Banco BBVA Argentina S.A (BBAR) Fair Value & Analysis
Financial Services · US · Market cap $4.3B
Analysis
Banco BBVA Argentina S.A (BBAR) currently trades at $20.39, while our model-based Fair Value estimate is $18.36 — implying the stock looks roughly 10.0% 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
Banco BBVA Argentina S.A. provides banking products and services in Argentina. The company offers retail banking products and services, such as checking and savings accounts, time deposits, credit card financing, consumer and pledge loans, mortgages, insurance, and investment products to individuals; and financing products, factoring, checking accounts, time deposits, transactional and payroll services, insurance, and investment products to private-sector companies and small and medium-sized enterprises. It also provides corporate and investment banking products and services, including global transaction services; global markets solutions comprising risk management and securities brokerage; project finance and syndicated loans; and corporate finance services consisting of mergers and acquisitions and capital markets advisory services to corporations and multinational companies. In addition, the company provides foreign trade and asset management services, as well as credit and debit…
Open the full interactive analysis →
Similar stocks
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.