Banco de Crédito e Inversiones (BCI) Fair Value & Analysis
Basic Materials · CL · Market cap A$1.0B
Fair value as of: Jun 25, 2026
Analysis
Banco de Crédito e Inversiones (BCI) currently trades at A$0.3750, while our model-based Fair Value estimate is A$0.1700 — implying the stock looks roughly 54.7% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: low).
About the company
Banco de Crédito e Inversiones provides various banking products and services in Chile, the United States, and Peru. It offers checking and current accounts; debit and credit cards; consumer and mortgage loans; factoring and leasing financing solutions; corporate finance and agency solutions; transactional services; and foreign exchange, hedging and structuring of derivatives, fixed income products, and international trade services. The company also provides money market and medium- and long-term mutual funds, foreign currency, and forward and fixed income instrument alternatives products; transactional services, such as payments, collection, cash pooling, electronic statement, and fund transfer services; commercial vehicle, private use vehicle, commercial fire, and transport and engineering insurance, as well as mortgage protection, fire, and earthquake insurance. In addition, it offers financing solutions, including short-term and long-term commercial credit, guarantee certificate…
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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.