BAJAJ FINANCE: CONSUMER LENDING CRISIS AND RECOVERY PATHWAY

A Macro Intelligence Memo | June 2030 | Investor Edition

FROM: The 2030 Report DATE: June 15, 2030 RE: Bajaj Finance Portfolio Deterioration, Funding Stress, and Path to Recovery

SUMMARY: THE BEAR CASE vs. THE BULL CASE

THE BEAR CASE: Bajaj Finance faces extended credit stress with structural NPA normalization delayed beyond 2033. IT sector unemployment persists at 4%+ through 2032. Funding markets remain hostile. The company destroys shareholder value through equity dilution (capital raising), dividend cuts accelerate, and ROIC remains compressed below 12%. Market cap could decline to ₹12-14 trillion by 2032 (40-50% downside), with dividend yield potential capped at 2-3%.

THE BULL CASE: Management's AI-driven credit strategy and capital adequacy provide platform for faster recovery. IT sector unemployment normalizes to 2.5% by Q2 2031. Funding costs normalize 160+ bps by end-2032. NPA peaks in Q2 2030 at 3.8%, normalizes to 1.4% by end-2033. ROE recovers to 30%+ by 2033. Stock price reaches ₹5,480-6,200 by 2033 (48-67% upside) with sustainable 3.5%+ dividend yield supported by 30%+ ROIC.

EXECUTIVE SUMMARY

Bajaj Finance, India's largest non-banking financial company (NBFC) with $45 billion in assets, experienced a severe credit crisis during 2029-2030 as unemployment in India's IT services sector cascaded into consumer loan defaults. The company's market capitalization contracted 42% from its November 2028 peak of $31 billion to $18 billion by June 2030, reflecting deteriorating asset quality, funding stress, and uncertainty around sector recovery timelines.

Gross non-performing assets (NPAs) deteriorated from 1.2% in Q4 2028 to 3.8% by Q2 2030, driven by concentrated exposure to IT services employees in Bangalore and Hyderabad. Simultaneously, funding markets repriced Bajaj Finance credit risk significantly higher, with wholesale borrowing costs rising 160-190 basis points and the company's credit rating downgraded from AAA to AA+.

Despite challenges, Bajaj Finance's AI-driven credit scoring and collection capabilities, combined with strong capital adequacy (15.2% by June 2030), position the company for recovery once macro conditions stabilize and IT sector employment normalizes. For distressed investors with multi-year time horizons, the risk-reward has shifted toward attractive territory, though near-term volatility is likely.

SECTION ONE: BUSINESS MODEL AND ASSET COMPOSITION

Historical Context (2024-2028)

Bajaj Finance emerged from the 2008-2024 period as India's most dynamic financial institution, displacing traditional banks in consumer lending. By 2024, the company had:

• $28 billion in assets (up from $12 billion in 2018)
• 1.2% gross NPA ratio (industry-leading)
• 42% ROE (exceptional profitability)
• Market cap of $22 billion (6.2x P/B multiple, justified by growth and profitability)

The business model was built on retail lending in three segments: 1. Personal loans (48% of portfolio): Unsecured loans to salaried individuals (prime) and self-employed (subprime) 2. Auto loans (32% of portfolio): Secured loans for new and used car purchases 3. Two-wheeler and equipment loans (20% of portfolio): Secured loans for motorcycles, scooters, and equipment

Geographic and Occupational Concentration

Bajaj Finance's portfolio showed material concentration in technology sector employees:

This concentration became problematic beginning in Q2 2029.

SECTION TWO: THE 2029-2030 CRISIS: UNEMPLOYMENT AND DEFAULTS

The IT Services Shock

Beginning in Q2 2029, major Indian IT services companies (Infosys, TCS, Wipro, HCLTech) announced significant workforce reductions:

Total IT services unemployment: 90,000+ employees, representing a 4.2% reduction in the ~2.1 million-person Indian IT services workforce.

Root causes: 1. Automation acceleration: AI/ML adoption accelerated, reducing need for junior developers 2. Offshore-to-automation shift: Client companies shifted from offshore headcount expansion to robotic process automation 3. Generative AI impact: LLM-based coding assistants reduced per-developer capacity needs for routine coding tasks 4. Global IT spending deceleration: U.S. tech companies (clients of Indian IT services) faced IT budget pressures

The unemployment rate for IT services professionals surged from 1.8% (2024-2028 average) to 5.2% by Q2 2030.

Downstream Impact on Consumer Lending

For IT services employees holding Bajaj Finance loans, unemployment created immediate payment stress:

1. Severance packages: One-time payments (typically 6-12 months salary) provided temporary liquidity
2. Job search period: Average search duration increased from 6 weeks (2024-2028) to 18-22 weeks (2029-2030)
3. Salary compression: When re-employed, IT professionals typically accepted positions at 10-18% lower salary levels
4. Marital stress: Household unemployment triggered relationship stress and loan prioritization changes

Bajaj Finance's NPA trajectory reflected this cascade:

NPA acceleration: From 1.2% to 3.8% over 18 months represented a 216% increase in absolute NPAs.

Collections Performance and Charge-Offs

Bajaj Finance's collections team deployed intensive efforts to manage deterioration:

The company increased collections staffing from 3,200 to 5,800 personnel, raising collections costs to ₹85 million monthly by Q2 2030. Despite enhanced efforts, collections efficiency declined as borrowers faced genuine income constraints rather than behavioral delinquency.

SECTION THREE: FINANCIAL IMPACT AND PROFITABILITY

Net Interest Income and Spread Compression

The crisis created two opposing effects on net interest income:

Negative effects: 1. Higher provision requirements: Loss provision as % of assets increased from 0.9% (2024-2028) to 2.1% by Q2 2030 2. Spread compression: Increased wholesale borrowing costs compressed net interest margins from 8.2% (2028) to 6.8% (Q2 2030) 3. Growth deceleration: Portfolio growth slowed from 18% YoY (2027-2028) to 1.2% YoY (Q2 2030) as originations declined

Positive effects: 1. Yield maintenance: Despite higher NPAs, portfolio yield remained relatively stable (11.8-12.1%) due to mix shift toward higher-yielding unsecured loans 2. Deposit base stability: Customer deposit base (though small) remained relatively stable

Profitability collapse: Net income declined 73% from 2028 ($2,680M) to 2030 run rate ($780M annualized).

Capital Adequacy and Regulatory Constraints

Bajaj Finance's capital adequacy ratio deteriorated but remained above regulatory minimums:

The company retained earnings sufficient to maintain capital adequacy, though the regulatory buffer compressed from 1.84x minimum to 1.27x. Any further portfolio deterioration would trigger RBI mandates for capital raising.

SECTION FOUR: FUNDING CHALLENGES AND COST OF CAPITAL

Wholesale Funding Market Stress

As asset quality deteriorated, Bajaj Finance faced wholesale funding pressure:

Credit rating agencies downgraded Bajaj Finance: - Moody's: AAA → AA+ (August 2029) - S&P: AAA → AA+ (October 2029) - CRISIL: AAA → AA+ (September 2029)

These downgrades reduced market access and increased borrowing costs materially. For a company with $45 billion in assets funded primarily via wholesale markets, 160+ bps cost increase equated to approximately $720 million in additional annual funding costs.

Deposit Growth Opportunity (Underexploited)

Bajaj Finance historically funded ~60% of assets via wholesale markets and ~40% via deposits. During the crisis, management initiated an aggressive deposit gathering campaign:

• Deposit base growth: $8.2B (2024) → $11.8B (Q2 2030), +44% growth
• Deposit rate: Increased to 7.8% (competitive with banks)
• Deposit cost as % of funding: Increased from 40% (2024) to 48% (Q2 2030)

While deposit growth was positive, management realized that deposit market share was limited. Most consumers preferred holding deposits with banks (implicit government backing) rather than NBFCs.

SECTION FIVE: AI-DRIVEN CREDIT SCORING AND RECOVERY STRATEGY

AI Credit Quality Improvements (2029-2030)

Despite asset quality challenges, Bajaj Finance made significant advances in AI-driven credit underwriting:

Data foundation: - 15+ years of borrower data (18+ million historical loans) - 2.8 billion transaction records - Behavioral and payment pattern analytics - Geospatial data linking borrower location to economic indicators

AI model improvements (2029-2030): 1. Default prediction: Developed models predicting 180+ DPD defaults with 87% precision (vs. 71% for traditional scorecard) 2. Employment risk assessment: Models flagged borrowers in "high-risk sectors" (IT services, hospitality) with pending unemployment 3. Income stability scoring: Integration of income tax returns, employment letters, and bank statements to assess income stability 4. Co-borrower risk: Models incorporated co-borrower credit risk, improving overall family financial health assessment

Origination impact (new loans, 2029-2030): - Approval rates shifted toward salaried employees (80% of approvals vs. 55% historically) - Auto-reject rate increased from 12% to 24% for high-risk profiles - New delinquency rate (loans originated after Q1 2030): 1.4% vs. historical baseline of 2.1%

18% reduction in new delinquencies was a significant achievement, though it could not offset the deterioration in the existing $45 billion legacy portfolio.

Collections Optimization

Bajaj Finance also applied AI to collections:

1. Prediction of delinquency resolution: Models predicted which delinquent accounts would cure vs. require charge-off, informing collection strategy intensity
2. Optimal collection channel: Algorithms determined whether SMS, phone call, or field agent visit would maximize recovery
3. Negotiation optimization: AI-guided scripts adjusted based on borrower financial position and payment history

Result: Collections efficiency improved from 87% to 89% in Q2 2030 (measured as % of 30+ DPD loans brought current within 90 days).

SECTION SIX: STOCK PERFORMANCE AND VALUATION METRICS

2024-2030 Stock Price Trajectory

Stock price evolution: - Peak to trough: 5,120 → 2,180 (-57% from November 2028 to December 2029) - 2024-2030 total return: -2.8% (negative return despite starting from a $22B market cap) - Dividend drag: Dividends cut by 42% (from ₹28/share annually to ₹16/share), reducing total return further

Current Valuation Assessment (June 2030)

At June 2030, Bajaj Finance traded at: - P/E: 8.1x (vs. 18.2x in 2024, 65% compression) - P/B: 2.3x (vs. 6.2x in 2024) - EV/Assets: 0.40x (distressed territory)

The valuation appeared cheap on traditional metrics but reflected: 1. Earnings power uncertainty: P/E compression to 8.1x implied 71% decline from peak earnings 2. Recovery duration uncertainty: Market unsure if recovery would take 2 years or 5+ years 3. Capital adequacy concerns: If deterioration continued, company might require capital raise (dilutive)

SECTION SEVEN: RECOVERY PATHWAY AND BASE CASE SCENARIO (2030-2033)

Assumptions for Base Case Recovery

Macro assumptions: 1. IT sector stabilization: IT services unemployment declines from 5.2% to 3.2% by end of 2031 2. Salary recovery: Re-employed IT professionals achieve 85% salary recovery (from 12-15% haircuts) by 2032 3. Macro growth: Indian GDP growth returns to 6-7% trajectory by 2032 4. Interest rate normalization: RBI cuts rates from 6.5% (2030) to 5.5% by end of 2032

Company-specific assumptions: 1. NPA normalization: Gross NPA declines from 3.8% (Q2 2030) to 2.1% (end 2032), 1.4% (end 2033) 2. Portfolio growth: Asset growth accelerates from 1.2% (2030) to 12% (2031), 14% (2032), 15% (2033) 3. Funding costs: Wholesale borrowing costs decline from current elevated levels back to 2028 levels (160+ bps improvement) 4. Margin recovery: Net interest margins recover from 6.8% to 8.0% by end 2033

Projected Financial Metrics (Base Case)

Valuation Base Case (End of 2033)

Assuming normalized multiple of 14x P/E (below 2024 peak of 18x, reflecting still-elevated growth): - Net income (2033): $3,120M - P/E multiple: 14x - Implied market cap: $43.7B - Stock price target: ₹5,480 (assuming rupee remains at 75/USD) - 2030-2033 CAGR: 24.1%

This implies attractive returns for investors with 3-year time horizons willing to tolerate interim volatility.

SECTION EIGHT: RISKS AND ALTERNATIVE SCENARIOS

Downside Risk: Prolonged Downturn

If IT sector recovery is slower than base case (unemployment remains >4% through 2032) and macro growth decelerates: - Gross NPA could reach 5.2% by end 2031 - Provisions could total $1.2B annually through 2032 - ROE could remain compressed below 12% through 2033 - Stock price target 2033: ₹3,240 (15% CAGR from current levels)

Probability: 30%

THE BULL CASE ALTERNATIVE: Accelerated IT Sector Recovery Enables Portfolio Normalization

Investor Implications: If IT sector unemployment normalizes faster than base case (returns to 2.5% by Q2 2031) and salary recovery is complete by end 2031: - Gross NPA normalizes to 1.8% by end 2031 (vs. base case 2.1% by 2032) - Portfolio growth accelerates to 16-18% through 2033 (vs. base 12-15%) - ROE reaches 35-37% by 2033 (vs. base 31-33%) - Margins expand through operating leverage on accelerated growth - Stock price target 2033: ₹7,240 (34% CAGR from current levels; 32% higher than base case) - Dividend sustainability at 4-5% yield supported by exceptional ROIC

What would trigger bull case: Faster than expected AI productivity adaptation in IT services, allowing companies to re-hire displaced workers at lower cost in new AI-augmented roles. This would reduce unemployment duration and enable faster salary recovery.

Probability: 25%

Capital Adequacy Risk: Regulatory Constraints

If NPA deterioration continues at current pace, capital adequacy could compress below 13% by Q4 2030: - RBI could mandate capital raise: Diluting existing shareholders by 8-12% - Rights offering would occur at depressed valuations: Further dilution - Stock price impact: -15-20% below current levels

Probability: 15%

SECTION NINE: COMPARATIVE ASSESSMENT AND RECOMMENDATIONS

Bajaj Finance vs. Bank Peers

Banks maintained much lower NPAs (1.2-2.1%) during the same period due to: 1. Implicit government backing: Deposit confidence insulates banks from funding stress 2. Diversified customer base: Banks have corporate lending, which was less affected 3. Superior liability structure: Bank deposits are sticky; NBFC wholesale funding is fickle

Bajaj Finance's peer HDFC Bank maintained 1.2% gross NPA despite similar economic conditions, reflecting the structural advantage of being a bank.

Investment Thesis: Bull/Bear/Realistic Assessment

BEAR CASE (20% probability - Avoid): - Extended NPA normalization (peak 5.2% by Q4 2030, norm 2.8% by 2033) - IT unemployment persists 4%+ through 2032 - Funding costs remain elevated; rating upgrade delayed - Capital raise required (dilutive to shareholders) - ROE stalled at 18-20% by 2033 - Dividend cut risk material; yield compressed to 2-3% - Stock price 2033: ₹3,240 (downside -41%) - Investor position: Exit/Underweight; superior alternatives available

BASE CASE (40% probability - Selective Buy): - Gradual NPA normalization (peak 3.8%, norm 1.4% by 2033) - IT unemployment normalizes to 3.2% by 2032 - Funding costs decline 160+ bps by end 2032 - No capital raise required; dividend maintained/grown - ROE recovery to 31-33% by 2033 - Sustainable dividend at 3-3.5% yield - Stock price 2033: ₹5,480 (upside +49%) - Investor position: Core position with 3+ year horizon; 12-15% IRR

BULL CASE (40% probability - Overweight): - Faster NPA recovery (peak 3.2% by Q2 2030) - IT unemployment falls to 2.5% by Q2 2031 (faster wage recovery) - Funding markets normalize by Q4 2031 - Capital adequacy strengthens; dividend grows 8-10% annually - ROE reaches 35-37% by 2033 (exceptional) - Premium 4%+ dividend yield supported by strong ROIC - Stock price 2033: ₹7,240 (upside +97%) - Investor position: Overweight accumulation; 20%+ IRR

OVERALL RECOMMENDATION: - For risk-tolerant investors with 3+ year horizon: BUY at 2030 valuations (P/E 8.1x, P/B 2.3x). Probability-weighted returns attractive; 40% probability of 30%+ upside. - For income investors: SELECTIVE BUY. Dividend cut risk real but dividend growth resumption likely by 2031-2032 as credit quality improves. - For risk-averse investors: AVOID for now. Monitor Q3-Q4 2030 NPA trajectory; re-evaluate if peak is confirmed and normalization trend visible.

THE DIVERGENCE: BEAR vs. BULL INVESTMENT OUTCOMES (2030-2033)

Critical Monitoring Points for Scenario Divergence: 1. Q3 2030 NPA trajectory — Must peak and stabilize; continued rise triggers bear case 2. IT services wage recovery velocity — Monitor IT professional re-employment salary levels quarterly 3. Fund manager commentary on IT hiring — Leading indicator for sector stabilization 4. Bajaj Finance new origination quality — AI credit scores on post-2030 originations critical for bull case

CONCLUSION

Bajaj Finance's 2029-2030 crisis was a function of concentrated occupational exposure (IT services) colliding with sector-specific employment shock (AI automation). The crisis was severe—gross NPAs tripled from 1.2% to 3.8%—but the company's strong capital position, sophisticated AI credit capabilities, and improving new origination quality position it for recovery once macro conditions stabilize.

At current valuations (P/E 8.1x vs. historical 15-18x), the risk-reward is skewed favorably for multi-year investors. However, near-term volatility is likely, and recovery timelines are uncertain.

RATING: SELECTIVE BUY (on weakness)

Price target 2033: ₹5,480 (base case); Hold for 3+ year horizon

The 2030 Report does not hold positions in Bajaj Finance. This analysis is for informational purposes only.

REFERENCES & DATA SOURCES

1. Bajaj Finance Annual Report & Form 20-F Filing, FY2029 (SEC & NSE Filing)
2. Bloomberg Intelligence, "Bajaj Finance: Enterprise Valuation & Equity Research," Q2 2030
3. McKinsey Global Institute, "AI Impact on Corporate Valuations in India," March 2029
4. Reserve Bank of India (RBI), "Corporate Credit and Financial Stability Review," June 2030
5. Reuters India, "Indian Corporate Sector: Investor Returns and Market Trends," Q1 2030
6. Gartner, "Digital Transformation ROI and Investor Value Creation," 2030
7. World Bank India Report, "Corporate Sector Productivity and Growth," 2029
8. Bajaj Finance Investor Relations, Q4 2029 Earnings Presentation & Guidance
9. IMF Economic Outlook, "India Corporate Sector Growth Projections," April 2030
10. CRISIL, "Indian Corporate Sector Credit and Investment Outlook," FY2029
11. Credit Suisse, f"{company_name} Equity Research Report," Q2 2030
12. Goldman Sachs, "India Corporate Sector: Consensus Earnings Estimates," June 2030