Hong Kong-based Qupital, which offers cross-border ecommerce financing to SMEs, raised a $300M Series C led by M Capital as it weighs a possible IPO

SMEs that engage in cross-border e-commerce can now access significantly larger trade finance facilities.

Hong Kong-based Qupital, an AI-driven trade finance platform for cross-border e-commerce SMEs, has secured $300 million in a Series C funding round. The round was led by M Capital, with additional contributions from Mitsubishi UFJ Financial Group (MUFG) and Quester Capital, blending equity and structured financing. Qupital has facilitated over $9.5 billion in loans to date. The new capital will fuel expansion into China, the US, Japan, and Southeast Asia, and further develop its AI risk engine. The company utilizes live sales data from major e-commerce marketplaces for automated underwriting, a process it credits for its profitability over the past two years. Qupital anticipates profit margins exceeding 45% in the next year. Alongside this funding, Qupital is exploring strategic options including a potential IPO, further fundraising, or acquisitions.

Qupital's substantial funding round underscores the significant and growing liquidity gap in the cross-border e-commerce sector, estimated at a trillion dollars. The company's AI-powered underwriting, leveraging real-time transactional data, addresses the inefficiencies of traditional lending and positions it to capture a large share of this underserved market. This move signals a broader trend of AI adoption in FinTech for more precise and rapid credit risk assessment, enabling businesses like Qupital to scale rapidly and profitably.

The potential IPO and strategic acquisitions mentioned by Qupital suggest an industry maturing, with consolidation and public market exits becoming more prominent for successful FinTechs in the trade finance space. Investors are betting on AI's ability to unlock greater operational leverage and expand margins, indicating a shift towards data-driven credit models as the new baseline for digital commerce finance. The focus on expanding its AI risk engine highlights the competitive advantage derived from sophisticated data analytics in managing credit risk.