Banco Patagonia S.A (BPAT) Fair Value & Analysis
Financial Services · AR · Market cap 1.6T ARS
Analysis
Banco Patagonia S.A (BPAT) currently trades at 2,235 ARS, while our model-based Fair Value estimate is 2,037 ARS — implying the stock looks roughly 8.9% 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
Banco Patagonia S.A. provides various banking products and services in Argentina. It offers savings, retired, salary, current, agro, and minor accounts; accounts for SMEs; and foreign trade services. The company also provides Patagonia leasing, capital marketing, and alternative financing services. In addition, it offers loans; safe deposit boxes; credit and debit cards; and home, car, motorbike, mobility, ATM robbery, protected belongings, smartphone, pets, personal accidents, life, health, burial, and rental bond insurance products. Further, the company offers financial agency services; mobile banking services; business cards; investments for fixed-term, mutual funds, and financial trusts; and collection, payment, inter-banking, and AFIP services. It serves individuals, businesses, professionals, SMEs, agro-business clients, the public sector, and institutional clients. The company was incorporated in 1928 and is based in Buenos Aires, Argentina. Banco Patagonia S.A. is a subsidia…
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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.