经济观察网 奇富科技在2026年2月初披露2025年全年业绩预告，预计净利润为58.8亿元至60.8亿元，同 比变动-2%至+1%，但第四季度出现单季度亏损约4.2亿元，主要由于公司以3.08亿元对价折价处置了 74.29亿元的个人消费不良资产包，折价率仅为4.15%，这笔资产处置直接拖累了当期利润。同时，2025 年助贷新规实施后，公司向轻资本模式转型，但转型成本高企，尚未转化为显著财务回报，叠加宏观环 境波动，短期经营承压。 近期奇富科技股价呈现震荡走势。港股方面，2026年2月5日至11日期间股价反弹8.44%（收盘价从59.75 港元升至64.85港元），但成交清淡（日均成交额约106万港元），显示资金参与度低。根据最新行情， 截至2026年2月13日，港股奇富科技-S（03660.HK）收盘价为61.20港元，单日下跌2.16%，5日涨跌幅为 3.73%，振幅收窄至1.68%，成交金额仅64.7万港元。美股奇富科技（QFIN.OQ）同期表现偏弱，2月13 日收盘价为15.55美元，5日涨跌幅为-3.30%，振幅达11.75%。股价波动反映市场对业绩亏损、资产质量 恶化及行业监管趋严的担忧。 以上内容 ...

Core Viewpoint - Qfin Holdings (QFIN) is upgraded from Hold to Buy, with an expected upside of 61% over the next 12 months despite no growth in revenues or earnings [1] Summary by Category Company Performance - The company is currently not showing growth in revenues or earnings [1] Valuation - The current valuation of Qfin Holdings has dipped, prompting the upgrade recommendation [1]

The prevailing narrative for the Chinese economy is that it’s in a precarious position, with well known geopolitical tensions constantly simmering beneath the surface. Macroeconomic issues abound, such as excessive price wars thatI am a "recovering" momentum trader. My journey began in 2017, but my real education started after a major portfolio drawdown taught me the difference between price and value. Since then, I’ve built my strategy entirely around cash flow and fundamentals.I describe myself as a contr ...

华南理工大学许言午教授则从跨行业经验出发，为金融AI的发展提供了另一种参照。他表示，很多人 直觉上觉得AI在金融领域"存在感不强"，其实并不准确。AI早已深度参与保险定价、资产评估和量化交 易，只是这些价值并不直接呈现在ToC产品中，因此"看不见"。 本报讯 2月5日，围绕"信贷多模态AI如何定标准"，奇富科技举办了一场聚焦产业与学术前沿的直播讨 论。直播中，奇富科技联合复旦大学、华南理工大学研究人员近期发布的首个面向信贷场景的多模态评 测基准FCMBench-V1.0成为核心议题。 复旦大学陈涛教授认为，好的数据集本身就是对"好问题"的定义。重要的是，金融AI不能停留在通用模 型的预训练与微调阶段，而应构建内生的金融思维链，让模型天然理解利率、规则与风险，实现安全可 信的推理能力。这也是学界与产业必须协同解决的问题。 （文章来源：证券日报） 在这场对话中，来自产业一线与学术前沿的三位嘉宾，从不同视角指向了同一个问题：如果没有统一标 准，金融AI很难真正落地。 作为奇富科技多模态负责人，杨叶辉首先从产业实践谈起。他用"锄头与土地"做比喻，形象阐释了AI与 应用场景之间的关系：AI是工具，而金融、医疗这样的高门 ...

Core Insights - The Beijing Financial Technology Industry Alliance announced the results of the "Top Five Group Standards" for 2025, recognizing the contributions of Qifu Technology in the standardization of financial large models [1][5] - Qifu Technology's participation in the development of two important group standards, namely "Technical Requirements for Financial Applications of Large Language Models" and "Evaluation Specifications for Financial Applications of Large Language Models," has been acknowledged as a significant achievement [1][3] Group 1: Standardization Efforts - Qifu Technology, as a core participating unit, has leveraged nine years of experience in financial technology to provide essential support across dimensions such as technology implementation, risk control, and business adaptation [3] - The standards were led by Industrial and Commercial Bank of China and involved collaboration with major industry players like China Mobile, Huawei, Tencent, and Alibaba, addressing the lack of unified norms in the application of large models in the financial sector [3][4] - The standards define core requirements including application framework, task capabilities, and security trustworthiness, establishing a comprehensive evaluation system for financial institutions' model construction, assessment, and risk management [3][4] Group 2: Company Initiatives - Qifu Technology is one of the early entrants in the financial large model sector, consistently advancing both "technology research" and "standard development" in tandem [4] - In 2023, the company formed a specialized large model team and collaborated with the China Academy of Information and Communications Technology to compile the first financial industry large model standard [4] - The company aims to launch a super intelligent agent in 2025 that enhances core lending operations by integrating modules for credit decision-making, credit assessment, and compliance assistance, thereby providing a practical example of standardized technology implementation [4][5] Group 3: Future Directions - The recognition as one of the "Top Five Group Standards" is seen as a positive affirmation of Qifu Technology's efforts in promoting industry standardization [5] - The company plans to continue collaborating with academic and research partners to deepen technological research and practical transformation, actively participating in the construction of industry standard ecosystems [5]

Core Insights - Qifu Technology, in collaboration with Fudan University and South China University of Technology, has launched the first multimodal evaluation benchmark for credit scenarios, named FCMBench-V1.0, aimed at enhancing AI applications in credit assessment [1][2] - The benchmark is designed to address real credit business scenarios, focusing on multi-modal evaluation tasks that reflect practical business needs, thereby promoting academic research and application in credit AI [1] - Unlike traditional evaluations that focus on single recognition or understanding capabilities, this benchmark assesses model capabilities relevant to key processes in micro-enterprise credit granting, such as multi-document recognition and risk clue discovery [1] Summary by Sections - **Benchmark Development**: The FCMBench-V1.0 provides a standardized evaluation platform to foster collaboration between academia and industry, enabling fair comparisons of AI model capabilities in the credit field [1] - **Data and Framework**: The benchmark includes a highly consistent evaluation framework with 18 core credit document types, comprising 4,043 compliant images and 8,446 test samples, covering the entire credit review process [2] - **Industry Impact**: This initiative aims to break down data and knowledge barriers within the industry, facilitating a shift from "single-point optimization" to "collaborative innovation" between academia and financial technology companies [1]

Group 1 - The core viewpoint of the news is the recognition of Qifu Technology as one of the top 100 private service enterprises in the Yangtze River Delta for 2025, highlighting its contributions to the artificial intelligence sector and the real economy [1] Group 2 - Qifu Technology has significantly enhanced risk identification accuracy, operational efficiency, and user experience by integrating AI capabilities into the financial service chain, effectively connecting financial institutions with small and micro market entities and individual consumers [3] - As of the end of the third quarter this year, Qifu Technology has established partnerships with 167 financial institutions, providing stable and efficient digital credit support to over 62 million credit users, thereby supporting the operational development of small and micro enterprises and meeting individual consumption needs [3] - Looking ahead, Qifu Technology aims to deepen technological innovation and cultivate new productive forces centered around AI, with a commitment to improving development quality and creating new advantages for future growth [3]

Core Insights - The 2025 Black and Gray Industry Detection Skills Competition concluded successfully, showcasing the practical capabilities in cybersecurity, with over 200 top teams participating nationwide [1] - Qifu Technology won the "Team Gold Award" in the Thunder Group of the Black and Gray Industry Technology Countermeasure Track, highlighting its strong capabilities in financial fraud prevention technology [1] - Qifu Technology's expert, Wu Yechao, received the "Outstanding Coach Award," further emphasizing the company's expertise in the field [1] Company Achievements - Qifu Technology has established a comprehensive defense system centered around the "Shanhai" anti-fraud system, integrating "domain name resolution + content features + AI risk analysis" for multi-dimensional assessment [1] - The company's model processes an average of 600,000 high-risk clues daily, has issued over 1.22 million warnings for malicious websites, and has blocked over 7,400 counterfeit websites/apps, preventing fraudulent transactions worth 287 million yuan [1][2] - The model achieves over 95% accuracy in identifying fraudulent websites, addressing industry challenges such as "zero-sample" fraud detection and incomplete risk tracing [1] Future Directions - Qifu Technology aims to deepen the application of AI large models in fraud prevention, sharing technical experiences and promoting the establishment of industry standards for fraud prevention technology [3] - The company is committed to enhancing risk control levels across the industry and contributing to the fight against financial black and gray industries, thereby maintaining social security and stability [3]

Core Viewpoint - The event highlighted the importance of corporate social responsibility (CSR) in sustainable development and recognized companies that excel in this area [1] Group 1: Event Overview - The "Technology Empowerment · Capital Breakthrough" sharing session was held online by Gelonghui [1] - The annual list of outstanding companies was announced during the event [1] Group 2: Award Recognition - Qifu Technology-S (3660.HK) received the "Annual Social Responsibility Award" in the Gelonghui "Golden Award" annual selection [1] - The award acknowledges the company's long-term commitment to fulfilling social responsibilities and recognizes its management quality and personnel competence [1] - A strong sense of social responsibility is deemed essential for a company's sustainable development and competitiveness [1]

Group 1 - The core viewpoint of the article highlights that Qifu Technology has been awarded the "Social Responsibility Award" for its solid practices in social responsibility and sustainable development, reflecting the capital market's recognition of its commitment to "technology for good" [1][10] - Qifu Technology systematically applies its core financial technology capabilities to address social issues such as inclusive finance, consumer protection, and rural revitalization, thereby building strong commercial competitiveness [3][4] - The company has established partnerships with 167 financial institutions, providing stable and efficient digital credit support to over 62 million credit users, significantly aiding small and micro enterprises [4][5] Group 2 - In 2024, Qifu Technology assisted financial institutions in providing loans of 100.37 billion yuan to small and micro enterprises, accounting for 31.2% of the company's overall business scale [4] - The company also supported the rural revitalization strategy by facilitating 12.44 billion yuan in loans to the agricultural sector, benefiting 3.98 million farmers [4] - Qifu Technology integrates green concepts into its daily operations, optimizing technology to reduce energy consumption and actively participating in various public welfare projects [8][7] Group 3 - The company has established a comprehensive responsibility system, enhancing its ESG governance structure and focusing on user protection, green operations, and community building [6][7] - Qifu Technology's commitment to social responsibility is seen as a strategic investment that enhances corporate resilience, shapes brand reputation, attracts talent, and ultimately drives long-term value growth [8][10] - The recognition from the "Golden Award" signifies that companies capable of aligning their growth with social progress are more likely to gain long-term capital favor in the current business environment [10]