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Banking & NBFC

India's Microfinance Crisis 2024-25: What Balance Sheets Are Really Hiding

8 min readMay 2026BBS Research
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Bihar, Uttar Pradesh, and Karnataka MFI portfolios showed stress not seen since the Andhra Pradesh crisis of 2010-11. The headline GNPA figures look manageable — until you dig into PAR60 and PAR90 data. Here is how to read MFI financials during a stress cycle.


India's microfinance sector — serving 7-8 crore borrowers with loans averaging ₹40,000-60,000 — went into a stress cycle in late 2024 that by early 2025 had created the most significant sectoral credit event since the Andhra Pradesh MFI crisis of 2010-11.

Why the Crisis Happened

The proximate cause was overleveraging. MFIN (Microfinance Institutions Network) data showed that by mid-2024, the average microfinance borrower had loans from 4.2 lenders simultaneously — up from 2.8 in 2022. When one lender saw stress, borrowers stopped paying others — the cascade began.

Reading PAR Data — Not Just GNPA

GNPA (Gross Non-Performing Assets) understates stress in the early stages of an MFI crisis because RBI's 90-day NPA recognition window allows deteriorating loans to stay off the NPA list for months. The leading indicator is PAR60 — Portfolio At Risk for more than 60 days. When PAR60 exceeds 4-5%, experienced MFI analysts begin stress-testing capital adequacy.

  • Average loans per MFI borrower: 4.2 lenders (mid-2024, MFIN data)
  • Stressed states: Bihar, UP, Karnataka, Jharkhand
  • PAR60 in stressed portfolios: 7-9% (vs sector average 3-4%)
  • RBI response: tightened household income limits for MFI lending
  • Provision coverage ratio (healthy MFIs): 80%+

🔍 BBS Insight

Never rely on GNPA alone when analysing MFIs during a stress cycle. GNPA is a lagging indicator — by the time it spikes, the stock has already fallen 40-60%. The right metrics are PAR30 and PAR60 (leading), provision coverage (defensive buffer), and geographic concentration of AUM. MFIs with higher southern India exposure (Karnataka, Tamil Nadu, Andhra) tend to be more resilient than those with high Bihar-UP exposure — the credit culture and social enforcement mechanisms differ significantly.

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Terms used in this article
Net Interest MarginOCF/PAT RatioDebt-to-EquityInterest Coverage RatioAltman Z-Score

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