PT Bank Negara Indonesia (Persero) Tbk, (PTBRY) Fair Value & Analysis
Financial Services · US · Market cap $8.2B
Analysis
PT Bank Negara Indonesia (Persero) Tbk, (PTBRY) currently trades at $9.43, while our model-based Fair Value estimate is $18.86 — 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 Negara Indonesia (Persero) Tbk, together with its subsidiaries, provides various banking products and services in Indonesia, rest of Asia, New York, and Europe. It operates through Corporate Banking, Institutional Banking, Commercial Banking, Consumer Banking, Treasury & International Banking, Head Office, and Subsidiaries segments. The company offers savings; savings plan and FIPF products; loans; credit cards; bancassurance, payroll, and simulation services; safe deposit boxes, bank references, bonds, foreign bank notes, and mobile banking services; services to collect payments or valuable documents; and Xpora, a digital solution for small and medium enterprises. It also provides business banking, funding, lending, trade finance, smart remittance, foreign direct investment, collection and liquidity management, payment management, supply chain financing, consumer financing, wealth management, and custody and trust services; financial institution products; solutions for indu…
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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.