Company Description
Qfin Holdings, Inc. (NASDAQ: QFIN; HKEx: 3660) is an AI-empowered Credit-Tech platform in China operating in the finance and insurance sector. The company, previously known as Qifu Technology, Inc., focuses on making credit services more accessible and personalized for consumers and small and medium-sized enterprises (SMEs) through technology services provided to financial institutions. It is classified in the credit-related segment of the financial industry and is described as a Credit-Tech platform rather than a traditional bank or lender.
According to the company’s own descriptions in its announcements, Qfin Holdings leverages machine learning models, data analytics, and AI capabilities to assist financial institutions and end users across the loan lifecycle. This includes borrower acquisition, preliminary credit assessment, fund matching, and post-facilitation services. The platform connects financial institutional partners with consumers who have potential credit needs and supports institutions in identifying diversified borrower needs, assessing creditworthiness, managing credit risks, and improving collection strategies and efficiency.
Business model and Credit-Tech services
The company describes its business as providing Credit-Tech services to financial institutions. Through these services, it deploys technology solutions that help institutions access prospective borrowers who are considered creditworthy, using multiple channels. The platform’s role includes enhancing credit assessment on prospective borrowers and supporting risk management and collections. These activities are designed to help financial institutions address borrower demand while managing risk exposure.
Qfin Holdings reports that its platform connects a large base of registered users and financial institutional partners. In its quarterly business highlights, the company discloses cumulative figures for registered users, users with approved credit lines, and borrowers who have successfully drawn down loans, including repeat borrowers. It also reports the number of loans originated by financial institutional partners through its platform, the total facilitation and origination loan volume, and the total outstanding loan balance for loans facilitated and originated via the platform.
Capital-heavy and capital-light models
In its financial results releases, Qfin Holdings distinguishes between capital-heavy and capital-light approaches within its services. Under credit driven services, the company reports loan facilitation and servicing fees for capital-heavy activities, financing income from on-balance-sheet loans, and revenue from releasing guarantee liabilities related to off-balance-sheet capital-heavy loans. It also reports other services fees, such as late payment fees under credit driven services.
Under platform services, the company reports loan facilitation and servicing fees for capital-light activities, referral services fees, and other services fees. Capital-light activities are closely associated with its Intelligence Credit Engine (ICE) and its total technology solutions. For loans facilitated through ICE, the company states that it does not bear principal risk. ICE is described as an open platform, primarily on the “Qifu Jietiao” app (previously known as “360 Jietiao”), where Qfin Holdings matches borrowers and financial institutions using big data and cloud computing technology and provides pre-loan investigation reports on borrowers.
Intelligence Credit Engine (ICE) and technology solutions
The Intelligence Credit Engine (ICE) is a core component of Qfin Holdings’ capital-light model. The company explains that ICE operates as an open platform that connects borrowers and financial institutions and relies on big data and cloud computing technology. By generating pre-loan investigation reports, ICE supports financial institutions in evaluating borrower profiles before loans are facilitated. Because the company does not bear principal risk on loans facilitated through ICE, this model is positioned as a technology and service-driven approach rather than balance sheet lending.
Beyond ICE, Qfin Holdings reports that it offers end-to-end technology solutions to financial institutions under what it calls total technology solutions. These are offered based on on-premise deployment, software-as-a-service (SaaS), or a hybrid model. Through these solutions, the company aims to assist institutions throughout the loan lifecycle, from borrower acquisition and preliminary credit assessment to post-facilitation services such as collections support.
AI, machine learning, and research
Qfin Holdings repeatedly characterizes itself as a leading AI-empowered Credit-Tech platform in China. It states that it uses sophisticated machine learning models and data analytics capabilities to support its services. Public communications describe an “AI + Finance” strategy and refer to the development and application of large language models and multimodal AI techniques to core credit business scenarios.
The company has also highlighted research collaborations. For example, it announced that a paper co-authored with Beijing Jiaotong University on compositional zero-shot learning, using multimodal large language model (MLLM) embeddings and attribute smoothing, was accepted by the International Joint Conference on Artificial Intelligence (IJCAI) 2025. In its description, the company links this research to potential applications in fintech, such as intelligent risk control and customer service, where multimodal data and improved semantic understanding can enhance fraud detection and support more precise handling of complex user inquiries.
Loan lifecycle metrics and risk indicators
In its quarterly financial results, Qfin Holdings discloses a range of operating metrics related to its loan facilitation activities. These include the weighted average contractual tenor of loans originated by financial institutions across its platform, the 90 day+ delinquency rate of loans originated across the platform, and the contribution of repeat borrowers to total loan facilitation and origination volume for a given period.
The company also reports leading risk indicators such as Day-1 delinquency rate and 30-day collection rate. Day-1 delinquency rate is defined as the total amount of principal that became overdue as of a specified date divided by the total amount of principal that was due for repayment as of that date. The 30-day collection rate is defined as the amount of principal repaid in one month among the total amount of principal that became overdue as of a specified date, divided by that total overdue principal. These definitions indicate the company’s focus on monitoring portfolio performance and collection effectiveness.
Corporate structure, listings, and name change
Qfin Holdings files as a foreign private issuer with the U.S. Securities and Exchange Commission (SEC) under Form 20-F reporting requirements and submits current reports on Form 6-K. The company’s securities trade on NASDAQ under the symbol QFIN and on the Hong Kong Stock Exchange under the code 3660. SEC filings list its principal executive office in Shanghai, China.
In 2025, the company implemented a corporate name change. At an annual general meeting held in Shanghai, shareholders approved a special resolution to change the English name of the company from “Qifu Technology, Inc.” to “Qfin Holdings, Inc.” and to adopt a Fourth Amended and Restated Memorandum and Articles of Association. Subsequent SEC filings and press releases reflect the new name, while some filings and announcements refer to Qifu Technology when describing events or resolutions leading up to the change.
Dividends, funding, and capital markets activity
In its public announcements, Qfin Holdings has reported semi-annual dividend decisions and described capital markets activities. For example, it announced unaudited financial results for the second quarter and interim 2025 period and stated that it raised its semi-annual dividend. In another release, the company noted the completion of a convertible notes offering and linked this to its ability to support share repurchase programs and business initiatives.
The company also reports issuance of asset-backed securities (ABS) as part of its funding structure. Management commentary in quarterly results references record ABS issuance in certain periods, blended funding costs, and the proportion of loan balances under capital-light models, ICE, and total technology solutions. These disclosures indicate that Qfin Holdings uses structured funding channels and monitors funding costs and liquidity conditions in the consumer finance industry.
Governance, recognition, and corporate communications
Qfin Holdings discloses corporate governance developments through its annual general meeting materials and SEC filings. Resolutions have included re-appointing Deloitte Touche Tohmatsu Certified Public Accountants LLP as auditor, authorizing the board to fix auditor remuneration for a given financial year, and re-electing directors in accordance with the company’s memorandum and articles of association.
The company has also been recognized in external rankings. It reported that Qifu Technology, its prior name, was awarded the title of “Most Honored Company” in the Extel Asia (ex-Japan) Best Managed Teams rankings for a second consecutive year. In its description of this recognition, the company attributes the distinction to factors such as AI technology applications, information disclosure, corporate governance, and capital market communication.
Position within the finance and insurance sector
Within the broader finance and insurance sector, Qfin Holdings is positioned as a Credit-Tech and fintech company focused on technology services rather than traditional deposit-taking activities. Its operations center on connecting financial institutions with consumers and SMEs that have credit needs, using AI, big data, and analytics to support underwriting and loan lifecycle management. The company’s disclosures emphasize both capital-heavy credit driven services and capital-light platform services, with an ongoing shift in business mix between these categories as it responds to macroeconomic conditions and regulatory developments in the consumer finance industry in China.