Bandhan Bank launches four Mastercard cards, targeting up to 10m customers
Bandhan Bank is entering credit cards with four Mastercard variants, tapping its 32 million-customer base as it pushes toward a more secured loan mix. The upside is cross-sell and spending growth; the risk is maintaining underwriting discipline as it adds unsecured exposure.
What happened
Bandhan Bank launched four Mastercard credit cards, using its 32 million-customer base to expand unsecured retail lending while shifting its loan book toward
Key facts
- Four Mastercard credit-card variants launched
- Stock up about 4.5% in two trading sessions
- Secured advances rose to 56.8% of book from 52.1% a year earlier
- Secured advances targeted at 60% of book
- Credit cost fell to 1.8% in Q1FY27
- FY27 credit-cost guidance: 1.6-1.8%
- Gross NPA declined to 3.1% from 5% in Q1FY26
- July card transaction volumes rose 24.5% year-on-year
- Average transaction value fell nearly 14% to about ₹3,440
- Bandhan has 32 million customers
- Potential credit-card target: around 10 million customers
- Valuation: 0.9 times FY28 estimated book value
Why this matters
The Mastercard partnership gives Bandhan Bank a platform to broaden its payments ecosystem, making co-brand, merchant-offer and fintech servicing alliances logical next steps.
What to watch
- Number of cards issued versus active cards and 30/90-day activation rates.
- Monthly spend per active card, merchant-category mix and share of revolving balances.
- Credit-card gross and net NPA rates, 30+ and 90+ days-past-due cohorts, and provisioning trends.
- Credit-cost guidance and management commentary on unsecured-loan mix targets.
- Customer-acquisition cost, rewards expense and card-business break-even timeline.
- RBI guidance on unsecured consumer credit risk weights, card practices or provisioning requirements.
- Evidence that card customers increase deposits, insurance purchases or use of other Bandhan products.
- Prioritize pre-approved card offers for existing customers with established repayment histories and deposit relationships.
- Use Mastercard transaction data and bank account behavior to build segment-specific credit limits, rewards and early-warning collections models.
- Bundle cards with savings accounts, fixed deposits, insurance and merchant offers to raise activation and recurring spend.
- Expand distribution through mobile banking, branches and assisted onboarding while limiting incentive-led acquisition.
- Calibrate credit-limit increases to observed repayment and spend behavior rather than initial acquisition targets.