Credit cards lose ground as small-ticket personal loans gain traction: CIBIL

The Indian consumer-credit landscape is undergoing a noticeable shift. Recent data from TransUnion CIBIL shows that, while credit-card outstanding balances have plateaued or even dipped in certain segments, small-ticket personal loans (STPLs) – typically ranging from ₹5,000 to ₹50,000 – are gaining momentum. For investors and traders who track the NSE, Sensex, and sectoral indices, this trend has implications for banks, non-banking financial companies (NBFCs), fintech platforms, and payment-processing firms. The following analysis unpacks the CIBIL findings, explores the forces behind the change, examines sector-wise impacts, and shows how Downstox tools can be used to monitor relevant stocks – all presented strictly for educational purposes.

1. CIBIL's Snapshot: Credit Cards vs. Small-Ticket Personal Loans

TransUnion CIBIL's quarterly retail-credit report for Q2 2026 highlighted two contrasting movements:

Metric (Q2 2026)	Credit Cards	Small-Ticket Personal Loans
Outstanding balance (₹ lakh crore)	4.2 (flat YoY)	2.8 (+18% YoY)
New accounts opened (million)	12.3 (-4% YoY)	9.7 (+22% YoY)
Avg. ticket size (₹)	45,000	18,000
30-day delinquency rate	3.9%	2.6%
Share of total retail credit	28%	19%

Numbers are illustrative based on CIBIL's published aggregates; actual figures may vary.

The table shows that while credit-card balances have remained largely stagnant, the volume and value of STPLs have risen sharply. Delinquency rates on STPLs are lower than those on credit cards, suggesting that borrowers are finding these loans easier to service – at least in the current macro environment.

For market participants, the shift is relevant because:

• Banks derive a significant portion of fee-based income from card interchange and annual fees. A slowdown in card usage can pressure those revenue streams.
• NBFCs and fintech lenders have been aggressive in sourcing STPLs through digital channels, often partnering with banks under co-lending models.
• Payment processors (e.g., NPCI-linked UPI players) may see a shift in transaction mix if consumers move from card-based spends to loan-funded purchases.

2. Why Credit Cards Are Losing Ground

Several inter-related factors explain the relative stagnation of credit-card growth in 2026:

2.1 Regulatory Tightening on Interest Rates and Fees

The Reserve Bank of India (RBI) introduced caps on credit-card interest rates in late 2025, limiting the annual percentage rate (APR) to 36% for most consumer cards. Simultaneously, limits on late-payment fees and over-limit charges were reinforced. While these measures aim to protect consumers, they compress the profitability of card issuers, prompting some banks to tighten underwriting or reduce promotional offers.

2.2 Rising Cost of Revolving Credit

With the RBI's repo rate holding steady at 6.5% through most of 2026, banks' cost of funds has risen. Credit-card APRs, even after the cap, remain higher than the rates offered on many personal-loan products, especially those sourced through fintech platforms that leverage alternative data for risk pricing. Consequently, cost-conscious consumers are opting for cheaper installment options.

2.3 Shift in Spending Behaviour

Post-pandemic, Indian consumers have shown a preference for "buy now, pay later" (BNPL) style arrangements for discretionary purchases such as electronics, fashion, and home-improvement items. Many BNPL offerings are structured as small-ticket personal loans rather than revolving credit, providing fixed repayment schedules that are easier to budget.

2.4 Card-Fatigue and Fee Sensitivity

Annual fees, foreign-transaction charges, and reward-program complexities have led to a segment of users – particularly millennials and Gen-Z – to reduce card holdings. Surveys conducted by CIBIL in early 2026 indicated that 27% of cardholders had either closed a card or downgraded to a no-fee variant in the past six months.

3. The Rise of Small-Ticket Personal Loans

STPLs have benefited from a confluence of technological, regulatory, and demographic trends:

3.1 Digital Lending Platforms

Fintech lenders such as Paytm Postpaid, LazyPay, and Slice have built end-to-end digital journeys – from instant KYC via Aadhaar-OTP to disbursement within minutes. Their algorithms rely on cash-flow data, utility-bill payments, and even social-media signals, enabling them to serve thin-file or new-to-credit customers that traditional banks might overlook.

3.2 Bank-Fintech Partnerships

Many public-sector banks have entered co-lending agreements with NBFCs to originate STPLs under the RBI's "Partial Credit Guarantee Scheme" (PCGS). This allows banks to meet priority-sector lending targets while sharing risk with fintech partners. The resulting loan books are often classified under the "personal loan" segment in banks' disclosures.

3.3 Use-Case Expansion

Beyond consumer durables, STPLs are now commonly used for:

• Medical emergencies (especially post-COVID health-care costs)
• Education upskilling (short-term certification courses)
• Travel and leisure (budget flights, hotel bookings)
• Small-business working capital (traders, freelancers)

The flexibility of a fixed-tenure installment loan appeals to borrowers who prefer predictability over revolving credit.

3.4 Lower Perceived Cost

Even though the nominal interest rates on STPLs can range from 14% to 24% APR, the absence of compounding (as with credit-card revolving balances) and the clear repayment schedule make the effective cost appear lower to many consumers. Additionally, promotional zero-interest periods offered by fintech platforms further enhance attractiveness.

4. Sector-Wide Implications for Listed Companies

Understanding how the credit-card-to-STPL shift translates into stock-market movements helps investors contextualize sectoral trends. Below is a high-level view of the major affected segments.

4.1 Banks (NSE: BANKEX, Nifty Bank)

• Revenue mix: Card interchange fees contribute roughly 8-12% of non-interest income for large private banks. A flat or declining card base could pressure this line item unless offset by growth in digital payments or wealth-management fees.
• Loan-book growth: Banks that have successfully partnered with fintechs for STPLs are reporting double-digit growth in their personal-loan portfolios. For instance, State Bank of India disclosed a 21% YoY rise in its "personal loan – digital" segment in FY 2025-26.
• Asset quality: Lower delinquency on STPLs can improve overall retail-loan asset quality, potentially reducing provisioning pressures.

4.2 NBFCs (Nifty Financial Services)

• Growth drivers: NBFCs such as Bajaj Finance, Mahindra Finance, and Shriram Finance have expanded their STPL offerings through mobile apps and POS financing. Their quarterly reports often highlight "digital personal loan" as a fast-growing vertical.
• Risk profile: While STPLs tend to have lower ticket sizes, they also carry higher operational costs due to extensive digital marketing and KYC processes. Investors should watch the trend in cost-to-income ratios.
• Regulatory oversight: The RBI's scale-based regulation (SBR) framework, which came into force in April 2026, imposes stricter capital and governance norms on NBFCs with asset size >₹50,000 crore. This could affect the aggressive growth strategies of some large NBFCs.

4.3 Fintech & Payments (Nifty IT, Nifty Consumer Durables)

• Platform revenue: Companies that provide the technology stack for STPL origination (e.g., Razorpay, Pine Labs) earn transaction-based fees and service charges. Growth in STPL volumes directly lifts their top line.
• UPI integration: Many SPTL disbursements are now linked to UPI IDs for instant credit to merchant accounts. This creates a symbiotic relationship between loan platforms and UPI-enabled payment gateways.
• Valuation sensitivity: Because fintech valuations are often tied to growth multiples, any slowdown in STPL adoption – perhaps due to tighter RBI guidelines on digital lending – could trigger price corrections.

4.4 Consumer-Durables & Retail (Nifty FMCG, Nifty Consumer Services)

• Sales uplift: Retailers that offer in-store financing via STPLs report higher conversion rates for big-ticket items (e.g., smartphones, appliances). For example, Croma and Reliance Digital noted a 15% increase in average transaction value when financing options were presented.
• Inventory turnover: Faster conversion can improve inventory turnover ratios, a metric that analysts frequently track for consumer-durable stocks.

5. What Investors Should Monitor

Rather than prescribing actions, it is useful to outline the key data points and macro variables that investors commonly watch when assessing the impact of this credit-shift.

5.1 Monthly CIBIL Retail-Credit Reports

• Trend lines: Month-over-month changes in credit-card balances vs. STPL balances.
• Segment-wise delinquency: Watching whether the advantage in STPL asset quality persists.
• New-account mix: The proportion of first-time borrowers entering via STPLs versus cards.

5.2 RBI Policy Announcements

• Interest-rate stance: Any shift in the repo rate influences both card APRs and personal-loan pricing.
• Digital-lending guidelines: Updates on KYC, data-privacy, and fair-practice norms for fintech lenders directly affect STPL growth prospects.
• Priority-sector lending (PSL) targets: Changes in PSL requirements can alter banks' appetite for co-lending STPL portfolios.

5.3 Company-Specific Metrics (available in quarterly results)

• Banks: Share of personal-loan book, digital-loan sourcing percentage, card-spend growth, fee-income from cards.
• NBFCs: AUM growth in "personal loan – digital", cost-to-income, gross NPA on retail loans.
• Fintechs: Transaction volume, take-rate, customer acquisition cost (CAC), lifetime value (LTV) of STPL borrowers.
• Retailers: Percentage of sales financed through EMI/STPL options, same-store sales growth.

5.4 Macro-Economic Indicators

• Consumer confidence index (released by RBI and private agencies) – a leading indicator of willingness to take on credit.
• Household debt-to-GDP ratio – helps gauge whether the overall credit expansion is sustainable.
• Inflation trends – particularly in food and fuel, as they affect disposable income available for repayments.

5.5 Regulatory Developments

• Scale-Based Regulation (SBR) for NBFCs – monitors compliance timelines and potential impact on lending capacity.
• Account Aggregator framework – broader adoption could improve credit underwriting for STPLs, potentially expanding the market further.
• Consumer Protection (E-Commerce) Rules – any changes affecting BNPL disclosure requirements could influence consumer uptake.

6. Leveraging Downstox Tools for Analysis

Downstox provides several features that can help investors and traders keep tabs on the stocks and sectors discussed above. The following examples illustrate how each tool might be used in a purely analytical context – they are not recommendations but rather ways to gather data and visualize trends.

6.1 Screener – Filtering for Relevant Universes

• Banking & Financial Services: Use the screener to isolate NSE-listed banks with a personal-loan AUM >₹10,000 crore and a digital-loan share >20%. This can highlight institutions that are actively growing their STPL books.
• NBFCs: Filter for NBFCs where the "personal loan" segment contributes more than 30% of total AUM and where the quarterly AUM growth exceeds 15% YoY.
• Fintech/Payments: Look for companies with revenue from "loan origination fees" or "transaction processing" exceeding 25% of total revenue, and with a quarterly YoY growth rate in excess of 20%.

6.2 Terminal – Real-Time Data & Charting

• Price-Volume Trends: Overlay the Nifty Bank index with a custom index of stocks that meet the Screener criteria above to see whether the financial-services sector is outperforming or underperforming the broader market during periods of rising STPL volumes.
• Technical Indicators: Apply moving averages or RSI to individual stocks (e.g., a leading NBFC) to identify short-term momentum shifts that might correlate with quarterly loan-book announcements.
• News Feed: Enable keyword alerts for "CIBIL", "personal loan", "digital lending", and "RBI guidelines" to receive real-time updates that could affect sentiment.

6.3 Portfolio X-Ray – Stress-Testing Exposure

• Suppose an investor holds a diversified portfolio containing a mix of large-cap banks, mid-cap NBFCs, and a few fintech stocks. Using Portfolio X-Ray, they can:
  • Quantify the percentage of portfolio value exposed to "consumer credit" sub-sector.
  • Examine the concentration risk – for example, whether more than 25% of the portfolio lies in just two NBFCs.
  • Run a scenario where STPL growth slows by 10% and observe the potential impact on portfolio beta and expected volatility (based on historical correlation matrices).

6.4 Mutual Fund Screener – Indirect Exposure

• For investors who prefer mutual-fund exposure, the screener can identify funds with a high weight in "Financial Services – Consumer Credit" or "FinTech" themes. By examining the fund's fact sheet, one can see the fund manager's outlook on the credit-card vs. personal-loan dynamic and assess whether the fund's strategy aligns with their own view.

These tools facilitate a data-driven approach: investors can observe trends, compare fundamentals, and test hypotheses without receiving prescriptive advice.