Banco Macro S.A (BMA) Fair Value & Analysis
Financial Services · US · Market cap $6.3B
Analysis
Banco Macro S.A (BMA) currently trades at $94.01, while our model-based Fair Value estimate is $188.02 — 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
Banco Macro S.A. provides various banking products and services to retail and corporate customers in Argentina. It offers various retail banking products and services, such as savings and checking accounts, time deposits, credit and debit cards, consumer finance loans, mortgage loans, automobile loans, overdrafts, credit-related services, home and car insurance coverage, tax collection, utility payments, automated teller machines, and money transfers. The company also provides personal loans, document discounts, residential mortgages, overdrafts, pledged loans, and credit card loans to retail customers. In addition, it offers corporate banking products and services, including deposits, lending, check cashing advances and factoring, guaranteed loans, credit lines for financing foreign trade, and cash management services; and trust, payroll, and financial agency services, as well as corporate credit cards and other specialty products; and working capital facilities, credit for investm…
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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.