Fibe plans ₹750 crore raise to scale lending, AI and operations

Digital consumer-finance platform Fibe plans to raise ₹750 crore for its lending subsidiary, AI capabilities and scalable operations. It reported FY26 AUM of ₹8,603 crore, fresh disbursals of ₹7,614 crore and profit of ₹257 crore.

— Source publishedTue, 1 Sept, 2026, 18:10 IST·First seen Tue, 1 Sept, 2026, 20:45 IST·Source The Hindu BusinessLine

What happened

Indian digital consumer-finance platform Fibe plans to raise ₹750 crore to strengthen its lending subsidiary, AI capabilities and scalable operations. The

Key facts

  • ₹750 crore planned capital raise
  • 45% AUM CAGR
  • AUM ₹8,603 crore as of March 2026
  • AUM ₹4,064 crore as of March 31, 2024
  • FY26 profit ₹257 crore
  • FY25 profit ₹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 profitable, fast-growing consumer-finance platform could be a strategic partner or target for retail, fintech and financial-services players seeking digital lending and AI underwriting capabilities.

What to watch

  • Fundraise valuation, investor mix and whether the full ₹750 crore is closed.
  • Quarterly AUM growth, fresh disbursals and share of repeat versus new-to-credit borrowers.
  • Net interest margin, cost of funds, credit-cost trends, GNPA/NNPA and collection efficiency.
  • RBI guidance on unsecured personal loans, digital lending, FLDG arrangements and NBFC capital requirements.
  • Evidence that AI deployment reduces approval time, fraud, servicing cost or delinquency without weakening underwriting.
  • Competitive response from personal-loan fintechs, NBFCs and banks through pricing or pre-approved credit offers.
  • Complete the ₹750 crore fundraising with a mix of equity, strategic capital or long-term institutional investors.
  • Deploy capital toward the lending subsidiary, prioritizing repeat borrowers, salary-linked cohorts and lower-risk secured or semi-secured adjacencies.
  • Expand AI models for credit scoring, fraud controls, collections prioritization and customer-service automation.
  • Build scalable operations and lender partnerships to diversify funding beyond high-cost wholesale lines.
  • Use stronger capitalization to negotiate lower borrowing costs and broaden co-lending or bank/NBFC partnerships.