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PT Bank OCBC NISP Tbk (NISP) Fair Value & Analysis

Financial Services · ID · Market cap 25.7T IDR

Price1,240 IDR
Fair Value2,480 IDR
Upside+100.0%
Quality95/100
Evidence: High Range 1,860 IDR – 3,100 IDR

Analysis

PT Bank OCBC NISP Tbk (NISP) currently trades at 1,240 IDR, while our model-based Fair Value estimate is 2,480 IDR — implying the stock looks roughly 100.0% 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 OCBC NISP Tbk provides various banking products and services to corporate and individual customers in Indonesia. The company operates through Business banking, Consumer banking, Global markets and Others segments. It offers savings and current accounts; time deposits; house, multipurpose, automobile, personal, secured, business, working capital, mortgage, and investment backed loans; credit and debit cards; mutual funds, insurance products, FX products, bonds, and structured and gold products; and premier and private banking services. The company also provides payment and collection, trade and supply chain financing, and export and import financing services; payroll and benefit products; treasury products; capital equity; account investment products; and web and mobile banking, and payment gateway services, as well as e-wallet and bill payment services. In addition, it offers bank reference, bank comfort, and confirmation letters; safe deposit boxes; bank notes; telegraphic …

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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.