Loading...
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
The earnings call shows mixed signals: strong loan origination and growth in certain segments like digital insurance, but also increased regulatory and credit risks, rising funding costs, and declining net income. The absence of detailed guidance in the Q&A suggests uncertainty. Positive elements like international expansion and AI-driven efficiencies are offset by regulatory challenges and profitability pressure. Given these factors, a neutral stock price movement is likely over the next two weeks.
Loan Origination RMB 20.2 billion in the third quarter, up 51% year-over-year. The increase was driven by growth in average loan ticket size, the growth of repeated borrowers, and an increase in loan referral revenue.
Repeat Borrowing Rate 77%, in line with last quarter and 16 percentage points higher than a year ago. This was due to better credit predictability from repeat borrowers.
Total Borrowers Decreased by 11% to 1.3 million compared to the same period last year due to the tightening of credit policies.
Average Loan Size RMB 10,100, up 44% year-over-year, driven by a shift towards higher credit quality customer segments and better credit predictability from repeat borrowers.
Total Revenue RMB 1.55 billion, up 5.1% year-over-year, mainly attributable to 70% growth from the Financial Services segment, partially offset by a decline in revenues from the Consumers and Lifestyle segment.
Financial Services Revenue RMB 1.4 billion, up 70% year-over-year, driven by loan guarantee services revenue which reached RMB 458 million, up nearly 2.4x year-over-year.
Gross Written Premium (Insurance) RMB 1.15 billion, up 35% quarter-over-quarter but down 15% year-over-year. The increase was due to a transformed operating model focusing on a healthier, more profitable customer base.
Internet Insurance Premium RMB 196 million, representing 204% quarter-over-quarter growth. This was driven by more precise marketing and low penetration within the target segment.
Sales and Marketing Expenses RMB 332 million, decreased by 1.2% year-over-year. This was due to better AI-assisted precision marketing that drove higher sales conversion and lower borrower acquisition costs.
Research and Development Expenses RMB 92 million, decreased by 39% year-over-year due to a one-off large system development project in the same period last year.
Origination, Servicing, and Other Operating Costs RMB 150 million, decreased by 27% year-over-year due to improved collection efficiency driven by AI and lower commission costs from the traditional insurance brokerage line.
General and Administrative Expenses RMB 104 million, increased by 30% year-over-year due to increased personnel-related costs to strengthen risk management and fund new business initiatives.
Allowance for Contract Assets and Receivables RMB 229 million, increased by 142% year-over-year due to higher receivables from loan facilitation service and guarantee services.
Provisions for Contingent Liability RMB 460 million, increased by 69% year-over-year due to the increase in loan volume facilitated under the risk-taking model.
Net Income RMB 318 million, representing a 12% decline from the second quarter of this year. The decline was due to upfront provisions under the risk-taking loan facilitation model, industry-wide volatility in asset quality, and declining fee and commission rates.
Agentic AI capabilities: Advancements in agentic AI capabilities, including the Magicube platform, have improved sales conversion, risk controls, and overall productivity.
Internet Insurance Business: Gross written premium reached RMB 1.15 billion, up 35% quarter-over-quarter. Internet Insurance business delivered RMB 196 million in annualized premium, representing 204% quarter-over-quarter growth.
Ethereum Staking Service: Plans to launch an Ethereum staking service, currently undergoing testing, as part of blockchain-enabled solutions.
Indonesian Operations: Launched in September 2025, expected to contribute significant growth in 2026.
Loan Origination: Facilitated RMB 20.2 billion in loan origination, up 51% year-over-year. Repeat borrowing rate at 77%, with a shift towards higher credit quality customer segments.
AI-driven Marketing and Customer Service: AI-driven marketing expanded high-intent user pool by 38% quarter-over-quarter. LLM-powered service robot improved response accuracy to over 92%, reducing inquiries requiring human escalation by 15%.
Fraud Detection: Fraud detection coverage increased from 450 manual cases to 5,800 cases weekly using agentic AI, with accuracy improving to 91%.
Blockchain and AI Investments: Investing in AI and blockchain as core strategic pillars, including partnerships like the MOU with ChainUp and plans for next-generation fintech infrastructure.
Insurance Business Model Transformation: Shifted from high-cost brokerage to a digital, low customer acquisition cost, high-margin model, focusing on profitable customer segments.
Regulatory Uncertainty: Heightened regulatory uncertainty is impacting the operating environment, creating challenges for compliance and strategic planning.
Credit Risk: A more cautious credit backdrop and rising credit risk are pressuring margins and increasing delinquency rates, with 1-30 day delinquency at 2.7%, 31-60 day at 1.7%, and 61-90 day at 1.4%.
Funding Costs: Funding costs rose by 55 basis points during the quarter, reflecting sector-wide trends and adding financial pressure.
Loan Portfolio Risk: Despite tightened credit policies, risk indicators for the loan portfolio edged up, and industry-wide asset quality pressure is expected to persist into the fourth quarter.
Insurance Business Challenges: The traditional insurance brokerage line faced declining commission rates and regulatory headwinds, though a shift to a digital model is mitigating some impacts.
Profitability Pressure: Net income declined by 12% quarter-over-quarter due to upfront provisions under the risk-taking loan facilitation model, industry-wide asset quality volatility, and declining fee rates.
Economic Uncertainty: Volatility in the credit and regulatory risk environment is anticipated to continue, impacting strategic execution and financial performance.
Agentic AI Capabilities: The company is advancing its agentic AI capabilities to enhance process efficiency and strengthen unit economics. Innovations include the Magicube platform, which improves sales conversion, elevates risk controls, and drives greater productivity.
AI and Blockchain Investments: The company is investing in AI and blockchain-enabled solutions as core strategic pillars for future business expansion. This includes building next-generation fintech infrastructure and deepening partnerships with industry players.
Ethereum Staking Service: The company plans to launch an Ethereum staking service, currently undergoing testing, as part of its strategy to deliver seamless 24/7 global financial services.
Overseas Expansion: The company launched operations in Indonesia in September 2025 and expects significant growth contributions from this segment in 2026.
Internet Insurance Business: The company has shifted to a digital, low customer acquisition cost, high-margin model for its insurance business. The Internet Insurance segment is expected to sustain strong momentum and contribute significantly to revenue growth.
Loan Portfolio Risk Indicators: Risk indicators for the loan portfolio from new borrowers are beginning to trend down as of November 2025, indicating the effectiveness of the upgraded credit strategy. However, industry-wide asset quality pressure is expected to continue in Q4 2025, with recovery likely in early 2026.
Revenue Projections for Q4 2025: The company projects revenue for Q4 2025 to be in the range of RMB 1.4 billion to RMB 1.6 billion, reflecting a disciplined approach to growth and risk management.
Internet Insurance Growth: The Internet Insurance business is expected to sustain strong growth momentum over the coming quarters, driven by precise marketing and low penetration within the target segment.
International Business Growth: The Indonesian operations launched in September 2025 are expected to contribute significant growth in 2026.
AI-Driven Efficiency Gains: AI-driven collection capabilities are expected to continue reducing labor costs and improving service quality, contributing to operational efficiency.
The selected topic was not discussed during the call.
The earnings call shows mixed signals: strong loan origination and growth in certain segments like digital insurance, but also increased regulatory and credit risks, rising funding costs, and declining net income. The absence of detailed guidance in the Q&A suggests uncertainty. Positive elements like international expansion and AI-driven efficiencies are offset by regulatory challenges and profitability pressure. Given these factors, a neutral stock price movement is likely over the next two weeks.
The earnings call highlights strong financial performance, including a 12% increase in production and steady funds flow. The company's international expansion and AI development initiatives are promising, and there's optimism in digital insurance growth. Despite regulatory challenges, the company is exploring risk-sharing models. The Q&A revealed some management hesitance, but overall, the strategic initiatives and financial stability suggest a positive outlook. The stock price is likely to rise by 2-8%.
The earnings call presents mixed signals: strong financial performance with a 10.4% revenue increase and a 44.5% QoQ net income rise, but challenges like increased operating expenses, regulatory impacts, and uncertain crypto strategies dampen optimism. The dividend announcement is positive, but the insurance brokerage's decline and potential overseas risks balance the sentiment. Given these factors, the stock price is likely to remain stable, resulting in a neutral prediction.
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.