32 Quarterly Reports  |  Sep 2017 – Mar 2026
Latest: Mar'26  |  Senior Portfolio Manager View
πŸ“Š Overview
πŸ’Έ Originations
πŸ“ˆ Portfolio
⚠️ Credit Quality
πŸ—ΊοΈ Geography
🏦 Lenders
πŸ‘₯ Borrowers
πŸ›‘οΈ Guardrails
πŸ”­ Forward Indicators
πŸ—‚ Data Table
Nine-Year Narrative Β· Sep 2017 – Mar 2026

Growth vs. Credit Quality: India's Microfinance Reckoning

From β‚Ή1.1L Cr in 2017 to β‚Ή4.4L Cr at the Mar'24 peak β€” the sector quadrupled in 6.5 years. Post-COVID boom (FY22–FY24) 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 2–3 more quarters.

The Four Eras (2017–2026)
Era I β€” Recovery
Sep 2017 – Mar 2020
Post-demonetisation rebuild. GLP: ₹1.1L→₹2.3L Cr. PAR ~1%. 5.6 Cr borrowers Mar'19.
Era II β€” COVID & Rebound
Jun 2020 – Mar 2022
Only 2 quarters of shrinkage. RBI 2022 framework deregulated rates β€” ignited the boom.
Era III β€” Boom & Bust
Jun 2022 – Sep 2024
GLP: ₹3.0L→₹4.4L Cr (+47%). Loans/borrower hit 2.07x. Avg ticket +85%. PAR 1%→6.4%.
Era IV β€” Recalibration
Dec 2024 – Mar 2026
Portfolio corrected ~25%. PAR 1-90 <1%. NBFC-MFIs 43.7%. First growth Mar'26: +3.2%.
Snapshot β€” Mar 2026
GLP Outstanding
β‚Ή3.31L Cr
↓ 13.2% YoY  |  ↑ 3.2% QoQ
vs. Peak (Mar'24)
β‚Ή4.39L Cr
↓ 24.6% from peak
Active Borrowers
6.9 Cr
↓ from peak 8.7 Cr (Mar'24)
Active Loans
10.7 Cr
↓ from peak 16.1 Cr (Mar'24)
PAR 1-90
<1%
↓ All buckets healed
PAR 91-180
1.2%
Best in 5 quarters
PAR 180+ incl W/O
16.3%
↓ from 17.3% β€” first decline
NBFC-MFI Share
43.7%
↑ from 38.9% Mar'25

Gross Loan Portfolio β€” 9-Year Arc (β‚Ή Lakh Crore) with Key Regulatory Events

32 quarters Sep 2017–Mar 2026 Β· Five annotated events that defined the cycle
βœ…
Borrower leverage genuinely correcting. ~95% of portfolio with ≀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.
πŸ”΄
Banks strategically exiting. Share 32.6%β†’26.4% in one year. ~8.3% reclassified from MFI to retail. Same borrowers, better PAR optics for banks, tighter funding for NBFC-MFIs.
⚠️
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 2–3 more quarters for most lenders.
Originations Β· Disbursement Dynamics

From β‚Ή1.14L Cr Peak to β‚Ή52K Cr Trough β€” Now Recovering

Q4 FY24: β‚Ή1.14L Cr β€” the peak. Q1 FY26 (Jun'25): β‚Ή57,127 Cr β€” 50% collapse. Q4 FY26 (Mar'26): β‚Ή77,555 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.

Q4 FY26 (Mar'26)
β‚Ή77,555 Cr
+25.8% QoQ Β· 126.1L loans
Peak β€” Q4 FY24
β‚Ή1.14L Cr
-32% from peak
Trough β€” Q1 FY26
β‚Ή57,127 Cr
-28.2% YoY Β· -20.3% QoQ
Avg Ticket Mar'26
β‚Ή61.5K
+18.3% YoY
NBFC-MFI share Q4 FY26
~47%
Largest lender Β· growing
7-9 MOB PAR 30+
Improving
New book quality: clean

Quarterly Disbursements β€” Value (β‚Ή Cr) & Volume (Lakh Loans) | Dual Axis

Bars = disbursement value (β‚Ή Cr) Β· Line = loans disbursed (lakh) Β· Peak Q4 FY24 highlighted red Β· Recovery Q3-Q4 FY26 green

Average Ticket Size at Origination (β‚ΉK)

Ticket inflation was the leading indicator of credit stress β€” not a lagging one

Ticket Size Mix β€” Originations Value Share (%)

Shift from ≀₹50K to β‚Ή50K+ reflects both de-risking and larger existing-customer loans

Lender-Wise Originations Value β€” Quarterly Trend

NBFC-MFIs dominant Β· Banks retreating Β· NBFCs most resilient in downcycle
Portfolio Growth Β· Full Cycle

β‚Ή1.1L Cr β†’ β‚Ή4.4L Cr β†’ β‚Ή3.3L Cr: The Complete Arc

A 4x in 6.5 years, then a -25% correction over 8 quarters. 9-year CAGR: ~13.1% (Sep'17 β‚Ή1.107L Cr β†’ Mar'26 β‚Ή3.31L 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 (β‚Ή 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

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%β†’6.4% in 4 quarters (Dec'23–Dec'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%
↓ from 1.4% Mar'25
PAR 31-90 (Mar'26)
0.8%
↓ from 2.7% Mar'25
PAR 91-180 (Mar'26)
1.2%
Best in 5 qtrs
PAR 1-180 (Mar'26)
2.6%
↓ from 7.6% Mar'25
PAR 180+ incl W/O
16.3%
↓ 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

From 4.4% (Dec'21) β†’ 17.3% peak (Dec'25) β†’ 16.3% Mar'26 (first decline)

PAR Recovery: All Buckets (Mar'25 β†’ Mar'26)

Early buckets healed fast Β· PAR 180+ just turned

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
πŸ”΄
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%.
βœ…
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 = 82–84% 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%β†’10.2% 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.
Bihar U.P. W.B. T.N. KA MH M.P. OD Raj. JH India β€” Top 10 MFI States Highlighted
Portfolio (β‚ΉK Cr) β€” Mar'26
Grey = outside top 10
Top 10 States β€” Portfolio & Delinquency Detail
#StateGLP Mar'26ShareYoYQoQ PAR 31-180 Mar'25PAR 31-180 Sep'25PAR 31-180 Mar'26PAR 91-180 Mar'26Trend

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'25β†’Mar'26: NBFC-MFIs 38.9%β†’43.7% (+4.8pp), Banks 32.6%β†’26.4% (-6.2pp). ~β‚Ή23K Cr reclassified from MFI to retail by banks. NBFC-MFIs now carry 43.7% of a β‚Ή3.31L Cr sector. Their funding stack (bank credit lines) is the critical watch item.

NBFC-MFIs (Mar'26)
43.7%
↑ +8.3% QoQ Β· -2.6% YoY Β· β‚Ή144.6K Cr
Banks (Mar'26)
26.4%
↓ -29.8% YoY Β· β‚Ή87.4K Cr
SFBs (Mar'26)
15.6%
↓ -7.2% QoQ Β· -13.5% YoY Β· β‚Ή51.8K Cr
NBFCs (Mar'26)
13.0%
+1.3% QoQ Β· Most resilient PAR

Lender Mix β€” Portfolio Share Evolution (Mar & Sep, Key Years)

Hover for % share Β· Structural rotation: Banks exit, NBFC-MFIs absorb Β· SFBs volatile

Lender YoY GLP Growth β€” Mar'25 vs Mar'26

NBFC-MFIs: -2.6% vs Banks: -29.8% β€” divergence tells the whole story

Lender QoQ GLP Growth β€” Dec'25 vs Mar'26

NBFC-MFIs +8.3% driving recovery Β· SFBs -7.2% still contracting

PAR 31-90 by Lender β€” Recovery Arc (Mar'25β†’Mar'26)

Near-convergence by Mar'26 Β· Banks still highest Β· NBFCs lowest throughout

Lender-Wise Originations Value Share (%) β€” Quarterly Trend

NBFC-MFIs maintaining ~40%+ share Β· Banks and SFBs retreating
Borrower Analysis

The Borrower Is Intact. The Leverage Was Not.

Borrowers: 4.5 Cr (Mar'18) → 8.7 Cr (Mar'24) → 6.9 Cr (Mar'26). Loans: 9.6 Cr (Mar'19) → 16.1 Cr (Mar'24) → 10.7 Cr (Mar'26). The deleveraging is happening where it should: loans per borrower collapsing (2.07x→1.55x), not borrowers leaving.

Borrowers Mar'24 (Peak)
8.7 Cr
Peak borrower count
Borrowers Mar'26
6.9 Cr
↓ -20.7% from peak
Loans Mar'24 (Peak)
16.1 Cr
Peak loan count
Loans Mar'26
10.7 Cr
↓ -33.5% from peak
Loans/Borrower Mar'24
1.85x
Highest leverage
Loans/Borrower Mar'26
1.55x
↓ Normalising towards 1.6-1.7x

Active Borrowers (Crore) β€” Full Series

Resilient through COVID and 2024-25 stress Β· Peak Mar'24 8.7 Cr

Active Loans (Crore) β€” Full Series

Loans peaked at 16.1 Cr Mar'24 Β· Deleveraging faster than borrower count

Loans vs. Borrowers β€” Leverage Gap

When loans/borrowers crossed 2.0x in Jun'23, systemic risk was already embedded

Multi-Lender Exposure β€” Portfolio Share β‰₯4 Lenders

19.2% (Jun'24) β†’ 10.0% (Jun'25) β†’ ~5% (Mar'26) β€” guardrails working
Regulatory & Structural Guardrails

The Policy Architecture That Shaped the Cycle

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

πŸ“Š
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.
⚠️
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
βœ“ 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%
πŸ“Œ Watch: Jun'26 PAR 1-30. Target ≀1.0%. Currently tracking well at 0.6%.
Indicator 2
⚠ WATCH
Value vs. Volume Divergence β€” Ticket Inflation Signal
In 2022–24, ticket inflation preceded the PAR surge by 3–4 quarters. The same pattern could re-emerge. Value recovering faster than volume is normal and healthy during initial recovery. But if avg ticket exceeds β‚Ή65K while volume stays depressed, the discipline lesson hasn't been learned.
Avg Ticket Mar'24
β‚Ή48.2K
Avg Ticket Mar'26
β‚Ή61.5K
Watch Ceiling
β‚Ή65K
πŸ“Œ Watch: Avg ticket Jun'26. If β‰₯β‚Ή65K while volume still <120L loans, flag as early warning of repeat ticket inflation.
Indicator 3
πŸ”΄ 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%
↓ from 33.2% (Mar'24)
Bank YoY Growth
-29.8%
Mar'26 β€” still declining
πŸ“Œ 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
βœ“ 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
πŸ“Œ 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
⚠ 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%
πŸ“Œ Watch: KA needs to hold ≀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

Multi-Lender Exposure Unwind (β‰₯4 Lender Portfolio Share)

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
βœ… Bull Case: Recovery Confirmed
PAR 1-30 holds <1% Β· Origination volume recovering (β‰₯120L loans) without ticket exceeding β‚Ή65K 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 <β‚Ή50K average ticket and β‰₯60% rural book are the value picks.
πŸ”΄ Bear Case: Dead-Cat Bounce
PAR 1-30 creeps above 1% in Jun'26 Β· Avg ticket exceeds β‚Ή65K while volume stagnates Β· Bank funding stays tight for NBFC-MFIs Β· Multi-lender exposure plateaus at 5–8% (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.
🎯
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 <β‚Ή65K average ticket would be the cleanest possible signal that the sector has found its sustainable operating mode without reverting to ticket inflation.
⚠️
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'24–Mar'26.

PeriodEraGLP (β‚ΉK Cr)QoQ%YoY% PAR 31-180PAR 180+ W/OBorrowers (Cr)Loans (Cr)Disbursals (β‚ΉCr)
πŸ“Œ
Source: CRIF High Mark MicroLend Quarterly Series, Vol I (Sep 2017) – May 2026 Report (Mar'26 data). 32 consecutive quarterly publications. PAR 180+ incl. write-offs from Vol XXIX onwards. Borrower/loan counts Mar'24–Mar'26 from CRIF MicroLend reports.