ICICI Bank Limited (IBN) Fair Value & Analysis
Financial Services · US · Market cap $100B
Fair value as of: Jun 25, 2026
Analysis
ICICI Bank Limited (IBN) currently trades at $29.00, while our model-based Fair Value estimate is $20.83 — implying the stock looks roughly 28.2% overvalued today. We read business quality at 96/100 (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
ICICI Bank Limited, together with its subsidiaries, engages in the provision of various banking and financial services to retail and corporate customers in India and internationally. The company operates through Retail Banking, Wholesale Banking, Treasury, Other Banking, Life Insurance, General Insurance, and Others segments. It offers savings, salary, pension, current, trade, escrow, foreign currency, and vostro accounts, as well as time, fixed, recurring, and security deposits. The company also provides home, car, two-wheeler, personal, education, gold, and commercial business loans, as well as loans against securities, shares, mutual funds, and property; working capital finance, term loans, collateral free loans, loans without financials, finance for importers and exporters, and overdraft facilities, as well as loans for new entities and card swipes; and credit, debit, prepaid, travel, forex, and corporate cards. In addition, it offers pockets wallet; fixed income products; inves…
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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.