KE Holdings Inc. (BEKE) Q3 2025 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
The earnings call presents a mixed outlook. Positive aspects include strong growth in home rental services and cost control measures. However, the decline in gross profit and operating margins, coupled with unclear guidance on new home business growth, tempers enthusiasm. The Q&A section reveals concerns about market volatility and management's vague responses, which may cause investor uncertainty. The expanded share repurchase program is a positive signal, but without market cap information, the overall impact remains neutral.
Key Financial Performance
Total GTV RMB 736.7 billion, remaining flat year-over-year.
Total revenues RMB 23.1 billion, up 2.1% year-over-year.
Gross margin 21.4%, declined by 1.3 percentage points year-over-year. The decline was mainly due to the structural impact from a lower revenue proportion of existing home and new home business, which had relatively high contribution margins, as well as the decrease in contribution margin from the existing home business. This was partially offset by the increase in contribution margin from the home rental services.
GAAP net income RMB 747 million, down 36.1% year-over-year. The decline was attributed to lower gross margin and increased operating expenses.
Non-GAAP net income RMB 1.29 billion, down 27.8% year-over-year. The decline was attributed to lower gross margin and increased operating expenses.
Existing home transaction revenue RMB 6 billion, down 3.6% year-over-year. The decline was due to a higher GTV contribution from connected agents for which revenues are recorded on a net basis.
Existing home transaction GTV RMB 505.6 billion, up 5.8% year-over-year. The growth was due to a higher GTV contribution from connected agents.
Existing home business contribution margin 39%, declined by 2 percentage points year-over-year. The decline was primarily due to relatively stable fixed labor costs amid the revenue decline.
New home transaction GTV RMB 196.3 billion, down 13.7% year-over-year. The decline was due to market conditions and structural shifts.
New home transaction revenue RMB 6.6 billion, down 14.1% year-over-year. The decline was in line with GTV performance, reflecting steady monetization capability.
New home business contribution margin 24.1%, down 0.7 percentage points year-over-year. The decline was due to an increase in variable costs resulting from agent benefit improvements last year.
Home renovation and furniture business revenue RMB 4.3 billion, relatively flat year-over-year.
Home renovation and furniture business contribution margin 32%, up 0.8 percentage points year-over-year. The increase was driven by reduced procurement costs from centralized purchasing and decreased labor costs due to enhanced order dispatching efficiency.
Home rental services revenue RMB 5.7 billion, up 45.3% year-over-year. The growth was driven by rapid growth in the number of rental units under management.
Home rental services contribution margin 8.7%, up 4.3 percentage points year-over-year. The increase was largely driven by improved gross margin from the Carefree rent business.
Emerging and other services revenue RMB 396 million, down 18.7% year-over-year.
Store costs RMB 663 million, down 5.8% year-over-year. The decline was mainly due to lower store rental costs.
Gross profit RMB 4.9 billion, down 3.9% year-over-year. The decline was due to lower gross margin.
GAAP operating expenses RMB 4.3 billion, down 1.8% year-over-year. The decline was due to lower personnel expenses and reduced advertising and promotion expenses.
G&A expenses RMB 1.9 billion, relatively flat year-over-year. The stability was due to decreased bad debt provisions and reduced share-based compensation expenses.
Sales and marketing expenses RMB 1.7 billion, down 10.7% year-over-year. The decline was due to lower personnel expenses and reduced advertising and promotion expenses.
R&D expenses RMB 648 million, up 13.2% year-over-year. The increase was largely driven by higher personnel expenses.
GAAP income from operations RMB 608 million, down 16.4% year-over-year. The decline was due to lower gross margin and increased operating expenses.
GAAP operating margin 2.6%, down 0.6 percentage points year-over-year. The decline was due to lower gross margin and increased operating expenses.
Non-GAAP income from operations RMB 1.17 billion, down 14% year-over-year. The decline was due to lower gross margin and increased operating expenses.
Non-GAAP operating margin 5.1%, down 1 percentage point year-over-year. The decline was due to lower gross margin and increased operating expenses.
Net operating cash inflow RMB 851 million in Q3.
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Operating Highlights
AI-powered tools for housing transactions: Upgraded AI tools for identifying high-quality business opportunities, contributing over 50% of transaction volume despite being a single-digit percentage of total leads.
Home renovation and furniture services: Replicated productized showroom model in multiple cities and expanded centralized procurement categories to reduce costs and improve quality.
Home rental services: Launched new 09 products in 10 cities, offering diversified service options and improving operational efficiency through AI-powered tools.
Expansion in home renovation and furniture services: Replicated productized showroom model in multiple cities and adopted localized sourcing standards.
Growth in home rental services: Increased rental units under management to over 660,000, up from 370,000 in 2024, with revenue reaching a record high of RMB 5.7 billion.
AI integration in operations: AI-driven tools improved efficiency in housing transactions, home renovation, and rental services, including pricing, property evaluation, and marketing.
Cost optimization: Reduced procurement and labor costs in home renovation services and improved gross margin in rental services.
Shift from scale to efficiency: Focused on enhancing operational efficiency and profitability through AI and restructuring.
AI-driven home rental operations: Integrated AI across rental services, achieving significant efficiency gains and cost savings.
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Risk or Challenges
Decline in Gross Margin: Gross margin declined by 1.3 percentage points year-over-year to 21.4%, primarily due to structural impacts from lower revenue proportions in high-margin segments like existing and new home businesses.
Revenue Decline in Key Segments: Revenue from existing home transactions decreased by 3.6% year-over-year and 10.8% quarter-over-quarter. Revenue from new home transactions also fell by 14.1% year-over-year and 23% quarter-over-quarter.
Profitability Challenges: GAAP net income dropped by 36.1% year-over-year and 42.8% quarter-over-quarter, while non-GAAP net income fell by 27.8% year-over-year and 29.4% quarter-over-quarter.
High Fixed Labor Costs: Contribution margins in existing and new home businesses declined due to relatively stable fixed labor costs amid revenue declines.
Economic and Market Fluctuations: The company faces short-term business challenges due to external market fluctuations and internal strategic transformations.
Operational Efficiency Risks: Efforts to optimize operational efficiency through AI and restructuring may not yield expected results, posing risks to cost management and profitability.
Non-Standardization in Home Rental Services: The fragmented and non-standardized nature of the home rental industry presents challenges in achieving scalable and efficient operations.
Increased R&D Expenses: R&D expenses rose by 13.2% year-over-year, driven by higher personnel costs, which could pressure margins if not offset by revenue growth.
Dependence on AI Integration: Heavy reliance on AI for operational improvements and decision-making introduces risks if the technology fails to deliver expected efficiencies or faces implementation challenges.
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Guidance & Outlook
Shift from scale to efficiency: The company is strategically shifting its growth engine from scale to efficiency, focusing on innovative initiatives to enhance operational and marketing excellence.
AI integration in home rental services: AI has been fully integrated into the rental services business, enabling end-to-end intelligent decision-making and business operations. This includes AI-powered property evaluation, pricing strategies, and operational optimization, which have led to significant cost savings and efficiency improvements.
Home seller and buyer agent specialization: The company is piloting a seller and buyer agent specialization mechanism in Shanghai to enhance marketing and operational excellence. This initiative includes redefining roles, commission structures, and performance incentives, supported by AI-powered tools.
Expansion of AI-driven operations: AI applications are being expanded across various business dimensions, including property evaluation, pricing, and operational processes, to address nonstandardization and improve scalability.
Profitability in home renovation and rental services: Both home renovation and rental services have achieved profitability at the city level before deducting headquarter expenses, with the rental services contributing over RMB 100 million in profits in Q3.
AI-powered rental unit sign-up assistant: The company has rolled out an AI-powered rental unit sign-up assistant that predicts market demand, property inventory, and price trends, enabling dynamic pricing and operational adjustments.
AI-driven efficiency in home rental services: AI-driven operational systems in home rental services have led to scalable and personalized services, overcoming traditional industry constraints and achieving significant efficiency gains.
Future focus on AI integration: The company plans to deepen AI integration across business scenarios to enhance service providers' capabilities and consumer experiences.
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Shareholder Return Plan
Share Repurchase Spending: The single quarter share repurchase spending reached its highest level in the past 2 years, amounting to approximately USD 281 million in Q3 2025.
Cumulative Share Repurchase in 2025: From Q1 to Q3 2025, the company spent a cumulative amount of approximately USD 675 million on share repurchases, up 15.7% year-over-year.
Total Share Repurchase Since Program Launch: Since the launch of the share repurchase program in September 2022, the company has repurchased around USD 2.3 billion worth of shares, accounting for about 11.5% of the total issued shares before the program began.
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Key Q&A
Q:Why has the company's new home business growth potential diminished, and what are the future growth opportunities?
A:The company's new home business growth potential has diminished due to market volatility, attractive pricing of existing homes compared to new homes, and a high base effect from policy-driven transactions in the previous year. Future growth opportunities include expanding into more cities, increasing broker channel penetration, enhancing service capabilities, and piloting lighter product offerings in lower-tier cities. The company also plans to optimize content development, operational strategies, and focus on high-end products.
Q:How did the leasing service business turn last year's losses into operating profit by Q3 this year, and what opportunities remain for further improvement?
A:The leasing service business achieved profitability through economies of scale, a light asset model, and improved operational efficiency. Managed units increased by 75% year-over-year, and revenue grew by 45.3%. Contribution profit rose significantly, driven by a shift to net revenue accounting and optimized labor costs. Future opportunities include scaling rental units, diversifying rental channels, reducing labor costs, and expanding value-added services with AI and digital capabilities.
Q:What factors contributed to the success of the renovation business in Beijing and Shanghai, and how does the company plan to expand into second and third-tier cities?
A:The success in Beijing and Shanghai is attributed to high market share and effective agent cross-selling. Expansion into second and third-tier cities will focus on leveraging lower property costs, improving agent engagement through incentives, and using AI to identify high-potential properties. The company is currently concentrating resources in core cities to ensure sustainable growth before scaling into additional cities.
Q:What measures has the company implemented to control costs and expenses, and what outcomes have been observed?
A:The company has reduced costs through organizational optimization, streamlined labor and variable costs, supply chain integration, and AI-driven efficiency improvements. Outcomes include reduced labor costs, increased gross profit margins, lower material costs, and decreased store expenses. R&D investments have increased, particularly in AI, to enhance operational efficiency. Marketing and G&A expenses have also been optimized, leading to significant cost savings.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing the specific reasons for the diminishing alpha in the new home business and provided a broad explanation without detailed data or clarity on the timeline for achieving growth targets.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
CEO Stanley
Chief
Conference Instructions
Conference scale
DSO level
GA debt
GTV revenue
GTV shift
Holdings Beike
Mr Tao
Mr development
Officer Mr
Secretary evening
Siting Conference
Siting Investor
Tao Siting
USD industry
USD share
addition USD
advertising promotion
agent benefit
agent specialization
agent system
amount end
assessment pricing
basis GTV
city level
decline labor
efficiency AI
empowerment
fluctuation
furniture service
home listing
income Non
labor cost
office
point decline
point increase
procurement
renovation furniture
rent
service AI
service profitability
site
BEKE Transcript
KE Holdings Inc. (BEKE) Q1 2026 Earnings Call Transcript
Positive5-19
The earnings call summary highlights strong financial performance with a 15% YoY revenue increase, a 25% rise in net income, improved gross margins, and higher operating cash flow. These factors indicate robust financial health and operational efficiency. Despite the lack of strategic insights or risk assessments, the positive financial metrics suggest a favorable market reaction, likely resulting in a stock price increase of 2% to 8% over the next two weeks.
KE Holdings Inc. (BEKE) Q4 2025 Earnings Call Transcript
Unknown3-16
Despite AI-driven efficiencies and profitability in home rental services, the company faces significant revenue declines and increased operating losses. The Q&A reveals a shift towards efficiency, but management's avoidance of specifics raises concerns. The negative financial performance, especially with declining gross profits and net income, outweighs the positive AI integration and rental growth. The overall sentiment is negative, predicting a stock price decrease of -2% to -8%.
KE Holdings Inc. (BEKE) Q3 2025 Earnings Call Transcript
Unknown11-10
The earnings call presents a mixed outlook. Positive aspects include strong growth in home rental services and cost control measures. However, the decline in gross profit and operating margins, coupled with unclear guidance on new home business growth, tempers enthusiasm. The Q&A section reveals concerns about market volatility and management's vague responses, which may cause investor uncertainty. The expanded share repurchase program is a positive signal, but without market cap information, the overall impact remains neutral.
KE Holdings Inc. (BEKE) Q2 2025 Earnings Call Transcript
Unknown8-26
The earnings call presents a mixed picture. While there are positive aspects like growth in new home transactions and home renovation revenue, there are significant declines in gross margin and net income. The Q&A highlights management's focus on efficiency and AI, but also reveals concerns over policy uncertainties and vague responses on future market trajectories. The shareholder return plan and cash liquidity are positives, but the overall sentiment, considering the market outlook and financial metrics, remains neutral.
BEKE Report
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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.
