Lufax is showing a more selective path through China’s difficult small-business lending market. The financial services company reported a sharply narrower second-quarter loss while expanding consumer finance lending, increasing its risk exposure and using AI to refine customer segmentation and operations.
Lufax Holding Ltd. reported total income of RMB6.23 billion ($918 million) for the second quarter of 2026, down 15.5% from RMB7.37 billion a year earlier. Yet the company’s net loss narrowed to RMB82 million from RMB594 million, an 86.2% improvement.
The contrasting figures capture where Lufax is in its restructuring. Revenue remains under pressure, but operating expenses excluding credit impairment losses, finance costs and other gains or losses fell 27.5% year over year to RMB1.97 billion.
For a fintech focused on lending to small-business owners, however, the more consequential numbers are on the balance sheet and in credit performance.
Lufax enabled RMB51.1 billion in new loans during the quarter, up 4.6% from RMB48.9 billion in the second quarter of 2025. Consumer finance was the main growth engine: new consumer finance loans reached RMB36.9 billion, a 27.6% increase year over year.
At the same time, total outstanding loans declined 13.5% to RMB167.3 billion. Consumer finance moved in the opposite direction, with its outstanding balance rising 19.9% to RMB65.4 billion.
That shift suggests Lufax is changing the composition of its lending business rather than simply pursuing higher loan volumes. The company says its strategy is centered on selective customer acquisition, product design aimed at lower-risk borrowers and an upgraded risk-management framework.
The approach also comes with a greater assumption of credit risk. Lufax bore risk on 93.2% of its outstanding balance at the end of June, compared with 83.7% a year earlier. Excluding its consumer finance subsidiary, the figure was 95.7%, up from 84%.
That matters because risk-bearing can increase the economics of lending when credit performs well, but it also leaves the platform more exposed when borrowers deteriorate.
Lufax’s credit indicators were mixed but showed some sequential improvement. Its C-M3 flow rate for enabled loans excluding the consumer finance subsidiary declined to 1.0% in the second quarter from 1.2% in the first. The 30-plus-day delinquency rate fell to 5.8% from 6.1%.
The 90-plus-day delinquency rate, however, increased to 3.7% from 3.4%. Within consumer finance, the non-performing loan ratio improved slightly to 1.3% from 1.4%.
The result is a more nuanced picture than the headline loss reduction suggests: Lufax is becoming more efficient and its near-term credit indicators have improved in some areas, but credit costs remain significant. Credit impairment losses, finance costs and other gains or losses totaled RMB4.22 billion during the quarter.
AI is becoming part of that credit strategy. Lufax said it is increasing the use of artificial intelligence for customer segmentation and for strengthening relationships with existing customers.
That is a relatively practical application of AI in financial services. Rather than positioning generative AI as a standalone product, Lufax is applying machine-learning and AI capabilities to decisions that directly influence acquisition, servicing and risk management.
The distinction is important for financial institutions. AI adoption is increasingly moving from experimentation toward targeted operational use, but governance, data quality and measurable returns remain barriers. Gartner reported in 2026 that 84% of finance organizations had either implemented or planned to implement AI, while only 7% reported high or very high impact.
For lenders, the value proposition is particularly tied to better decisions: identifying customers, estimating risk, detecting anomalies and improving servicing without allowing automation to weaken controls.
Lufax’s governance changes are therefore part of the story as well. The company said it completed the re-audit and audit of its 2022–2025 financial statements, engaged Deloitte Consulting Shanghai to strengthen internal controls and restructured its board so independent non-executive directors now hold a majority.
Those changes come as the company seeks to restore a more predictable reporting cadence and rebuild investor confidence.
The competitive landscape is broader than traditional consumer lenders. China’s fintech ecosystem includes banks, consumer finance companies, digital platforms and technology-enabled financial services providers, while global financial technology companies increasingly compete through embedded lending, automated underwriting and data-driven risk management.
Lufax’s model remains distinctive because it combines technology-enabled credit origination with risk-bearing and financial services infrastructure. Its closest comparisons therefore depend on the specific layer being evaluated: banks compete for lending relationships, consumer finance companies compete for borrowers, while fintech platforms compete on underwriting technology, distribution and operational efficiency.
For enterprise financial-services teams, the lesson is less about copying Lufax’s loan model than about how technology is being integrated into the lending stack. AI-based segmentation can improve customer economics, but the value depends on clean data, transparent decisioning, model governance and a risk framework capable of handling changing borrower behavior.
That is increasingly consistent with the broader fintech market. McKinsey estimates that global fintech generated approximately $650 billion in revenue in 2025, with AI and digital assets among the forces shaping the industry’s next phase.
Lufax’s second-quarter results show what that transition looks like at an operating level: lower overall loan balances, faster growth in selected consumer finance products, tighter cost management and heavier reliance on technology to decide where the company should take risk.
The strategy may improve resilience if credit performance holds. But with risk-bearing now accounting for most of its loan book, execution will matter at least as much as growth.
Market Landscape
Lufax’s results arrive as fintech companies move beyond the growth-at-all-costs phase toward profitability, risk discipline and operational maturity. McKinsey says global fintech revenue reached about $650 billion in 2025, while payments alone generated $2.5 trillion globally.
AI is becoming a core layer of this financial infrastructure. Banks and fintechs are using machine learning for underwriting, fraud detection, customer segmentation and operational automation, while newer generative AI systems are being integrated into financial workflows.
For enterprise buyers, the competitive question is shifting from whether to adopt AI to where it can generate measurable economic value without creating unacceptable model, compliance or credit risk. Gartner’s research underscores that adoption does not automatically translate into business impact.
Lufax’s consumer-finance expansion also reflects a broader industry trend: financial platforms are increasingly combining lending, technology, data and servicing rather than operating as narrowly defined digital lenders.
Top Insights
- Lufax cut its Q2 net loss 86.2% while total income fell 15.5%, highlighting cost discipline as lending platforms navigate weaker small-business financing demand.
- Consumer finance became Lufax’s main growth engine, with new loans rising 27.6%, reshaping the company’s portfolio while total outstanding loans continued declining.
- Lufax bore risk on 93.2% of outstanding balances, increasing its exposure to credit performance while giving the platform greater control over lending economics.
- AI-powered customer segmentation is moving into Lufax’s operating model, reflecting broader fintech adoption of machine learning for acquisition, servicing and risk management.
- Governance reforms, stronger internal controls and renewed financial reporting indicate that operational credibility is becoming as important as loan growth for mature fintech companies.
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