Growth vs. Credit Quality: India's Microfinance Reckoning
From βΉ1.1L Cr in 2017 to βΉ4.4L Cr at the Mar'24 peak β the sector quadrupled in 6.5 years. Post-COVID boom (FY22βFY24) was spectacular but unsustainable: borrower leverage soared, multi-lender exposure became endemic, PAR 31-180 quadrupled to 6.4% by Dec'24. Mar'26 marks the first QoQ growth (+3.2%) after eight consecutive declines. Early PAR buckets are below 1%. The write-off burden (16.3%) will shadow lenders 2β3 more quarters.
32 quarters Sep 2017βMar 2026 Β· Five annotated events that defined the cycle
β
Borrower leverage genuinely correcting. ~95% of portfolio with β€3-lender borrowers (vs 83.1% Sep'24). Borrowers with 5+ lenders: 36% YoY drop in exposure. Multi-lending β the root cause β is structurally unwinding.
π΄
Banks strategically exiting. Share 32.6%β26.4% in one year. ~8.3% reclassified from MFI to retail. Same borrowers, better PAR optics for banks, tighter funding for NBFC-MFIs.
β οΈ
PAR 180+ incl W/O at 16.3% β just started declining. Will compress as FY23-24 vintage loans age out. Credit costs remain elevated 2β3 more quarters for most lenders.
Originations Β· Disbursement Dynamics
From βΉ1.14L Cr Peak to βΉ52K Cr Trough β Now Recovering
Q4 FY24: βΉ1.14L Cr β the peak. Q1 FY26 (Jun'25): βΉ57,127 Cr β 50% collapse. Q4 FY26 (Mar'26): βΉ77,555 Cr, +25.8% QoQ. The recovery in originations is the primary driver of the Mar'26 portfolio rebound. Volume recovering slower than value β deliberate shift to larger, better-quality loans to existing customers.
A 4x in 6.5 years, then a -25% correction over 8 quarters. 9-year CAGR: ~13.1% (Sep'17 βΉ1.107L Cr β Mar'26 βΉ3.31L Cr). The portfolio correction was leverage-driven, not borrower-driven. Five regulatory events shaped the entire cycle β annotated on the chart.
GLP Quarterly β All 32 Quarters (βΉ Lakh Crore) with Regulatory Annotations
9-Year CAGR: ~13.1% Β· Five events that defined the cycle overlaid as vertical markers
QoQ GLP Growth (%)
Quarterly momentum across all 4 eras
YoY GLP Growth (%) β Mar'18 to Mar'26
Includes Dec'25 and Mar'26 Β· Full boom-bust visible
Portfolio Milestones Data-Backed
Jun 2018: 41.3% YoY. Avg balance/borrower up 28% YoY β first warning sign nobody heeded.
Mar 2020 β βΉ2.32L Cr: Pre-COVID peak. 23% YoY. Contracted just 2 quarters.
Mar 2022 β RBI Framework: Removed ticket size caps. Deregulated rates. Starting gun for the boom.
Mar 2024 β βΉ4.39L Cr (Peak): 8.7 Cr borrowers. 16.1 Cr loans. ATS βΉ48.2K. βΉ1.14L Cr in disbursements. One quarter later β the decline begins.
Aug 2024 β SRO Guardrails: Lender cap enforced. Fortnightly bureau submissions mandated. Multi-lending began structurally unwinding.
Sep 2024 β Karnataka Ordinance: PAR surged to 10.2% in Karnataka within one quarter. Regulatory risk = credit risk at state level.
Mar 2026 β βΉ3.31L Cr: +3.2% QoQ. First growth in 8 quarters. 9-year CAGR of 13.1% survives the correction.
Credit Quality Β· PAR & Write-Offs
The PAR Story: Slow Build, Fast Break, Gradual Heal
PAR 31-180 was ~1% in 2019. Stayed benign through COVID (moratorium helped). Then surged 2.0%β6.4% in 4 quarters (Dec'23βDec'24). Now healing: <1% in early buckets as of Mar'26. Write-offs climbed from 4.4% (Dec'21) to 17.3% peak (Dec'25) and have just turned at 16.3% in Mar'26.
PAR 1-30 (Mar'26)
0.6%
β from 1.4% Mar'25
PAR 31-90 (Mar'26)
0.8%
β from 2.7% Mar'25
PAR 91-180 (Mar'26)
1.2%
Best in 5 qtrs
PAR 1-180 (Mar'26)
2.6%
β from 7.6% Mar'25
PAR 180+ incl W/O
16.3%
β from 17.3% (first decline)
PAR 31-180 Peak
6.4%
Dec'24 Β· now 2.0%
PAR Delinquency β Full Series Mar'19 to Mar'26 (All Buckets incl. PAR 180+)
PAR 180+ shown from Dec'21 Β· Write-off series complete Β· All data points included
Write-Off Trend (PAR 180+ incl W/O) β Dec'21 to Mar'26
Ticket Size at Origination vs. PAR 31-180 (3-4 Quarter Lag) β The Leading Indicator
Bars = avg ticket size at origination Β· Line = PAR 31-180 in subsequent quarters Β· Ticket inflation leads stress by ~3-4 quarters
π΄
SFBs worst at peak stress (Dec'24): PAR 31-180 = 7.2%. Aggressive growth 2022-24, southern state concentration, disbursed to 3-4 lender borrowers. NBFCs (selective, existing-customer) came through at ~3.5%.
β
7-9 MOB PAR 30+ improving across all lender types. New originations since H2 FY25 performing cleanly. The incoming book is fundamentally healthier than the 2022-24 book.
Geography Β· State-Level Intelligence
83% of Portfolio. 10 States. 9 Years Unchanged.
Top 10 states = 82β84% of MFI portfolio every quarter across all 32 reports. Bihar + TN + UP = 38% alone. State-level regulatory or economic shocks transmit instantly to sector metrics. Karnataka proved this in Mar'25: PAR 31-180 went 4.5%β10.2% in one quarter.
India Microfinance Heatmap β Top 10 States
Hover over states for GLP, PAR 31-180, PAR 91-180, originations data. Toggle metric below.
Portfolio (βΉK Cr) β Mar'26
Grey = outside top 10
Top 10 States β Portfolio & Delinquency Detail
#
State
GLP Mar'26
Share
YoY
QoQ
PAR 31-180 Mar'25
PAR 31-180 Sep'25
PAR 31-180 Mar'26
PAR 91-180 Mar'26
Trend
GLP Share by State (Mar'26)
Bihar leads at 16% Β· Top 3 = 40%
State PAR 31-180 β Dec'24 Peak β Mar'26 Recovery
Karnataka peak 10.2% (Mar'25) Β· Most states now <3%
State GLP YoY Growth (Mar'26)
All top 10 still contracting YoY Β· UP and Bihar least affected
State GLP QoQ Growth (Mar'26)
9 of top 10 grew QoQ β broad-based recovery
Lender Dynamics
Banks Exit, NBFC-MFIs Fill the Vacuum
Mar'25βMar'26: NBFC-MFIs 38.9%β43.7% (+4.8pp), Banks 32.6%β26.4% (-6.2pp). ~βΉ23K Cr reclassified from MFI to retail by banks. NBFC-MFIs now carry 43.7% of a βΉ3.31L Cr sector. Their funding stack (bank credit lines) is the critical watch item.
Five regulatory events in 9 years fundamentally altered the sector's trajectory. Two accelerated the boom (2022 framework, rate deregulation). Three contained the bust (SRO guardrails, fortnightly bureau, lender caps). Understanding their sequencing is essential for the next cycle.
Five Defining Regulatory Events Policy Timeline
Nov 2016 β Demonetisation: Cash-based collections collapsed. PAR spiked. West Bengal never fully recovered its collections discipline. The shadow of this event persisted through 2018. But it also validated the sector's resilience β it recovered in 5 quarters.
Mar 2022 β RBI Microfinance Framework: Removed interest rate caps and ticket size ceilings. Replaced prescriptive limits with principle-based affordability guidelines. Intent: modernise regulation. Outcome: competitive land-grab. Each lender verified 50% EMI-to-income independently β without seeing other lenders. Aggregate leverage ballooned invisibly.
Aug 2024 β SRO Guardrails: MFIN (Self-Regulatory Organisation) mandated fortnightly bureau data submissions. Lender association caps introduced. Portfolio with β₯3-lender borrowers moved from 83.1% (Sep'24) to ~95% (Mar'26). This single intervention is the most important structural fix of the cycle.
Sep 2024 β Karnataka Ordinance: State government moved to regulate MFI collections/recovery practices. PAR 31-180 in Karnataka surged from 4.5% to 10.2% in a single quarter. Illustrates that regulatory risk in MFI is as material as credit risk, and state-level events can move sector metrics immediately.
Mar 2024 β RBI Guidance on Unsecured Loans: Increased risk weights on consumer credit and microfinance. Tightened banks' appetite for direct MFI lending and for funding NBFC-MFIs. This is the mechanism behind banks' portfolio share falling from 33%β26% in 24 months.
π
The next cycle's risk will come from where the current guardrails have blind spots. Lender caps are working for MFI exposure. But retail loan cross-exposure remains partially visible: 14.3% of MFI borrowers had active retail loans (Sep'24), and 37% of that cohort was in 30+ DPD. Retail+MFI aggregate leverage is the next monitoring gap to close.
β οΈ
The RBI 2022 framework removed the one constraint that kept ticket sizes honest. Without a ceiling, competition moved to ticket size rather than price. The affordability guideline (50% EMI/income) was gamed by multi-lender stacking. The next framework update should consider aggregate EMI-to-income verification via the bureau β not per-lender self-certification.
Forward Indicators Β· What to Watch Next
Dead-Cat Bounce or Real Recovery? Five Metrics That Will Answer It.
Mar'26 delivered the first QoQ portfolio growth in 8 quarters. But one quarter is not a trend. Every metric below is a real-time test of whether the structural repair is genuine β or whether the sector is papering over legacy stress with larger tickets and selective disbursals. Track these quarterly. Jun'26 data is the first real verdict.
Live Indicator Scorecard β Updated to Mar'26
Indicator 1
β GREEN
PAR 1-30 β The Leading Bucket
The first bucket to move in both directions β it led the deterioration in 2024 and is now leading the recovery. If it stays below 1% in Jun'26, the recovery is confirmed. If it creeps back above 1%, fresh stress is entering the book.
Dec'24 (Peak)
1.8%
Mar'26 (Now)
0.6%
Jun'26 Threshold
<1%
π Watch: Jun'26 PAR 1-30. Target β€1.0%. Currently tracking well at 0.6%.
Indicator 2
β WATCH
Value vs. Volume Divergence β Ticket Inflation Signal
In 2022β24, ticket inflation preceded the PAR surge by 3β4 quarters. The same pattern could re-emerge. Value recovering faster than volume is normal and healthy during initial recovery. But if avg ticket exceeds βΉ65K while volume stays depressed, the discipline lesson hasn't been learned.
Avg Ticket Mar'24
βΉ48.2K
Avg Ticket Mar'26
βΉ61.5K
Watch Ceiling
βΉ65K
π Watch: Avg ticket Jun'26. If β₯βΉ65K while volume still <120L loans, flag as early warning of repeat ticket inflation.
Indicator 3
π΄ AT RISK
NBFC-MFI Bank Funding Lines β The Recovery Ceiling
NBFC-MFIs now carry 43.7% of the sector but their origination capacity is directly constrained by bank credit lines. The Jun'25 report explicitly flagged "severe drop in bank funding to NBFC-MFIs." Banks exited the direct MFI book AND tightened lines simultaneously. Until this reopens, the recovery pace is structurally capped.
Banks' MFI Share
26.4%
β from 33.2% (Mar'24)
Bank YoY Growth
-29.8%
Mar'26 β still declining
π Watch: Banks' direct MFI portfolio QoQ growth in Jun'26. First positive quarter = funding sentiment turning. Also monitor NBFC-MFI cost of borrowing in their investor disclosures.
Indicator 4
β GREEN
5+ Lender Exposure β The Root Cause Monitor
The multi-lending problem that seeded the 2024 crisis is unwinding. But it must continue to compress β it cannot stabilise at current levels. If the 5+ lender cohort stops declining, it signals either guardrail enforcement is loosening or lenders are finding structural workarounds (e.g. retail product substitution for MFI).
Jun'24 (Peak crisis)
19.2%
β₯4 lender share
Jun'25
10.0%
β₯4 lender share
Mar'26 (est.)
~5%
β₯4 lender share
π Watch: β₯4 lender share in Jun'26. Should be <4%. Also watch β₯3 lender retail+MFI combined exposure β CRIF bureau data captures this cross-product view.
Indicator 5
β WATCH
Karnataka & West Bengal PAR β The Structural Outliers
These two states represent fundamentally different risk types. Karnataka is a regulatory risk story β PAR spiked on ordinance, must fully normalise. West Bengal is a structural collections discipline issue dating to 2016. Neither should be allowed to trend upward again. Both need to converge to pan-India average (~2%) and stay there for 2+ consecutive quarters.
Karnataka PAR 31-180
Peak Mar'25:10.2%
Sep'25:7.4%
Mar'26:2.0%
West Bengal PAR 31-180
Dec'24:3.3%
Sep'25:3.2%
Mar'26:2.4%
π Watch: KA needs to hold β€2.5% for 2 consecutive quarters to confirm full normalisation. WB must break below 2.0% β it hasn't been there in years.
Recovery Trajectory β Where Each Indicator Stands
Five Forward Indicators β Current Status vs. Recovery Threshold
Green bar = current level. Red dashed line = threshold that confirms recovery / flags re-stress. Lower is better for PAR metrics.
PAR 1-30 Trajectory β The Earliest Warning System
From 2.1% peak (Sep'24) β 0.6% (Mar'26). Must stay <1% through Jun'26 to confirm recovery.
Karnataka vs. West Bengal PAR 31-180 β Normalisation Watch
KA rapid recovery Β· WB persistent above pan-India average Β· Pan-India 2.0% shown as benchmark
From 19.2% (Jun'24) β ~5% (Mar'26). Must reach <4% Jun'26 to declare structural fix complete.
Value vs. Volume Recovery β Ticket Inflation Monitor
Healthy recovery: value and volume both growing. Watch divergence β rising value on flat volume = ticket inflation re-emerging.
Decision Framework β How to Read Jun'26 Data
β Bull Case: Recovery Confirmed
PAR 1-30 holds <1% Β· Origination volume recovering (β₯120L loans) without ticket exceeding βΉ65K Β· Bank credit lines to NBFC-MFIs stabilise or start reopening Β· β₯4 lender exposure falls to <4% Β· Karnataka & WB both below 2.5% PAR Β· GLP grows QoQ for second consecutive quarter
Implication: FY27 growth guidance credible. Sector has genuinely reset leverage. Capital allocation can move from "wait and watch" to "selective deployment." Lenders with <βΉ50K average ticket and β₯60% rural book are the value picks.
π΄ Bear Case: Dead-Cat Bounce
PAR 1-30 creeps above 1% in Jun'26 Β· Avg ticket exceeds βΉ65K while volume stagnates Β· Bank funding stays tight for NBFC-MFIs Β· Multi-lender exposure plateaus at 5β8% (guardrail gaming emerging) Β· Karnataka re-stress above 4% (new regulatory event) Β· GLP QoQ growth reverses in Jun'26
Implication: Mar'26 rebound was seasonal JFM effect, not structural. Credit costs remain elevated through FY27. PAR 180+ write-off burden peaks later than expected (~Q3 FY27). Reduce exposure to high-ticket, low-vintage books.
π―
The single most important number in Jun'26 is origination volume. Value is easy to inflate β just make bigger loans to existing borrowers. Volume requires either new borrower acquisition (risky right now) or sustained demand from existing borrowers (healthy). A volume recovery to β₯130L loans at <βΉ65K average ticket would be the cleanest possible signal that the sector has found its sustainable operating mode without reverting to ticket inflation.
β οΈ
The one risk this dashboard cannot fully capture: retail loan cross-exposure. 14.3% of MFI borrowers had active retail loans as of Sep'24 β and 37% of that cohort was already in 30+ DPD. As banks reclassify MFI loans as retail products (~8.3% of Mar'25 POS), the MFI PAR metrics look cleaner but the aggregate borrower stress doesn't change. Bureau-level retail+MFI combined PAR is the metric the sector needs, but doesn't yet publish consistently.
Complete Reference Dataset
32 Quarters of CRIF MicroLend Data
All data from CRIF High Mark MicroLend Vol I (Sep 2017) through May 2026 report (Mar'26 data). Borrower and loan counts updated with complete series Mar'24βMar'26.
Period
Era
GLP (βΉK Cr)
QoQ%
YoY%
PAR 31-180
PAR 180+ W/O
Borrowers (Cr)
Loans (Cr)
Disbursals (βΉCr)
π
Source: CRIF High Mark MicroLend Quarterly Series, Vol I (Sep 2017) β May 2026 Report (Mar'26 data). 32 consecutive quarterly publications. PAR 180+ incl. write-offs from Vol XXIX onwards. Borrower/loan counts Mar'24βMar'26 from CRIF MicroLend reports.