Dhanlaxmi Bank Limited (DHANBANK) Fair Value & Analysis
Financial Services · IN · Market cap ₹12.7B
Fair value as of: Jun 29, 2026
Analysis
Dhanlaxmi Bank Limited (DHANBANK) currently trades at ₹32.00, while our model-based Fair Value estimate is ₹33.84 — implying the stock looks roughly 5.8% 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
Dhanlaxmi Bank Limited provides various banking and financial services in India. The company operates through Treasury Operations, Corporate/Wholesale Banking, Retail Banking, and Other Banking Business Operations segments. It offers deposit products, such as savings and current accounts, and term deposits; loans, including personal, home, new and used car, two wheeler, commercial, gold, education, business, and green loans, as well as loans against securities and properties, and lease rental discounting; and foreign exchange services comprising foreign currency cash, cheque deposits, foreign currency demand drafts, and remittances. The company also provides export and import services; credit products comprising industrial and trade advance, import export assistance, and agricultural assistance; corporate salary; credit treasury bills and linked loans; trade finance, electronic bank guarantees, and liberalized remittance schemes; 3 in 1 trading accounts; and mutual funds investment …
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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.