Indian Overseas Bank (IOB) Fair Value & Analysis
Financial Services · IN · Market cap ₹634B
Analysis
Indian Overseas Bank (IOB) currently trades at ₹34.95, while our model-based Fair Value estimate is ₹36.58 — implying the stock looks roughly 4.7% undervalued today. We read business quality at 97/100 (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
Indian Overseas Bank provides various banking products and services in India and internationally. It operates through Treasury, Corporate/Wholesale Banking, Retail Banking, and Other Banking Operations segments. The company accepts various deposits, such as demand, savings, current, fixed, recurring, tax saver, and term deposits. Its loan products include home, vehicle, jewel, consumer durable, education, reverse mortgage, personal, agricultural, and corporate loans, as well as loan against the property and sovereign gold bond; and micro, small, and medium enterprise loans. It also provides debit and credit cards, export credit, NRI accounts, agricultural and rural banking products, mutual funds, lockers, merchant banking, and internet and mobile banking services; depository services; and life, health, personal accident, digital, and motor insurance products. It operates branches, ATMs, and business correspondents in India; and overseas branches in Singapore, Hong Kong, Colombo, and…
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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.