PT Bank MNC Internasional Tbk (BABP) Fair Value & Analysis
Financial Services · ID · Market cap 2.2T IDR
Fair value as of: Jun 26, 2026
Analysis
PT Bank MNC Internasional Tbk (BABP) currently trades at 50.00 IDR, while our model-based Fair Value estimate is 23.91 IDR — implying the stock looks roughly 52.2% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: high).
About the company
PT Bank MNC Internasional Tbk provides various banking products and services in Indonesia. It operates through Business, Consumer, Treasury, and Other segments. The company accepts demand, savings, and time deposits, as well as certificates of deposits. It provides loans including working capital, investment, housing, motorcycle, car loans; debit and credit cards; money market; customer fund account; trading; treasury services; foreign exchange transactions; remittances; fund transfers; wealth management; bancassurance; bank guarantees. The company also offers pension products and custodian bank services. It operates through main and supporting branch offices, functional office, and ATMs. The company was formerly known as PT Bank ICB Bumiputera Tbk and changed its name to PT Bank MNC Internasional Tbk in April 2014. PT Bank MNC Internasional Tbk was founded in 1989 and is headquartered in Jakarta Pusat, Indonesia.
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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.