and advertising agencies; magazine sales; sales of goods and circulation of publications; travel retail sales; and sales of licenses and subscription services. In addition, it is involved in production and sale of electric batteries and their applications; and electric vehicles, and electricity storage and solutions and films. The compa…
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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.