Fairvalue-Calculator Fairvalue-Calculator
EN DE

Banco Itaú Chile (ITAUCL) Fair Value & Analysis

Financial Services · CL · Market cap 4.0T CLP

Price17,900 CLP
Fair Value25,724 CLP
Upside+43.7%
Quality95/100
Evidence: Medium Range 19,293 CLP – 32,155 CLP

Analysis

Banco Itaú Chile (ITAUCL) currently trades at 17,900 CLP, while our model-based Fair Value estimate is 25,724 CLP — implying the stock looks roughly 43.7% 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: medium) — always confirm before acting.

About the company

Banco Itaú Chile provides various banking products and services in Chile and Colombia. It offers savings accounts, time deposits, and checking and current accounts; debit and credit cards; and consumer, mortgage, universal, college, and post graduate credit services, as well as real estate loans. The company also provides corporate, investment, retail, private, and personal banking, as well as treasury and other financial services. In addition, it offers investment, mutual funds, open investment platform, and brokerage services. Further, the company provides auto, home, theft, life, health, and travel insurance. The company was founded in 1871 and is based in Santiago, Chile.

Open the full interactive analysis →

Similar stocks

State Bank of India (SBID) +79% HDFC Bank Limited (HDFCBANK) +77% ICICI Bank Limited (ICICIBANK) +7% PT Bank Central Asia Tbk (BBCA) -1% KB Financial Group (105560) +31% PT Bank Rakyat Indonesia (Persero) Tbk (BBRI) +100%

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.