PT Bank Rakyat Indonesia (Persero) Tbk (BKRKY) Fair Value & Analysis
Financial Services · US · Market cap $25.8B
Analysis
PT Bank Rakyat Indonesia (Persero) Tbk (BKRKY) currently trades at $7.65, while our model-based Fair Value estimate is $15.30 — 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 Rakyat Indonesia (Persero) Tbk provides various banking products and services in Indonesia and internationally. The company offers savings and current accounts; time, foreign currency time, and on-call deposits; mortgage, working capital, investment, franchise, and cash collateral loans, as well as supply and value chain financing and bank guarantees; and microphone, small and medium, and program loans. It also provides bill payment, deposit, online transaction, remittance, money transfer, business, financial, institutional, treasury and global, custodian, trustee, and cash management services. In addition, the company offers investment products and services; trade finance and services, and transaction banking services, including import and export, standby L/C, money changer, BRI RTE online system services, as well as letters of credit; credit cards; and wealth management, merchant, and digital banking services. Further, it provides life and general insurance, securities und…
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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.