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金山云 (KC.US、03896.HK) 2026年第二季度业绩电话会
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Kingsoft Cloud reported a record Q2 2026 revenue of RMB 3.07 billion, a 31% YoY increase, driven by AI cloud services. Achieved first positive operating profit with 4.0% margin. Plans include AI demand capitalization, infrastructure investment, and product expansion, aiming for sustainable shareholder value.
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Kingsoft Cloud's Q2 2026 Earnings: Advancing AI Cloud Services and Sustainable Growth
Kingsoft Cloud discusses its second quarter 2026 earnings, highlighting progress in AI cloud services, sustainable growth, and opportunities in the open-source model ecosystem. The company remains committed to technology leadership and expanding its AI cloud offerings for various industries.
First AI's Robust Growth: Record Revenue, Enhanced Profitability, and Diversified Customer Base
First AI achieved record revenue of R&B 3.07 billion, a 31% YoY increase, with AI cloud revenue up 82%. Adjusted gross margin rose to 15.4%, and operating margin reached 4.0%. The company's customer mix improved, with ecosystem revenue growing 28% and top non-ecosystem customers contributing 61% of total revenue, showcasing a diversified and resilient business model.
Q2 2026 Business Progress: Hybrid Cloud Revenue Growth, AI Expansion, and Strategic Partnerships
In Q2 2026, hybrid cloud revenue surged 45% year-over-year to R and B 2.36 billion. The company expanded AI across its ecosystem, strengthened software capabilities, and formed strategic partnerships in digital health and computing. Notable achievements include launching AI-driven products, optimizing model deployment, and enhancing private AI infrastructure. The company aims to capture ecosystem opportunities, improve asset efficiency, and bolster profitability amid AI industry growth.
Q2 Financials Highlight: AI Cloud Growth, Breakeven on Track, Enhanced Profitability
The company reported a historic Q2 revenue of over $3 billion, with AI cloud growth surging 82% YoY. It achieved breakeven at the operating income level, recording a 4% operating profit margin. The adjusted EBITDA margin hit 36%, up from 70% last year, driven by strong AI demand and operational efficiency gains. Capital expenditures for AI infrastructure increased, signaling continued investment in AI capabilities.
Impact of Open Source Models on Business Strategy and Resource Allocation
Discusses how advancements in open-source models influence business demand, particularly in mainland China, and outlines strategies for balancing computing power and smart business resources amidst market fluctuations.
Progress in Ship Procurement, CapEx Updates, and Enterprise Cloud Growth
Discussed advancements in ship procurement amidst supply challenges, emphasizing the expansion of partnerships and suppliers to ensure industry growth. Provided insights on CapEx volatility and its annual alignment with expectations. Highlighted the accelerating revenue from enterprise cloud, discussing its full-year growth potential and medium-term positioning within AI transformation.
Analysis of Enterprise Cloud Segment Growth Amidst Budgeting Adjustments and Business Model Shifts
The dialogue discusses the perceived slow growth in the enterprise cloud segment, attributing it to budgeting adjustments by SOE companies and government agencies, as well as a shift from project-based to operating-based business models, which impacts financial reporting and strengthens the pipeline for the second half of the year.
Cloud Services Competitive Advantage and Pricing Trends
Discussion covered cloud service provider's competitive edge in mass services, emphasizing proprietary computing power for profitability. Also, addressed pricing trend impacts on AI cloud revenue, noting successful cost hikes passed to customers, enhancing profitability in storage and computing power. Future positioning hinges on proprietary models and user ecosystems, aiming for sustainable margins.
Strategies for Enhancing Model Provision and Service Reliability in Cloud AI
Discussed strategies for offering top models and stable services, emphasizing close collaboration with leading model providers, leveraging technological capabilities for high availability and reliability, and optimizing inference efficiency with LLM firm labs to match industry standards.
Analysis of ROIC and Business Model Efficiency in Computing Power and AI Services
Discussion focused on Return on Invested Capital (ROIC) and marginal changes for computing power leasing and AI as a service models. Emphasized continuous improvement in operating leverage and capital efficiency through business structure optimization and AI commercialization. Highlighted disciplined investment strategies and demand-driven growth. No further questions were taken, concluding the session with an invitation for post-call inquiries.
要点回答
Q:What is the main focus of Kingsoft's second-quarter 2026 earnings call?
A:The main focus of Kingsoft's second-quarter 2026 earnings call is to discuss the company's business performance and key developments, as well as to review the financial results with the participants.
Q:How has Kingsoft's profitability changed according to the adjusted gross margin and adjusted operating margin?
A:Profitability has improved with an adjusted gross margin of 15.4%, up 2.4 percentage points year over year. The adjusted operating profit margin reached 4.0%, reflecting the company's efforts to capture AI opportunities, improve revenue quality, and drive greater operating efficiency.
Q:What is the impact of AI cloud business on Kingsoft's customer mix?
A:The customer mix has continued to improve, with stronger momentum both within and outside the ecosystem. Revenue from the Sony and Kings Health ecosystem grew 28% year over year to RMB 810 million, accounting for 26% of total revenue. Revenue from the top five non-ecosystem customers grew 61%.
Q:What diversification has Kingsoft achieved with its AI cloud business?
A:Kingsoft's AI cloud business serves a broad range of industries including internet services, frontier AI labs, embodied AI, autonomous driving AI, and online video, among others. This diversified customer base supports continued growth and allows for more practical allocation of computing resources, strengthening pricing power and business resilience.
Q:How did hybrid cloud revenue grow for Kingsoft in the second quarter?
A:Hybrid cloud revenue reached RMB 2.36 billion, up 45% year over year, driven by continued expansion of AI across the humani home ecosystem with Xiaomi and advancement of Wcs AI as the strategic cloud platform for the xmi engine self ecosystem.
Q:What major agreement did Kingsoft sign with the Nanjing Communications Administration of the Yangtze River?
A:Kingsoft signed an agreement with the Nanjing Communications Administration of the Yangtze River to build Jianghai Cloud, a dedicated digital infrastructure platform for Yangtze River shipping.
Q:What is the status of Kingsoft's full-stack AI capabilities and recent technological upgrades?
A:Kingsoft is in the process of upgrading its full-stack AI capabilities for intelligent computing and AI application deployment. This includes model deployment optimization for high concurrency inference, the launch of agent kits, and general-purpose cloud products like database and storage becoming easier for AI agents to access and use.
Q:What are Kingsoft's strategic priorities going forward?
A:Going forward, Kingsoft will continue to capture opportunities both within and outside its ecosystem, improve the operating efficiency of computing assets, and strengthen profitability and cash generation capability. The company remains committed to creating long-term sustainable value for customers and shareholders.
Q:What financial milestones did Kingsoft achieve in the second quarter?
A:Kingsoft achieved several financial milestones in the second quarter, including revenue reaching over 3 billion for the first time, AI cloud growth bill increasing 82% year over year, adjusted gross margin reaching 15.4%, adjusted EBITDA margin of 36%, and breakeven at the operating income level with a positive operating profit margin of 4%.
Q:What is the year-over-year growth in total revenue and how is it composed?
A:The total revenue for the second quarter of 2020 was 3070.2 million, up 31% year over year, and included 40% from party club revenues. Compared to the same quarter last year, these revenues grew from 2000.625 million to 2244.358 billion. Additionally, 740 million from 85 close 70, which is a slight decrease of 1% year over year.
Q:What are the major factors contributing to the increase in total cost revenues?
A:The total cost revenues increased by 30% year over year to 2000.606 million, primarily due to continued investment in cloud infrastructure. IDC costs increased by 23% to 803 million, mainly from a 75% rise in the cost of services provided to education and organizations, which rose from 552 million to 964 million. Solution development and service costs also rose by over 18 million due to higher costs in AI configuration and solution development.
Q:How did adjusted operating expenses evolve, and what is their impact on profitability?
A:The adjusted operating expenses were 391000030 degrees, down from 560 million in the same quarter last year and from 455 million in the last quarter. Expenses such as share-based compensation were excluded. Research and development expenses were up 11% year over year to 184 million, while adjusted selling and marketing expenses decreased by 7% to 102 million, and general and administrative expenses fell by 61% to 107 million, largely due to lower critical loss expenses. Adjusted operating profit was 124 million, which is an improvement from the same quarter last year.
Q:What is the adjusted operating profit margin, and how does it compare to prior periods?
A:The adjusted operating profit margin was over 166, which represents a significant improvement from 7.1% in the same quarter last year and from -3.2% last quarter. The adjusted net income was 6 million, down from 300 million in the same quarter last year and 237 million in the prior quarter. Non-GAAP net income was 1.100 million, which is a substantial increase from 406 million in the same quarter last year.
Q:How does the company intend to capitalize on the growth in AI demand?
A:The company plans to capitalize on the existing growth in AI demand by further investing in infrastructure, expanding product and service offerings, managing increasing and liquid risk, and enhancing operating efficiency. It remains committed to its all-in AI strategy and aims to deliver high-quality growth to its shareholders.
Q:What was the impact of the open source model on the company's smart business, and which use cases are driving its growth?
A:The development in open source model capabilities has had a positive impact on the company's smart business. There is significant demand from Bicos and traditional models, and mainland China has adopted 'made in China' larger average models. The use of 'agent scenarios' has also benefited the company's car business. The launch of the agent kit product has standardized session aid. Chinese models are chosen for their value and efficiency in routine tasks, supporting a broad range of model development.
Q:How does the company manage the balance between its computing power business and the math business?
A:The company operates different models for its computing power and math businesses. For computing power, the utilization is 100% with long-term contracts ensuring consistent use. For the math business, factors such as token price fluctuations, model launches, and operational efficiency influence its performance. The company aims to balance these models, allowing each to complement the other, and dynamically evaluates them to decide resource allocation.
Q:What is the progress of the ship procurement and the outlook for 0 CapEx?
A:The progress of ship procurement and the outlook for zero CapEx were not explicitly provided in the transcript; however, the text implies that these topics were part of the discussion.
Q:What challenges is the market facing with the supply of a certain product?
A:The market has been facing challenges due to a limited supply, which has now become a new norm. These supply difficulties are long-term and have not restricted the Chinese quantum computing AI industry's development.
Q:What is the impact of volatility in CapEx numbers on financial forecasts?
A:The impact of volatility in CapEx numbers is that they are not linear and can be quite volatile from month to month due to large amounts spent in a relatively small number of purchases. However, the company's full-year CapEx estimate remains in line with expectations and past samples.
Q:How is the enterprise cloud segment's growth expected to be affected in the short term?
A:The enterprise cloud segment's growth is expected to be impacted in the short term due to a change in government spending, causing SOE companies and government agencies to adjust their budgeting and delay decision-making processes. The segment's revenue recognition is usually concentrated in the second half of the year, and there is a strong pipeline for delivery.
Q:What is the competitive advantage of the company in the mass services market?
A:The company's competitive advantage in the mass services market comes from not having an in-house or proprietary model, allowing them to sell various models preferred by customers and having their own computing power to secure significant profitability.
Q:What is the latest trend in overall pricing within the company's products and solutions?
A:The latest trend in overall pricing is characterized by price increases for storage and computing power. The company was able to pass on the increase in costs to customers and improve profitability through these price hikes.
Q:How should one think about the company's long-term positioning and sustainable margin level in the market?
A:The company's long-term positioning in the market and sustainable margin level should be thought of in terms of offering top models and stable services to customers, maintaining good relations with major model providers, and optimizing model inference with these providers. The company aims to provide highly available and reliable services and improve profitability through continuous improvement and optimization.
Q:What is the ROIC for the company's two business models and how has the marginal change been?
A:The company does not disclose the ROIC for computing power leasing and model as a service separately, but they have seen continuous improvement in operating leverage as their airi business scales, resulting in a trend of positive model adjusted operating profit. The LSC is expected to keep improving over time.
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