Consumer digital credit in India, 2026: what borrowers do and why, from 2,282 coded decisions in ten languages, checked against the lenders' own filings. With eight behavioural cohorts from 3,320 borrower voices.
Built from 2,282 borrower decisions in ten languages and 3,320 borrower profiles (October 2025–October 2026), checked against lenders' own filings.
Of lender-refusal events give no reason the borrower can repeat
25%
Of lender-refusal events involve an existing borrower
26%
Of repeat applicants declined by one listed lender despite a positive repayment record
OnEMI Technology Solutions (Kissht), Red Herring Prospectus [2]
29%
Of warning events cite trust
Vs 6% citing the interest rate
Evidence basis: what borrowers say they did and why, in their own words, from public app reviews and online discussion in ten languages. External data is cited in the report.
In borrowers' words
What borrowers are saying
“
after paying there showing now try after 6 months
Refused right after repaying a loan“
సివిల్స్ బాగున్నా కానీ నా లోన్ తిరస్కరించారు
Even though my CIBIL is good, they rejected my loan.
Refused despite a good credit score, in Telugu“
limit was shown zero after paying the payment on time also
A credit limit cut to zero after paying on time“
कोई भी इस एप को डाउनलोड न करो आपके साथ धोका हो सकता है
Nobody should download this app, you could be cheated
Warning others off a lending app, in Hindi
01
A lender refusing is the most common thing borrowers describe
Digital NBFCs, the lenders behind most loan apps, sanctioned 3.4 crore of India's 4.9 crore personal loans in April–June 2026 1. Across 2,282 borrower decisions coded from public reviews and discussion in ten languages, a lender refusing is the event borrowers describe most often (27% of decision events), ahead of taking a loan, closing one or recommending an app.
Six theses
01
Lenders say no without saying why.
80% of refusal events give no reason. Where one is given, it is most often the credit score (60% of refusals that give a reason). One listed lender discloses deciding on model scores, leverage and device signals that are hard to explain.
02
Repeat borrowers get most of the lending and appear in about a quarter of refusals.
Repeat or existing borrowers make up 51–80% of the books or new lending of the lenders reviewed (definitions differ), and about a quarter of refusal events involve them.
03
Trust leads warnings, ahead of price.
Trust and legitimacy are named in 29% of warnings; fees and the rate together in 20%.
04
Speed is what borrowers value most.
It is the one dimension borrowers rate mostly positively (67%) and the most common named reason for taking a loan.
05
Cards and payment apps refuse borrowers too.
38% of card-credit events are refusals, and one payment app discloses approval rates of 1–4%.
06
Secured credit is growing fast, but borrowers rarely say they switched to it.
Bajaj Finance's gold-loan book more than doubled 3 and gold loans across lenders grew about 50% 4, yet stated switching is almost absent from the evidence.
How to read the numbers
Shares name their object: "% of refusal events", "% of borrower opinions". They are shares of coded evidence, never shares of borrowers or of the market.
App reviews were sampled evenly across star ratings, and critical reviews carry more decisions: 67% of review-based events come from one- and two-star reviews. Read the mix of events as the range of experiences, not their prevalence. Comparisons within one event type, and between apps sampled the same way, hold up better.
02
Small tickets, app lenders, and a lender behind the brand
Digital NBFCs sanctioned 3.4 crore personal loans worth ₹64,656 crore in April–June 2026, out of 4.9 crore loans worth ₹2.99 trillion across all lenders: 70% of personal loans by count and 22% by value, at an average ticket of ₹18,802 1. Digital personal loans were about 15% of unsecured personal-loan sanctions in FY26, roughly ₹2.2 trillion of ₹14.8 trillion 5.
Exhibit 1
Digital NBFCs make most personal loans by count, a fifth by value
Share of personal loans by count
70%
Share of personal loans by value
22%
Exhibit 2
Average personal-loan ticket by lender type, April–June 2026
Digital NBFCs
₹18,802
Other NBFCs
₹70,025
Banks
₹4.52 lakh
Small loans are where the risk sits. Fintechs held 56.8% of personal loans under ₹50,000 in March 2026, and delinquency in that segment was 6.4% 6. A year earlier the RBI found that about two in three recent personal-loan borrowers already had more than three live loans when they took a new one 7.
The brand a borrower names is usually not the lender
Of the 32 lending apps and brands tracked here, 26 are platforms that arrange loans for regulated lenders rather than lend only from their own books. A third-party copy of the RBI's directory of digital lending apps lists up to 23 regulated lenders against a single app name 8. When a borrower says "the app rejected me", the decision often belongs to a bank or NBFC the borrower may never have heard of. Many apps also give that lender a first-loss guarantee, capped at 5% of the portfolio 5; others, such as Paytm for personal loans, do not 9.
Exhibit 3
Lenders behind the app: how many regulated lenders list the same brand
Paytm
23
BharatPe
15
Moneyview
14
KreditBee
14
Fibe
11
MobiKwik
11
CRED
10
Regulation tightened every year since 2022
Date
Change
Aug 2022
RBI digital lending guidelines: key fact statement, cooling-off period, disbursal and repayment only between borrower and lender 10.
Jun 2023
First-loss guarantees from apps to lenders capped at 5% of the portfolio 5.
Nov 2023
Risk weights on consumer credit raised from 100% to 125%. Growth in banks' other personal loans fell from 20.8% to 9.2% between January 2024 and January 2025 11. Paytm cut loans under ₹50,000 by about half 12.
Oct 2024
RBI barred four NBFCs, Navi among them, from new lending over excessive pricing and fee disclosure failures 13; the restriction on Navi was lifted in December 2024 14.
May 2025
Digital Lending Directions consolidate the rules 10; apps working with several lenders must show borrowers all matching offers 5.
Jul 2025
RBI public directory of digital lending apps goes live 10. By December 2025 the government had blocked 87 illegal loan apps 15.
Jan 2026
Personal-loan apps must be on the RBI list to stay on the main Android app store 16.
03
Lender filings: most lending goes to repeat borrowers
In the lenders' filings, most of the leading app lenders' lending now goes to people who have borrowed before, and at least one declines a large minority of those people anyway.
Exhibit 4
Repeat and existing borrowers, as disclosed by lenders
Swipe the table sideways to see every column.
Lender
Measure
From
To
Moneyview
repeat share of managed AUM
42% (FY24)
63% (Jun 2026)
Bajaj Finance
existing customers’ share of new loans
58% (FY25)
68% (Q1 FY27)
Kissht
repeat share of AUM, as it widened intake
87% (FY23)
51% (Dec 2025)
Credit losses are high and partly hidden. Moneyview's annualised losses were 6.9% of average AUM in April–June 2026 5. Northern Arc's consumer book behind the apps reported gross NPAs of 0.2–0.5% between March 2025 and June 2026 but a credit cost of 4.9–6.1%, because the apps' first-loss guarantees absorb losses before they show as bad loans 18. Moneyview carries ₹1,061 crore of such guarantees, 44% of its net worth 5. Where a guarantee is in place, the app as well as the lender has a reason to refuse a borrower.
Exhibit 5
One listed lender’s approval rates: new applicants against repeat customers
New applicants approved
11.2%
Repeat customers approved
73.5%
Repeat customers declined
26.5%
Lenders say they tightened after 2023. Bajaj Finance cut the share of applicants holding three or more live unsecured loans from about 13% to 9–10% of intake and is "pruning segments" 19. Moneyview "tightened assessment thresholds" in FY25 5. MobiKwik exited short-tenure pay-later lending that had run at about ₹2,500 crore a quarter 20.
Exhibit 6
Lenders moving towards lower-risk borrowers
Swipe the table sideways to see every column.
Lender
Measure
From
To
Bajaj Finance
intake with 3+ live unsecured loans
13% (peak)
10% (FY25)
Kissht
borrowers scoring below 700
10% (FY23)
5% (Dec 2025)
Kissht
borrowers scoring above 760
7% (FY23)
21% (Dec 2025)
04
Most of what borrowers report is a lender saying no
Coded borrower decisions fall along a ladder: considering, applying, being approved, drawing money, and borrowing again. In this evidence the refusal is the lender's decision in 98% of cases; borrowers walking away before applying or turning down an offer are rare.
Exhibit 7
What borrowers report, as a share of coded decision events
Lender refused
27%
Warns others off
14%
Took a loan
12%
Closed a loan
10%
Applied
8%
Recommends
6%
Considering
6%
Approved (not yet drawn)
6%
Missed a payment
2%
Borrowed again, same lender
2%
Borrows routinely
2%
Left the lender
1%
Exhibit 8
Who said no, as a share of refusal events
The lender
98%
The borrower, before applying
2%
The borrower, after an offer
0%
Approvals without a stated disbursal are 6% of decision events and loans received 12%. The coding never moves a borrower up a rung on inference: "approved in two minutes" is an approval, not a loan.
Free sample from the full report
What borrowers describe most: a lender saying no
Exhibit 7
What borrowers report, as a share of coded decision events
Lender refused
27%
Warns others off
14%
Took a loan
12%
Closed a loan
10%
Applied
8%
Recommends
6%
Considering
6%
Approved (not yet drawn)
6%
Missed a payment
2%
Borrowed again, same lender
2%
Borrows routinely
2%
Left the lender
1%
24 more sections in the full report
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Ask the cohort
The segments that move this market
6 segments, each defined by what people want and measured by what they do against the whole market. Here are 2 of them; the full Brain opens every one and lets you ask them your own questions.
Segment
Convenience regular
The relationship that works: 2.7× the market’s repayment history and 2.2× as likely to recommend. Speed and low friction keep them.
4.8×Chose for low cost more often than the market
4×Calls it a lifeline more often than the market
“would recommend it for a convenient loan service”
Segment
Locked-out loyalist
Proven payers who hit a wall: refused after repaying, they keep trying the same lender 3× as often as the market, and 1.7× as many start shopping around.
5.2×Borrow as a routine more often than the market
4.2×Gives up on credit or the app more often than the market
“i paid all the dues and full settlement still my borrow limit is zero”
In the full BrainTrap spotter
In the full BrainApplicant owed an answer
In the full BrainStretched borrower
In the full BrainBetrayed leaver
Open all 6 segments and ask them your own questions
What each segment does more, and less, than the rest of the market
Who counts in each one, so you can find them in your own data
Answers from that segment's evidence alone, with the quotes behind them
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Also in this Brain, not yet open for questions: Lifeline borrower · Payment-feature user.