Key Financial Figures (Standalone)

Q2 FY27 Performance:

  • Gross AUM: ₹1,766.07 Cr (vs ₹1,599.23 Cr in Jun-26, +10.4% QoQ)
  • Disbursements: ₹590.51 Cr (vs ₹449.40 Cr in Q1 FY27)
  • Net Interest Income: ₹33.27 Cr (vs ₹35.16 Cr in Q1 FY27)
  • Profit Before Tax: ₹19.47 Cr (vs ₹18.82 Cr in Q1 FY27)
  • Profit After Tax: ₹15.06 Cr (vs ₹6.06 Cr in Q2 FY26, +148.5% YoY)

H1 FY27 Performance:

  • Net Interest Income: ₹68.44 Cr (vs ₹39.77 Cr in H1 FY26, +72.1% YoY)
  • Profit Before Tax: ₹38.29 Cr (vs ₹13.76 Cr in H1 FY26, +178.3% YoY)
  • Profit After Tax: ₹29.07 Cr (vs ₹10.17 Cr in H1 FY26, +185.8% YoY)

Balance Sheet (Sep-26):

  • Loan Book (AUM): ₹1,766.07 Cr
  • Total Borrowings: ₹1,745.71 Cr
  • Net Worth: ₹604.72 Cr
  • Total Assets: ₹2,396.90 Cr
  • Debt/Equity: 2.89×

Operational Highlights

Portfolio Composition (Sep-26):

  • Mediclaim Financing: ₹686.90 Cr (38.9% of AUM)
  • Salary Saathi: ₹90.61 Cr (5.1% of AUM)
  • MSME, Corporate & Other Loans: 36.9% of AUM
  • Climate Financing: 19.1% of AUM (in managed run-down)

Digital Lending Performance:

  • Digital products constitute 44.0% of total AUM (₹777.07 Cr)
  • Mediclaim Q2 disbursements: 45,178 loans
  • Salary Saathi Q2 disbursements: ₹65.79 Cr (+72.2% QoQ)
  • Live states for Salary Saathi: Rajasthan and Assam

Asset Quality:

  • Q2 FY27 Gross NPA: 1.77%
  • Q2 FY27 Net NPA: 1.50%

Cost and Efficiency Metrics:

  • Cost of Borrowings: 11.96% (Sep-26), targeting <10.5% by Mar FY27
  • CRAR: 27.73% (against 15% minimum requirement)
  • AUM per employee: ₹5.77 Cr (up from ₹4.36 Cr in Jun-26)
  • Headcount: 306 employees

Funding and Liquidity:

  • 35+ lenders (vs 32+ in Jun-26)
  • Borrowings mix: NCDs at 30.9% of borrowings (up from 20.2% in Mar-26)
  • NBFC & FI share reduced to 8.4% from 18.1%

Strategic Updates

  • Portfolio rebalancing towards Mediclaim and Salary Saathi products
  • Project Arthum launched for contract workforce lending (earned-wage backed, short duration)
  • Continued expansion of digital lending partnerships (10+ insurer integrations)