Banestes S.A (BEES3) Fair Value & Analysis
Financial Services · BR · Market cap R$3.0B
Analysis
Banestes S.A (BEES3) currently trades at R$8.60, while our model-based Fair Value estimate is R$17.20 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial 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
Banestes S.A - Banco do Estado do Espírito Santo S.A., together with its subsidiaries, operates as a multiple-service bank in Brazil. It operates through Financial; and Insurance and Other segments. The company operates through its portfolios of commercial, rural, industrial, real estate, foreign exchange, leasing, investment, and credit card administration; and in the areas of insurance and distribution, intermediation, and administration of third-party resources. It also provides asset and fund management; administration and intermediation of securities, insurance, pension plans, and capitalization; investment funds; credit and debit cards; internet banking; checking, savings, special, trust check, young and university, easier, simplified, salary, and judicial accounts; capitalization bonds; car, life, home, personal accident, card financial protection, and business insurance; collections and agreement; transfer of funds and resources; collection; custody; credit and financing opt…
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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.