PT Bank Victoria International Tbk (BVIC) Fair Value & Analysis
Financial Services · ID · Market cap 1.3T IDR
Fair value as of: Jun 26, 2026
Analysis
PT Bank Victoria International Tbk (BVIC) currently trades at 86.00 IDR, while our model-based Fair Value estimate is 92.98 IDR — implying the stock looks roughly 8.1% 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
PT Bank Victoria International Tbk provides banking products and services in Indonesia. The company offers various savings accounts; foreign exchange, rupiah, and online deposits; time deposits; bancassurance products and mutual funds; and investment products. It also provides loan products, such as home and car ownership loan, multi-purpose credit, and implant banking credit; corporate and commercial lending, small medium enterprise lending, and multi finance lending services; working capital loans; investment credit; bank guarantees; and domestic documentary letter of credit. In addition, the company offers internet and mobile banking services; Sharia banking services; and banknotes and foreign currency transactions. PT Bank Victoria International Tbk was incorporated in 1992 and is headquartered in Jakarta Selatan, Indonesia. PT Bank Victoria International Tbk is a subsidiary of PT Victoria Investama Tbk.
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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.