B3 S.A (BOLSY) Fair Value & Analysis
Financial Services · US · Market cap $14.6B
Fair value as of: Jun 25, 2026
Analysis
B3 S.A (BOLSY) currently trades at $8.50, while our model-based Fair Value estimate is $5.28 — implying the stock looks roughly 37.9% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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
B3 S.A. - Brasil, Bolsa, Balcão, a financial market infrastructure company, provides trading services in an exchange and OTC environment. It operates through Markets, Data analytics solutions, Capital Market solutions, and Technology and platform segments. The company organized markets for securities, such as equities, financial contracts, indices, rates, currencies, energy, transportation, commodities, and spot and future settlement transactions. It also provides technological solutions for insurance, reinsurance, pension, and capitalization bond markets; data processing and analytics services, including standardization, quotations, and statistics; supports credit, financing, and leasing transactions in automotive, real estate, energy, and agribusiness sectors; and operates trading systems and clearinghouses. In addition, the company organized an over-the-counter market, and acts as a clearing ang settlement house. The company was formerly known as BM&FBOVESPA S.A. - Bolsa de Valor…
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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.