Peng Zhao
Analyst · Morgan Stanley
[Interpreted] Hello, everyone. Thank you for joining our company's Second Quarter 2025 Earnings Conference Call. On behalf of the company's employees, management team and Board of Directors I would like to stand over sincere gratitude to our users, investors and friends, who have continuously believing and supporting us. Today, I would like to report on four matters. First, our quarterly performance was good. Second, the supply demand dynamics on our platform continues to improve. Third, we are making ongoing progress in AI. And fourth, our recent Hong Kong share offering and the future shareholder return arrangements. Let me start with an overview of our financial performance. In the second quarter, our company achieved a total revenue of RMB 2.1 billion, up 9.7% year-on-year. Our net income reached RMB 710 million, reflecting a 70.4% year-on-year growth, achieving a net profit margin exceeding 33%. Excluding share-based compensation expenses and other income, such as investment gains, our adjusted operating profit was RMB 880 million, up 33% year-on-year. Share-based compensation expenses for this quarter decreased by nearly 10% quarter-on-quarter for the second consecutive quarter, amounting to RMB 230 million, with a ratio to revenue narrowed by about 5 percentage points year-on-year. The operating leverage from the economics of scale and the efficient business model supported our high-quality growth, characterized by simultaneous improvement in both revenue and profit. From January to July, we cumulatively added over 30 million verified new users. In the second quarter, the average verified among the active users on the BOSS Zhipin app reached 63.56 million, up 16.5% year-on-year, consistent with user growth and penetration trips, revenue contributions from blue-collar, lower-tier cities and small and medium-sized enterprise further increased compared to last year. Second, during the second quarter and graduation season, we saw notable improvements in our platform's job-hire demand dynamics. Specifically, on the job seeker side, incremental job seeking demand from graduate moderated with number of newly added verified graduates declining over 20% year-on-year in June and July. On the employer side, recruitment demand for fresh graduates also increased. The number of new job openings for fresh graduates grew by over 18% year-on-year for the same period. This aligns with the overall trend recovery in the recruitment market. In July, the number of newly posted jobs on our platform increased by approximately 20% year-on-year. Both the number of employers posting new jobs and average number of jobs posted per recruiter were higher than the same period last year. The improvement in supply and demand relationships also led to a significant year-on-year decrease in the CB ratio for new users. Improved supply-demand dynamics also drove positive changes in monetization. The total paid enterprise customers in the 12 months ended June 30, reached RMB 6.5 million, up 10% year-on-year. From industry perspective, blue-collar manufacturing experienced a short-term slowdown in import due to tariffs but resumed year- on-year growth from May onwards with growth rate continuing to outpace other industries. Urban service sector saw accelerated year- on-year growth in the second quarter. We observed a noticeable recovery in the Internet industry with a number of active job openings in the second quarter, reaching a new high since 2021, led by product and technical roles. Third, the company's continued progress in AI. I will speak to the three perspectives: AI to C job seekers and AI to B enterprise users and AI to management. First, AI to job seekers. The AI-interviewed training robot has made some new progresses. This robot now start to place a role in recommendations. Upon the job seekers' consent, we use data obtained during the interview process to recommend positions to job seekers and users who participated in the experimental tool have achieved higher efficiency. We continue to iterate AI-assisted user search for users participating in the test, not only, the AI can give you more explanation for the research results, it can also provide dynamic content summaries, job search strategy planning and revenue optimization guides based on user queries. Users in the environmental tools gained more mutual achievements. In terms of protecting job seeker's safety, we have applied AI to identify risks in users. For instance, we have trained AI to recognize more sectoral aggressive language and expressions that validate platform use. Another example is that the AI tools, we developed, have made preliminary growth in identifying free content tempered by other AI. This is obviously a long-term and a challenging task, but we firmly believe that more people are in need of such function. Next, about AI to enterprises. We provide AI-assist in job posting optimization features for bosses of many newly established start-ups and junior HR. Currently, AI assists in posting tens of thousands of job positions on a daily basis. The key point here is how to prevent turning assistance into placement. It is difficult, but we must perceive in doing so. In terms of commercialization, we have extensively integrated AI to conduct environment for instance, we use AI to income withstanding of the future's intention thereby helping them to select value-added services, which are more suited to their needs. Recruiters in the experimental group have made more proactive purchases and because they have choose the more suitable products, the repeat purchase have also increased. Now, AI tool management. We promote the use of AI in research and development transforming R&D tools and processes in a certain technical department at the Beijing headquarters, 30% of the coding is now AI-generated. In another city, a newly established R&D department, 70% of the code is AI-generated. As a result, the speed of product R&D iteration and launch has significantly increased, allowing us to explore more possibilities within the same time frame. AI is playing an increasingly important role in customer service. It has achieved results in training new customer service staff, automatically inspecting customer service quality and providing suggestions to recognizing and responding to customer emotions. This is crucial for improving user satisfaction and enhancing the well-being of customer service employees. The last one, we would like to report our recent Hong Kong offering and shareholder return arrangements. The company completed a Hong Kong secondary share offer of HKD 2.2 billion on July 4. The primary purpose was to enhance the liquidity in Hong Kong line, allowing more investors in the Hong Kong stock market to understand and participate in the company's trading. The offer has achieved positive results with a significant increase in Hong Kong stock trading volumes compared to the pre-offering levels. Regarding shareholder returns, the Board of Directors approved the two shareholder return proposals today. First, the annual dividend policy was adopted, the company plans to pay out annual dividends going forward with dividend of USD 80 million for the current fiscal year. Second, a new share repurchase program and the faith cumulative perspective is launched, the company intends to repurchase up to $250 million of these shares over the next 12 months starting August 29. We believe this fully demonstrates the company's sincerity in actively rewarding shareholders and showing the benefits of our sustained growth with all investors. That concludes my part of the call. I'll now turn it over to our CFO, Phil, for the review of our financial.