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Banvida S.A (BANVIDA) Fair Value & Analysis

Financial Services · CL · Market cap 1.2T CLP

Price768.27 CLP
Fair Value1,132 CLP
Upside+47.4%
Quality95/100
Evidence: Medium Range 849.06 CLP – 1,415 CLP

Fair value as of: Jun 25, 2026

Analysis

Banvida S.A (BANVIDA) currently trades at 768.27 CLP, while our model-based Fair Value estimate is 1,132 CLP — implying the stock looks roughly 47.4% 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

Banvida S.A. provides financial services in Chile. The company provides financial services, such as life and general insurance, credit, and consumer loans, and investment services. The company also offers life annuities, life annuity reinsurance, traditional insurance, health, mortgage protection, life and total insurance, stockbrokerage, mortgage loan management, mutual funds, and banking. The company was founded in 1998 and is based in Santiago, Chile. Banvida S.A. is a subsidiary of Inversiones Teval S.A.

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Frequently asked questions

Is Banvida S.A (BANVIDA) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 1,132 CLP versus a price of 768.27 CLP — about +47% (undervalued). Model-based estimate, not financial advice.
What is the fair value of BANVIDA?
Our 21-model fair value for Banvida S.A is 1,132 CLP (as of Jun 25, 2026), built from audited fundamentals. The current price is 768.27 CLP.
What is the quality score of BANVIDA?
Banvida S.A has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.