WeBank's Weiye Loan: SME Credit Model Replacing Traditional Credit Reports with Tax Data

📌 Background

Small and micro enterprises often lack traditional credit records, standardized financial statements, and collateral, making it difficult for traditional banks to provide small-amount, high-frequency loans. WeBank's Weiye Loan uses government and operational data, such as tax and business registration records, as a substitute for collateral. Launched in 2017, it provides fully online, unsecured corporate working capital loans. As of the end of June 2026, it has received over 8.4 million applications, granted credit to over 2 million entities, provided 1.9 trillion yuan in credit, and covers 30 provinces and regions.

👤 Target Customers

Small, urgent, and frequent funding needs (stocking, payroll, advance payments) for small and micro enterprises and individual business owners. Funding is provided by WeBank and joint-lending partner financial institutions. Among those granted credit, over 70% are inclusive finance targets with annual revenue under 10 million yuan, and approximately 50% are 'credit white-list' users (based on company disclosures).

💰 Revenue Streams

1) Loan interest income: Interest charged based on loan balance and duration, earning interest spreads on proprietary funds; 2) Joint-lending service fees: Profit-sharing with partner financial institutions based on capital contribution and risk-sharing ratios; 3) Comprehensive financial value-added services (scale yet to be verified): Leveraging WeBank's corporate accounts, bills, insurance, and wealth management to capture corporate liquidity and generate fee-based income.

🧮 Cost Structure

R&D for risk control models and government data integration, cost of funds and bad debt provisions, and high-frequency monitoring and operations during and after the loan term. Among these, the cost of funds and provisions are most sensitive to economic cycles.

🛡️ Moat

Integration of Tencent's ecosystem traffic with government data; AI-driven risk control (including AI Agent risk brains) built on nearly 400 risk models and 150 risk control strategies; economies of scale from 8.4 million application samples and a product matrix covering tech innovation, supply chain, and other scenarios.

🔑 Keys to Success

• Data integration and compliance
• Continuous optimization of risk control models
• Access to low-cost capital

⚠️ Risks

• Changes in regulatory policies
• Data security and privacy
• Bad debts caused by macroeconomic fluctuations

🏢 Cases

• Weiye Loan has accumulated over 8.4 million applications with 1.9 trillion yuan in credit granted (as of the end of June 2026, based on company disclosures)
• Nearly 50% of 13,000 junior and senior high schools in Shenzhen have applied for Weiye Loan's tech innovation loans (based on company disclosures)

📊 SWOT Analysis