Fibe plans ₹750 crore raise to expand lending, AI and technology capabilities

Digital consumer-financing platform Fibe plans to raise ₹750 crore for its lending subsidiary and technology investments. It reported ₹8,603 crore in AUM, ₹7,614 crore in fresh FY26 disbursals and ₹257 crore in profit.

— Source publishedTue, 1 Sept, 2026, 18:10 IST·First seen Tue, 1 Sept, 2026, 19:47 IST·Source The Hindu BusinessLine

What happened

Indian digital consumer-financing platform Fibe plans to raise ₹750 crore to strengthen its lending subsidiary, technology and AI capabilities. The company

Key facts

  • ₹750 crore planned capital raise
  • 45% AUM CAGR
  • AUM of ₹8,603 crore as of March 2026
  • AUM of ₹4,064 crore as of March 31, 2024
  • FY26 profit of ₹257 crore
  • FY25 profit of ₹114 crore
  • 1.31 million loan applications processed monthly in FY26
  • ₹7,614 crore fresh disbursals in FY26
  • 15.74 million unique applicants in FY26
  • 2.02 million applicants approved

Why this matters

Fibe’s financing and AI investment agenda could make it a more capable partnership or acquisition target for retail, fintech and consumer platforms seeking embedded credit capabilities.

What to watch

  • Announcement of lead investors, instrument structure, valuation and timing of the ₹750 crore fundraise.
  • Quarterly changes in AUM growth, fresh disbursals, net interest margins, cost of funds and profit.
  • Delinquency, write-off, collection-efficiency and provisioning trends in unsecured personal-loan cohorts.
  • RBI guidance affecting digital lending, first-loss arrangements, customer acquisition practices or NBFC capital requirements.
  • New bank/co-lending agreements and evidence that AI deployment reduces approval times, fraud or collection costs.
  • Competitive pricing and funding activity from other Indian digital lenders and consumer-finance NBFCs.
  • Target a mix of equity and structured capital to support the lending subsidiary without materially straining leverage.
  • Increase partnerships with banks, NBFCs, employers and merchant platforms to source borrowers and diversify funding.
  • Deploy AI investment toward credit scoring, fraud detection, collections prioritization and customer-service automation.
  • Expand cross-sell of longer-tenure loans, insurance and embedded-finance products to improve revenue per customer.
  • Emphasize asset-quality metrics, provisioning discipline and profitability to distinguish itself amid scrutiny of unsecured lending.