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  4. Kingsoft Cloud Holdings Limited (KC) Q4 2025 Earnings Call Transcript

Kingsoft Cloud Holdings Limited (KC) Q4 2025 Earnings Call Transcript

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KC
Kingsoft Cloud Holdings Ltd
9.44 USD
+3.40%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call summary shows strong revenue growth, strategic investments in AI and cloud services, and improved profitability. The Q&A highlights effective pricing strategies and a growing model-as-a-service business, which are positive indicators. Despite some concerns about competition and unclear responses, the overall sentiment is optimistic, supported by strategic partnerships and expanding market presence.

Key Financial Performance

Quarterly Revenue Historical high of RMB 2.76 billion, representing a year-over-year growth of 24%. This growth was driven by strong performance in public cloud services and AI business.

Public Cloud Services Revenue RMB 1.9 billion, a year-over-year increase of 35%. Growth attributed to the surge in demand for intelligent computing and AI-related services.

AI Business Gross Billing RMB 926 million, representing a 95% year-over-year growth. This was driven by explosive demand for AI services, contributing 49% of public cloud services revenue.

Xiaomi and Kingsoft Ecosystem Revenue RMB 804 million, a 63% year-over-year increase. Growth due to strong ecosystem partnerships and deepening collaborations.

Top 5 Non-Ecosystem Customers Revenue Growth 44% year-over-year increase. Growth sustained by confidence in products and services from external customers.

Adjusted Gross Margin Increased to 17.1% quarter-over-quarter. Improvement driven by revenue structure shift and cost control measures.

Adjusted Operating Margin Reached 2.0%, achieving operating level profitability for two consecutive quarters. Improvement due to strategic focus on high-quality enterprise services and cost management.

Enterprise Cloud Revenue RMB 859 million, a quarter-over-quarter increase of 18%. Growth driven by demand for industrial intelligence solutions and AI Plus policy.

Total Cost of Revenues RMB 2,296 million, up 27% year-over-year. Increase due to investments in infrastructure to support intelligent cloud business growth.

IDC Costs RMB 812 million, a 30% year-over-year increase. Growth driven by expanding AI business needs.

Depreciation and Amortization Costs RMB 741 million, up from RMB 323 million in the same quarter of 2024. Increase due to newly acquired and leased servers and network equipment for AI business.

Solution Development and Service Costs RMB 642 million, a 50% year-over-year increase. Growth due to expansion of solution personnel.

Adjusted Operating Profit RMB 55 million, a 124% year-over-year increase. Improvement due to revenue scale expansion and expense control.

Non-GAAP EBITDA Margin 28%, up from 60% in the same quarter last year. Growth driven by AI cloud computing development and strategic business adjustments.

Capital Expenditure RMB 496 million for the quarter. Investments focused on infrastructure and AI business development.

Full Year 2025 Total Revenue RMB 9,559 million, a 23% year-over-year increase. Growth driven by public cloud services and AI-related business.

Full Year Public Cloud Services Revenue RMB 6,634 million, a 33% year-over-year increase. Growth attributed to AI-driven demand.

Full Year Enterprise Cloud Services Revenue RMB 2,925 million, a 5% year-over-year increase. Growth driven by industrial intelligence solutions.

Full Year Adjusted Gross Profit RMB 1,542 million, a 40% year-over-year increase. Growth due to revenue scale expansion and cost control.

Full Year Adjusted Operating Loss RMB 152 million, narrowed significantly from RMB 431 million last year. Improvement due to strategic focus on profitability.

Full Year Adjusted EBITDA Profit RMB 2,336 million, a 266% year-over-year increase. Growth driven by AI cloud computing and cost management.

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Operating Highlights

AI Business: Gross billing reached RMB 926 million, a 95% year-over-year growth, contributing 49% of public cloud services revenue. Delivered a new inference cluster for a top video streaming platform and secured a major fintech customer for token-based inference services.

StarFlow Platform: Upgraded with MCP (Model Context Protocol Cloud), process optimization, and AI search features to help enterprises develop and deploy AI agents.

Galaxy Stack: Provides heterogeneous GPU management, rookie network, and intelligent container scheduling capabilities for enterprises with private deployment demands.

Public Cloud Services: Revenue reached RMB 1.9 billion, a 35% year-over-year increase. Expanded customer base to include automotive manufacturing, autonomous driving, embodied AI, and fintech sectors.

Enterprise Cloud Services: Revenue reached RMB 859 million, an 18% quarter-over-quarter increase. Key growth driven by AI Plus policy and industrial intelligence solutions.

Profitability: Adjusted gross margin increased to 17.1%, and adjusted operating margin reached 2.0%. Achieved operating level profitability for two consecutive quarters.

Supply Chain: Resilient supply chain ensured sustainable business growth despite market uncertainties.

AI-Driven Strategy: Focused on AI-first, AI-native cloud architecture to support digital and intelligent transformation across sectors.

Healthcare AI: Launched data agent-based AI applications for healthcare operations, enabling proactive intervention in hospital management and solidifying competitive advantages in medical AI scenarios.

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Risk or Challenges

Supply Chain Disruptions: Despite market uncertainties, the company has built a resilient supply chain to ensure sustainable business growth. However, the mention of 'market uncertainties' implies potential risks in maintaining this resilience.

High Cost of Infrastructure: The company has significantly increased investment in infrastructure to support intelligent cloud business growth, leading to higher costs for servers and hardware equipment. This could impact profitability if not managed effectively.

Revenue Dependency on Ecosystem Partners: A substantial portion of revenue comes from Xiaomi and Kingsoft ecosystem partners, with related party transactions reaching 94% of net annual C. This high dependency could pose risks if these partnerships weaken or fail to grow.

Profitability Challenges: While profitability has improved, the company has only recently achieved operating-level profitability and remains vulnerable to fluctuations in revenue structure and cost management.

Economic and Market Uncertainties: The company acknowledges global market uncertainties, which could impact demand for its services and overall financial performance.

Regulatory and Compliance Risks: The company operates in sectors like healthcare and public services, which require strict data compliance. Failure to meet these standards could result in legal and financial repercussions.

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Guidance & Outlook

AI-driven strategy and market opportunities: The company aims to capitalize on the explosive growth in demand for AI-driven cloud services by further investing in infrastructure, enhancing service stability, managing liquidity risk, and improving operating efficiency. They are focused on providing high value-added cloud services to customers.

Public Cloud Services Growth: Revenue from public cloud services reached RMB 1.9 billion in Q4 2025, a 35% year-over-year increase. The company expects continued growth driven by AI-related services, including large-scale training and inference demand.

Enterprise Cloud Services Expansion: Revenue from enterprise cloud services reached RMB 859 million in Q4 2025, an 18% quarter-over-quarter increase. The company sees industrial intelligence solutions as a key growth driver, with opportunities in high-end manufacturing, healthcare, and public services.

AI Business Contribution: AI business gross billing reached RMB 926 million in Q4 2025, representing a 95% year-over-year growth and contributing 49% of public cloud services revenue. The company expects AI to continue driving growth across various industries.

Profitability Improvements: Adjusted gross margin increased to 17.1% in Q4 2025, and adjusted operating margin reached 2.0%. The company has achieved operating-level profitability for two consecutive quarters and aims to sustain this trend.

Capital Expenditures and Infrastructure Investments: Capital expenditure for Q4 2025 was RMB 496 million, with a focus on supporting AI business growth through infrastructure investments, including servers and network equipment.

Product and Technology Development: The company is building a next-generation computing services system for LLM training, inference, and industrial intelligence. They are upgrading their StarFlow platform and Galaxy Stack to enhance AI agent deployment and intelligent transformation across sectors.

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Shareholder Return Plan

The selected topic was not discussed during the call.

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Key Q&A

Q:How should we view our role and positioning within Xiaomi's AI strategy, and what strategies will be implemented around Xiaomi and Kingsoft service going forward?
A:Kingsoft will not develop its own large language models but will rely on Xiaomi's MiMo model as part of the Xiaomi and Kingsoft ecosystem. The strategy, called 1+N, focuses on serving the ecosystem and monetizing model-as-a-service capabilities for external customers, contributing to both training and inference revenue.
Q:How does the management view the current pricing uptrend in the cloud service industry? Has the company already adjusted prices for AI computing services, or are there any related plans in place?
A:The company anticipated supply chain price increases and stocked up key components strategically. For existing contracts with stocked resources, prices remain unchanged. For new customers or contracts with significant usage increases, prices are raised. The company aims to pass upstream cost increases to customers and increase profitability based on demand.
Q:Will KC adopt a similar strategy to shift its cloud business towards model-as-a-service, and how does it view the impact of this trend on industry competition and long-term profit margins?
A:KC has already adopted a model-as-a-service strategy through its StarFlow platform, which hosts open-source models and Xiaomi's MiMo model. This business is the fastest-growing in the company's history. The company views this as a natural stage in AI development and sees it as a profitable and competitive area.
Q:What is the impact of the low-price strategy adopted by [indiscernible] engine on the industry and KC's business this year?
A:Management has not noticed the specific low-price strategy but believes that current market dynamics, with high demand and supply chain price hikes, make lowering prices impractical. They focus more on price hikes by competitors like AliCloud and note that catalog prices may differ from actual transaction prices.
Q:What is the financial outlook for revenue, EBITDA, operating profit growth, and capital expenditure for this year?
A:For 2026, CapEx is expected to exceed RMB 10 billion, with half covered by customer prepayments. Growth rate and EBITDA are expected to accelerate. Funding will come from financing, customer receipts, prepayments, and credit facilities. Incremental resources will be leased to maintain balance sheet flexibility.
Q:What specific products or customers are driving third-party AI growth, and what is the breakdown and outlook between AI training and AI inference?
A:Top 5 non-ecosystem customers, including Internet companies, autonomous driving, and robotics, showed 44% revenue growth. Demand from outside the ecosystem is higher than within. Over half of potential demand is for inference, with the StarFlow platform growing rapidly and offering better profit margins.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing the impact of the low-price strategy by [indiscernible] engine, citing a lack of awareness of the specific news. They provided general comments on market dynamics instead of specific impacts on KC's business.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI Depreciation
AI RD
AI agent
AI cost
AI enterprise
AI era
Kingsoft ecosystem
Mr Vice
Ms
President Mr
Revenues enterprise
Vice President
Xiaomi Kingsoft
ability
component
contribution AI
cost control
development opportunity
enterprise service
equipment
expansion scale
expense
experience
expertise enterprise
fintech
health care
intelligence
leap
limit
manufacturing
market opportunity
momentum
opportunity AI
party
percentage
product service
segment
service Revenues
service increase
shift
stack
transformation
world

KC Transcript

Kingsoft Cloud Holdings Limited (KC) Q1 2026 Earnings Call Transcript
Positive5-28

The company shows strong growth in AI-driven cloud services, with significant revenue increases and positive trends in AI business contributions. Despite some concerns about margin drops and lack of specific details in the Q&A, the overall sentiment remains positive due to optimistic guidance, strategic investments, and a cooperative market strategy. The positive impact of AI advancements and strong demand outlook support a positive stock price movement over the next two weeks.

Kingsoft Cloud Holdings Limited (KC) Q4 2025 Earnings Call Transcript
Positive3-25

The earnings call summary shows strong revenue growth, strategic investments in AI and cloud services, and improved profitability. The Q&A highlights effective pricing strategies and a growing model-as-a-service business, which are positive indicators. Despite some concerns about competition and unclear responses, the overall sentiment is optimistic, supported by strategic partnerships and expanding market presence.

Kingsoft Cloud Holdings Limited (KC) Q3 2025 Earnings Call Transcript
Positive11-19

The earnings call highlights strong financial performance with significant growth in AI and cloud revenue, turning to profitability, and improved margins. Despite some execution risks and unclear guidance, the company's strategic focus on AI and cloud, along with optimistic future demand, suggests a positive outlook. The Q&A reveals analysts' interest in growth drivers and margin trends, with management addressing these positively. The absence of negative catalysts and the presence of strong growth indicators point to a likely positive stock price movement.

Kingsoft Cloud Holdings Limited (KC) Q2 2025 Earnings Call Transcript
Positive8-20

The earnings call highlights strong revenue growth driven by AI and ecosystem partnerships, a significant increase in non-GAAP EBITDA, and a robust cash position. Although there are concerns about declining gross margins and vague guidance in some areas, the overall sentiment remains positive due to strong demand and strategic investments in AI cloud services. The Q&A section reinforces this with expectations of stronger revenue growth and strategic flexibility. Despite some uncertainties, the positive aspects outweigh the negatives, suggesting a likely positive stock price movement.

KC Report

Kingsoft Cloud Holdings Ltd 6-K
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2025-10-08
Kingsoft Cloud Holdings Ltd 6-K
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2025-08-20
Kingsoft Cloud Holdings Ltd 6-K
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2025-08-20
Kingsoft Cloud Holdings Ltd 6-K
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2025-08-07

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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