KE Holdings Inc. First Quarter 2026 Earnings Conference Call

Hello ladies and gentlemen, thank you for standing by for KE Holdings first quarter 2026 earnings conference call. I am Su Ting Lee, IR director of KE Holdings. Please note that today's call including management prepare remarks and query on a session will all be in Chinese simultaneous interpretation English will be available on a separate line. To access the call in Chinese you will need to dial in the Chinese line. At this moment all participants are in listen-only mode. Today's conference calls being recorded. The company's financial and offering results were published in the press release earlier today and are posted on the company's IR website. With us today we have Mr. Stanley Pong, our co-founder, chairman, and chief executive officer, and Mr. Xu Tao, our executive director and CFO. Mr. Xu will provide an overview of our business updates and financial performance. Then Mr. Pong will share more on our strategic transformation and insights. Before we continue, I refer you to our safe hopper statement in our earnings press release which applies to this call as we will make a forward-looking statement. Please also note that Baker's earnings press release and this conference all included discussions of unaudited GAAP financial information as well as unaudited non-GAAP financial measures. Please refer to the company's press release which contains a reconciliation of the unaudited non-GAAP measures to the comparable GAAP measures. Unless otherwise stated, all figures mentioned in today's call are in RMB. Certain statistical and other information relating to the industry in which the company is engaged to be mentioned in this call has been obtained from various publicly available official or unofficial sources. Neither the company nor any of its representatives has independently verified to such data, which may involve a number of assumptions and limitations, and you are cautioned not to give undue weight to such information and advertisements. For today's call, management will use Chinese as the main language. Please note that English translation is for convenience purposes only. In the case of any discrepancy, management statements in their original language will With that, I will now turn the call over to our CFO, Mr. Xu Tao. Please go ahead. Thank you. Hello, everyone. Thank you for joining our Q1 2026 earnings call. First, let me summarize the financial highlights of the quarter. In Q1, our non-GAAP operating profit reached 1.67 billion RMB up 45.1% a year over year and 416.2% a quarter over quarter. Non-GAAP operating margins stood at 8.8% of reaching the highest level in the past seven quarters. The optimization of our cost and expenses structure in 2025 has been reflected in our operating profit in Q1 this year, and we expect it to provide a long-term positive support to our operating performance going forward. Guided by the strategic focus on balancing skill and efficiency, we have rolled out initiatives including refining desk operations and technology-driven empowerment. In Q1, the contribution margin of all of our core business lines improved year-on-year, reflecting the translation of our cost structure optimization efforts in 2025 into our income statement. We believe this is structural improvement rather than a cyclical one. Even with a year-on-year decline in the revenue in Q1, our contribution margin continued to expand, validating the release of property elasticity. Meanwhile, our operational efficiency continued to improve. The absolute amount of the R&D, selling, and administrative expenses all decreased both year-on-year and quarter-of-quarter, marking the effectiveness of our refined management and cost. Driven by the simultaneous improvement in both gross margin and operating expense ratios on a year-over-year and quarter losses, we saw further release of operating leverage with the non-GAAP net profit margin hitting a record high for the past seven quarters. In addition, we continue to deliver on our commitments to shareholders. During the quarter, we spend around 195 million U.S. dollars on share repurchases, an increasing of about 40% year-on-year. This move not only represents ongoing returns to shareholders but also underscores our firm confidence in the company's sustainable and steady development over the medium to long term. Turning to our key financial metrics for Q1 due to the high base from the real estate market in the same period last year, the group's GTV and revenue declined year-over-year. GTV was 711.2 billion RMB, down 15.6% year-over-year. The revenue was 18.9 billion, down 19% year-over-year. That said, we achieved a meaningful improvement in operating efficiency. The group's gross margin reached 24.1% up 3.5% points year-over-year, driven by gross margin expansion and improved operating efficiency. Our NAD margin also increased year-over-year. In the first quarter, GAAP net income was 1.26 billion RMB, up 46.7% a year-over-year, while the non-GAAP net income was 1.61 billion RMB, up 15.7% a year-over-year. Now, let me provide you some more details. For existing home transaction services, business scale declined year-over-year due to the high base in the same period last year, while profitability continued to improve. In Q1, GDV reached 534.4 billion RMB, down 7.9% a year-over-year, and up 10.9% a quarter-over-quarter. Revenue from existing home transaction services reached 6.1 billion RMB, down 10.7% a year-over-year, and up 12.7% a quarter-over-quarter. The GDV declined less than revenue year-over-year, mainly because of the higher proportion of existing home transaction GDV facilitated by connected agents. where revenue is recognized on a net basis at platform services fee. On a quarter-over-quarter basis, revenue growth outperforms GDV, mainly due to improvement in land draft commission rate. In particular, platform service revenue increased by 3.8% a year-over-year and 12.5% a quarter-over-quarter, outperforming the overall GDV and demonstrating resilience of our platform model. Despite the year-over-year decline in revenue scale, contribution margin for the existing home transaction services reached 41.3% at highest level in the past seven quarters. It was up 3.2 percentage point year-over-year, mainly attributable to the decline in a fixed labor cost driven by the optimization of the land address agent and store scale, as well as improved organization efficiency. The contribution margin also increased by 0.9% point quarter-over-quarter, mainly driven by the operating leverage from the revenue recovery in Q1, with fixed labor costs remain relatively stable. For new home businesses, business scale declined year-over-year due to high market abates in the same period last year. While profitability improved year-over-year, Q1 GDV reached 145.9 billion RMB, down 37.2% of year-over-year and 29.5% in quarter-over-quarter. New business revenue was 5.1 billion, down 37% of year and 30% in quarter-over-quarter. The year-on-year and quarter-over-quarter GDV performance was largely consistent with revenue, reflecting our stable monetization capability for the business segment. Even amid a significant fluctuation scale, Q1 contribution margin of a new home business was 25.7%, up 2.3 percentage points year-over-year, benefiting from cost-structure optimization brought by refined operations. It fell 2.6 percentage points a quarter-over-quarter, mainly due to the high base caused by the one-off factors in the previous quarter. For home renovation and furnishing services, Q1 revenue reached a 2.3 billion RMB, down 20.6% a year-over-year, and 35.3% over-quarter. The year-on-year and quote-over-quote revenue decline was due to our proactive exit from low quality and efficient customer acquisition channels, as well as cities with poor UE models. The contribution margin of home renovation and furnishing business was 36.2% in Q1, up 3.6 percentage points year-on-year, mainly driven by material cost savings from our continued efforts in centralized purchasing and tenor-based local procurement, as well as labor cost savings from improvement order assignment efficiency. On a quarter over quarter basis, contribution margin increased by 7.4 percentage points, mainly due to material cost savings and low base effects from certain one-off factors in previous quarter. For our home rental services, preventing Q1 reached $5 billion, representing a slightly year-over-year decline of 1.5 percent and a quarter over quarter decline of 7.4 percent. The decline was mainly due to the continued iteration of carefree rent toward a lighter and lower risk product model, with a higher proportion of the home units recognized on a net revenue basis which had a timely impact on reported revenue scale. However, this doesn't change the growth trajectory of our managed rental units and service capabilities. As of the end of the Q1, the number of rental units under our management exceeded 740,000 units, representing an increase of around 47% of year. Meanwhile, contributor margin for our home rental services business reached a 14.8% in Q1, up 8.1 percentage points year of year. Marking the sixth consecutive quarter of sequential improvement, this was mainly attributable to two factors. First, proportion of products recognized on the net revenue basis, which have higher contribution margins continue to increase. Second, labor costs per unit declined driven by productivity improvements enabled by AI in a more specialized vision of labor. For emerging and other businesses, net revenue in Q1 was 321 million, down 8.1% a year over year, and 30% a quarter over quarter. Now let me walk you through the specific key financial metrics for the quarter. Q1 for 571 million, down 20.3% a year over year, and 19.6% a quarter over quarter, mainly benefiting from the rental cost optimization and the store network adjustments for land job. Q1, gross profit has decreased by 5.4% a year-over-year to 4.6 billion R&B and decreased by 4.1% a quarter-over-quarter. Gross margin was 24.1%, up 3.5 percentage points a year-over-year, and 2.7 percentage points a quarter-over-quarter. Gross margin expanded year-over-year driven by three factors. First, improvement in rental services contribution margin. Second, favorable mix toward the existing home transactions, which carry a higher contribution margin. Third, improvement in existing home contribution margin. Subsequently, the expansion was mainly due to a higher mix of existing home revenue and improvement in existing home contribution margin. Q1 total gap operating expenses were worth 3.3 billion RMB, reaching the lowest level in nearly three years, down 20% in leverage released from improved organizational efficiency, strengthened financial discipline, and optimized marketing spending efficiency. Operating expenses decreased by 33% of quarter over quarter, partly due to the high base from on one-time expenses related to the organization efficiency improvement and resource allocation in the prior quarter. Specifically, general and administrative expenses were $1.7 billion, down 8.6% of the year, mainly due to a decrease in share-based compensation expenses. On a quarter-over-quarter basis, G&A mainly due to the high base of the one-time expenses in the prior quarter, and low expenses driven by the improvement organizational efficiency. Sales and marketing expenses were $1.1 billion, down 39% of the year, mainly driven by the improvement of organizational efficiency and more refined management of marketing and promotion expenses. On a quarter over quarter basis, sales and marketing expenses decreased by 43.9%, mainly due to the seasonal factors and a high base of one-time expenses in the prior quarter. R&D expenses were 493 million, down 15.6%, mainly due to improved organizational efficiency and the lower technical services fees. On a quarter and quarter over basis, R&D expenses decreased by 31.1%, primarily due to the high base one-time expenses in the prior quarter moving to our bottom line performance our gap profiting operating profit was 1.27 billion rmb in q1 compared with a profit of 591 million rmb in q1 2025 and a loss of 147 million rmb in q4 2025. the operating margin was 6.7 percent a year-over-year increase of 4.2 percentage points and a sequential of non-GAAP income from operations totaled to 1.67 billion, increasing 45.1% of the year and 400 in operating margin was 8.8% a year-over-year, increase of 3.9 percentage points, mainly due to the increase in the gross margin, and a sequential increase of 7.4 percentage points, mainly due to decreasing the operating expense ratio, and an increase in the gross margin. Finally, GAAP net income totaled to 1.26 billion in Q1, up 46.7% of the year, on 1,425% quarter of a quarter. Non-GAAP net income was $1.61 billion, up 15.7% every year, and 211.5% quarter of a quarter. In terms of cash flow and balance sheet, we recorded a net operating cash outflow of $1.5 billion in Q1. Operating cash flow was lower than our profit performance, mainly due to the timing factors related to the payment of accrued employee compensation from the previous year, excluding the impact of this timing factor. and our operating cash flow performance was broadly in line with our profitability. In Q1, the turnover days of accounts receivables for our new home business was 64 days, largely stable year-over-year and remaining at a healthy level. In addition, even after spending a promously $195 million U.S. dollars on share repurchases during this quarter, our broader cash balances, excluding customer deposits, remained at a promously $65.6 billion RMB. supported by our solid cash reserves we place great importance on shareholder returns in the first quarter we spend over around 200 million US dollars on share purchases with a number of shares repurchase representing around 1% of our total shares outstanding as of the end of 2025 since the launch of our share repurchase program in September 2022 through the end of the first quarter of 2026, we have accumulatively spent a lot of dollars on share repurchases, with a number of shares repurchased representing around 13.5% of the company's total shares outstanding before the program began. In summary, in the first quarter, we delivered on our operating commitments and achieved a meaningful announcement in our operating capabilities through proactive cost-structure optimization, technology-driven empowerment, and more refund management. Looking ahead, we'll continue to uphold the principle of maximizing the company's overall value as our core priority. We will allocate resources around our long-term strategic decision direction, avoid pursuing local optimums and shorter-term gains. At the same time, we'll use data and business fundamentals as basis for decision making, maintain our clear ROI discipline for key investments, direct the resources toward areas where we can better enhance the customer experiences.

Now I'll hand it over to the call to Oregon Early Science, a corporate market. The The existing home market in particular experienced a noticeable spring rebound after Chinese New Year with transaction momentum, new to deal conversion, buyer design fitness and seller sentiment all improving. These are moderating towards irrational levels. Previously pent-up, move-up and straight-up demands is now beginning to clear the market in an orderly manner. That said, and diverges the core cities in the market segment remains pronounced and we are still in a phase of structural adjustment and confidence rebuilding. We're not reading too much into one quarter's data, nor are we disheartened by the continued volatility inherent in any cycle. More importantly, consumers are placing greater emphasis on authentic living needs, asset quality, and long-term lifestyle fit. The overall industry is now evolving toward a more stable, healthy, and sustainable. Our company's operational quality is also on the rise, Despite a high base in the previous period, Q1GTV and revenue declined year-over-year. Yet, now we have seen Lianjia's nationwide per capita transaction volume rose 26% year-on-year, with per capita commission up 8.5%. Capital commission increased 20% in the performing local real estate transaction market. Second, no compromise per year, non-Lianjia existing home transactions rose 16% year-on-year. markedly outpacing the market. In Beijing and Shanghai, where Lin Zha posted the strongest per capita efficiency gains and market penetration also rebounded from the second half of the last year. Profitability and the new margin recovered to over 8.8 percentage points year on year, while adjusted operating profit rose by approximately 500 million R&D. Q1 improvement stemmed from our relentless pursuit of efficiency-driven growth. this is not merely about cutting investment, controlling costs or downsizing to boost profits. It means fundamentally reevaluating which services truly solve consumer pain points in today's market, which providers can deliver sustainable value and how our platform amplifies that value through technology, mechanisms and resource allocation. At the end of March this year, we announced a new round of strategic and organizational restructuring. This transformation rests on one fundamental premise. The housing service industry is undergoing fundamental changes. An industry creates value by solving for what is the scariest. For years, China's housing market was defined by rapid growth, tight supply, and strong expectations of rising prices. Listings were the scarce resource. value came from controlling listing information and the path clients took to reach them. Consumers wanted to know where are the listings, what did it cost, can I get one, and can we close up. Industry organized naturally around listings. And for KE Holdings, we are trying to within our adjustment. and listing used to be wanted matter most, and now it is the ability to guide decisions. Value creation is upgrading from organizing supply to delivering decision support and housing advisory services. So what consumers really need today is to make sure that they make the right decision with high tickets, risks, and sorted information so that they can make well-informed decisions. And for buyers, decision support means helping them understand whether, where, and what truly fits. And for owners, consumer questions have also changed. Their core anxiety has shifted from can I get one? Am I getting it wrong? What they care about now is, should I even buy right now? How do I wage school districts against commute and living comfort? And these two units each have their strengths, and which one should I get? And for buyers, decision support means helping them understand whether to buy or not, where to buy, and what truly fits. So for owners, it means helping them understand how to present value, price right, find the the right buyer and increase closing certainty. AI will accelerate this shift. It'll rapidly commoditize and pure information sorting and shallow matchmaking while further amplifying the value of service providers who can guide decisions. It can also turn top agent expertise into platform capabilities. For us, our real world scenarios, service network, transaction loops and continuous data feedback and give us the opportunity to combine with AI and build a deep moat. So the strategic restructuring we launched this year is neither short-term cost-cutting nor a defensive move. It is about reorganizing production around the new scarce resource. Payholding is evolving from a platform that organizes transactions into one that supports higher-quality housing decisions, redefining the very paradigm of value creation for this era here the key is to be more professional and professionalism for us is simple it is decision support what exactly does it take to be more professional three things first the key organizational change toward better professionalism is to get managers back into the front lines. And we have 500 core managers and 2,534 directors who are in theory are most capable, highest leverage people yet today. Many spend over half of their time in meetings, parsing metrics and cranking out reports. The management system metrics and processes we built once it drove our growth and made industry more efficient. But any system that doesn't center around the consumer's real needs risks becoming an end in itself. And that is why a critical part of this transformation is sending managers back to the front lines to re-understand consumers, re-understand what service provider means, and re-define their own professional values. In Beijing, Regional Director Zhang has done a lot, what I consider truly returning to the front lines. He manages 16 commercial districts and 12 stores. Every week, he reviews listings in person. Every week, he joins owner interviews. Every Saturday, he holds office at the signing. So every time he was involved, efficiency improves. There was an owner and an agent deadlocked over a small price gap. The deal stuck for ages. So when Zhang stepped in, he stopped talking about a price and started asking, what are you selling? Where are you heading next? and what is this money used for? He discovered that the owner didn't need a better price. They need a trade-out plan. So he helped them rethink their housing options, ultimately drugging both the new home purchase and the existing home sale. So he feeds the store and competitor data into AI to generate diagnostic reports shifting from reading metrics to prescribing solutions. So oversight has given way to spotting specific problems and helping fix them. Next, it's building a knowledge base across districts, store, and individual tiers, codifying property details, customer profiles, and listing presentation playbooks. Second, service providers must become more professional. In the past, agents were essentially journalists. They took every client, handled every need, and touched every stage of the deal. And the model worked when listings were scarce and deals moved fast. But today, AI is rapidly flattening the traditional agent's edge in process, scripted talk, and policy know-how. At the same time, customer needs are clearly segmented. School districts, luxury upgrades, new homes, asset dispositioning, leasing, renovation, Each demands a different knowledge base, a service approach, and trust-building process. The true professionalism in the future will be defined by three things AI cannot do. Understanding a client's real pain points and needs, decision support, helping them think through the trade-offs. This is analytical and proposal capabilities. And delivering reliable, accountable, and recommendations. This is accountability for high-stakes decisions. So these three capabilities can only grow in real-world scenarios. So, to make our service providers more professional, first we need to do is to train them from testing knowledge to hands-off drills and case-based reviews. The system will also capture frontline best practices and with AI, structure them for people to study and benchmark against, second, judging whether a service provider or professional may shift from a static exam or certificate to how they serve clients over time and what clients say about them. AI can track a service provider, analyzing their service process and client feedback, making their professional capabilities visible, evaluable, and able to continuously accumulate and grow. Third, the platform must turn non-standard services into products. Much of our best service used to depend on individual know-how, but these skills are are scattered, inconsistent, and hard to replicate. The platform's job is to codify this expertise into products, tools, and processes, so every consumer gets consistently great service and every agent is properly equipped. For sellers, we're pushing decision support further upstream to cover the entire sales cycle. Before listing, we help owners understand the market, comparable properties, like the buyers, and the fair price ranges, so agents can craft a shop or sales plan after listing we feedback information that actually matters to that specific property helping owners make informed calls on pricing pacing and strategy and for owners with different needs we are testing differentiated products through owner segmentation and listing tiering for example community open days concentrated exposure and buyer feedback. For owners ready to sell and entering price negotiations, Commit to Sell uses deposits, online bidding, and system comparisons to cut down back and forth and help both sides reach agreement faster. Commit to Sell deal illustrates this very well. An owner in Beijing in Dusheng District had a property worth over $10 million. She was in tour in price, but more anxious about locking in a sale before month's end. In the past, this month's endless showings and price ping pong and stalled deals. But commit to sell, compresses everything into a clear window. The owner put down the deposit, the listing got concentrated promotion, and buyers debate online and everyone knew the clock was ticking. The winning buyer wasn't even first in line, but with transparent rules and a firm deadline, online, she bid online on Friday evening and closed at the owner's price. The buyer saw an opportunity, the seller got certainty. No price splashing, just a product mechanism that matched a real seller, a real buyer, and an agent who know the property and the market. For buyers, we're also pushing services earlier. Today, clients enter a content-driven pre-decision phase long before they need an agent. They search everywhere, but credible, neutral, structured guidance is very scarce. So they need professional support as a reference in their decision-making. So we're putting our frontline leaders, managers, directors, and district heads who know the market and consumer best on the front lines of content creation building a tiered content matrix with the platform we're not trying to turn them into influencers chasing traffic rather this pushes them to truly present their expertise about communities listings transactions and clients already in their head simultaneously before the client reaches the agent we're adding a more neutral decision service layer through middle office service rows combined with AI experts in legal finance school districts and high-end

properties we help the client conduct you know clarification of needs purchasing power calculation risk disclosure preliminary and planning then we match these clear better understood needs to the most suitable service provider. Therefore, we'll pivot to a more precise matching stage. I want to say that AI is not a single tool but a new organizational capability. For instance, with our application building platform for frontline employees, staff simply describe their needs using natural language, and AI helps generate and deploy the application. As of the end of April, the platform has covered over 7,100 employees, with more than 4,400 applications seeing actual traffic, and total business surpassing 4.12 million. So this proves that tools originating from the front lines are being utilized by the business, and organizational resources will occasionally flow toward real problems. Furthermore, OneCity is piloting a new collaboration model, business experts define the scenarios, function staff design the skills, and the scenario engineers for my tool and API support. A three-person squad can simultaneously advance over 20 specific scenarios. So in the past, the business proposed needs and waited for the development. Now, whoever best understand the scenario participates in its definition and rapid iteration. In this way, the front-line expert expertise is no longer just a personal experience. It can be amplified and institutionalized by AI. Beyond property transactions, I would also like to briefly talk about home renovation and leasing. Q1 contract value and revenue declined year-over-year, primarily due to our proactive focus on specific cities and channels since last year, coupled with a new home market of volatility that also impacts the demand. However, we are more focused on the underlying capabilities in the path to monetization or profitability. In Q1, the contribution margin of home renovation reached 36.2%, up 3.6 percentage points year over year, with the losses narrowing significantly. For the past year, we have done substantial fundamental work in product modularization, digitalization of tools, supply chain centralized procurement, and other types of works. So driving the business from being highly non-standardized toward becoming more stable, reputable, and manageable. For leading business, units under management reached 740,000 EQ1, maintaining rapid growth. The share of net-mastered products rose quickly. The profit margin contribution from carefree rent increased from 6.7% in the same period last year to 14.8 percent but how all these are product structure optimizations eu management ai empowering and organizational process restructuring so the leading business proves that a seemingly fragmented heavy operationally heavy business can also enhance efficiency and gradually form economies of scale through ai and a process restructuring looking further ahead we aim to center our efforts on communities to reconstruct long-term operational capabilities. Stores in the future will gradually upgrade into community housing service nodes and agents will also evolve from the single transaction roles into client managers capable of deploying platform capabilities across existing homes, new homes, leaving, renovation, design, delivery, etc. and etc. Regarding how investors can track this progress I believe there are several metrics. First, core business efficiency and operational quality. Second, the pilot programs in community operational units and also our actions of putting managers into the front line. Number three, this is productization of buyer and seller services. Number four, the adoption of AI across the organization and also its improvement on customer experience and also our operational efficiency. Number five, the expansion from single transactions to long-term community operations and long-term value. Number six, long-term incentive direction and organizational stability. These are not short-term commitments but rather a framework to guide our transformation progress. These decisions cannot be accomplished or goals cannot be accomplished in a single quarter. We are planning this round of transformation across a multi-year cycle. Our principles are clear. Pilots comes first. Without blind expansion, we're going to have prudent operations ensuring core business operation quality and cash flow remains stable. And continuous iteration, constantly optimizing service provider, division of labor, resource allocation, AI tools, service products, buyer decision service layers, and etc. In conclusion I would like to summarize Baker's long-term value in one sentence. The industry is transitioning from finding listings to making decisions and what Baker must do is to upgrade our platform capability from organizing transactions to supporting higher quality residential decisions. The significance of Q1 results lies not only just margin improvement but also in validating that a virtual cycle can be formed among organization efficiency, per capita efficiency gains, service provider structure optimization, and platform growth. Going forward, we'll continue to invest in resources, mechanisms, AI, and product capabilities where genuine customer value is created, driving Beko to forge more stable, higher quality, and more sustainable long-term value. Thank you, everyone. We will now open the floor for the QA session. Thank you, Stanley. As a reminder, we only accept the questions on the Chinese language line. If you would like to ask a question, please press start 1 and wait for your name to be announced. If you would like to cancel your request, please press the palm key. For the benefit of all participants on today's call, please limit yourself to one question. If you have additional questions, you can re-enter the queue. The first question comes from Thomas Trone from Jefferies. Please go ahead. Good evening, management. Thank you for taking that question. We noticed that the existing home market saw a spring rally in Q1. What were the main drivers, and how does it compare to previous? And also, is this trend sustainable? Thank you, Thomas, for your question. Compared with the previous rebonds, this round of recovery stands out in three ways. First, it's not just a short-term volume bomb driven by policy stimulus, it reflects genuine demand being released as price corrections have lowered the price barrier to home ownership. Second, it's not only a simple case of trading price for volume, we're seeing prices stabilize at this stage. And third, it's not only buyers coming back to the market, salary expectations and supply mix are also showing incremental improvements. So this recovery is no more resilient than we have seen in the past. Looking at the volume and price performance, first, existing home transactions on our platform grew 12% a year-over-year in Q1, and in March set a new all-time monthly record, up 21% year-over-year. At the same time, core cities showed a clear sign of phased price stabilization. According to Baker Research Institute, existing home prices in Tier 1 cities rose by 1.5% a month over monthly month, marking two consecutive months of sequential growth. In Beijing and Shanghai, prices increased by 3.8% and 3.3% respectively during the Q1. We see three factors driving this shift. First, it's the policy. The government's signal to stabilize the housing market has been clear. Measures such as tax optimization and housing provident fund adjustments have reduced transaction costs. Second, on the price side, after deep correction, the entry barrier for homebuyers has come down substantially. In March, the rental yield across the top 50 cities rose 40 base points year-over-year to 2.8%, and the spread versus mortgage rates continue to narrow. Housing is gradually regaining its appeal. Third, on the demand side, a combination of policy support and the lower-priced product previously hazarded buyers back to the market, driving the recovery in transaction. More importantly, we're seeing market expectation and supply demand structure improving on the On the one hand, buyers are making decisions faster. The conversion rate from viewings to transaction has improved. On the other hand, seller expectations are stabilizing and pressure to cut a price to half east. Q1, the share of sellers are willing to offer sharp discount for a quick sale, fell by 3 percentage points, quarter of quarter, and new listings in March were down 14% of the year. Looking at the transaction mix, upgraded management remains long-term driver in Q1. Seasonal factors like residential registration and school enrollment combined with the targeted policies favoring lower-priced homes lead to seasonal increase in the share of first-time home buyers in tier one cities. That side, from a long-term perspective, upgrade demand has continued to rise and now is approaching 60% of making a core driver of the market. Heading into Q2, the market transaction volume came down seasonally from its March peak, but the pace of adjustment has been more moderate than the same period of last year. In April, year-over-year growth and existing home transactions on our platform expanded further to over 30 percent and the absolute volume hit a second highest record showing resilience in terms of price baker research institute data shows that existing home prices in the top 50 cities held steady month over month for a second consecutive month in april in top in tier one cities prices are up 2.8 cumulatively from january through april with the shell high up 5.9 percent and beijing up over four percent the trade-off chain is also recovering since april larger size and mid to high price home have accounted for a slightly higher share of transactions in core cities indicating a recovery in upgrade demand and providing some support to market resilience overall we believe existing home transaction volumes should continue to grow year-over-year in q2 on pricing core areas in tier one cities have relatively solid support but a broader nationwide stabilization would need more months of data to confirm Thank you. Next question comes from Chen Tong at Citic Securities. Please go ahead. Congratulations on the non-cylical revenue uptick for the past quarter. Here's my question for the management. The company is advancing its strategic transformations. We noticed that you have been piloting a program called Commit to Sell in Beijing. Could you share an update on that progress? Are there any cases that validate the impact and can it effectively improve the transaction efficiency? Thank you. Thank you for the question. Well, some investor may not be familiar with this product yet. Changimai, or Commit to Sell, is one of the products under our homeowner side of service transformation in Beijing. It's still in its early pilot stage. So it's not a simple auction style listing, it's a matching tool designed to help both buyers and sellers come down on the back and forth in negotiating. The sellers set a reserved price online and buyers place the bids back to buy and deposit and the system whereas matches the bids against the reserved price to close the deal. It focuses on the bidding and closing stages. You know, even when the transaction didn't go through, the bidding results provided some incredible valuable insights that feed the sellers into making better decisions going forward. We have noticed that early signs are encouraging. Transaction cost cycles have been shortened. Homeowner satisfaction has been high. That said, the sample size is still quite small, so we are being prudent in how we read these early results. Before I dive any further I'd like to bring it back and put it in the context of our broader strategic transformation which I think will make the things clear in today's market listings are rising buyers are more cautious you know homeowners essentially sell by playing the odds you know they don't get a clear read on the market feedback and they don't have many effective tools yeah cutting the price so that's why the core of our home owner side of service transformation is to help sellers make better decisions throughout the selling process and improve the certainty of closing so namely whether now is the right time to sell at what price and through what approach in practice we are not building a single product instead we are identifying seller objective expectations and property characteristics and reviewing our services across the entire selling life cycle covering listing pricing marketing exposure viewing feedback and bid negotiation so for commit to sell you know is one of the pilot products designed for a specific group of sellers so these products ought to fix the lineup they are continuing you know they continue to evolve based on their feedback of the seller and also market changes the core idea is to match the writer transaction path and the right service to each seller and each property rather than pushing every listing through the same playbook. From the pilot programs that we have at hand so far, these products indeed improve the price discovery and transaction efficiency. We are also piloting other services such as community open day events designed to concentrate a buyer interest. Going forward, for each of these new products and services, we'll continue tracking key operating metrics including product adoption rates, transaction efficiency, and agent productivity.

On the agent side, I want to make one point especially clear. This new model doesn't diminish the value of agents. It amplifies it. It elevates the agent's role from passing along information and relaying offers to helping sellers assess price, identify generating buyers, and build trust and momentum in the negotiation process. Every successful closing reflects the core value that a professional agent brings. Finally, I want to emphasize that this transformation is a long-term journey. Our approach is a small scale piloting, continuous integration and data-driven validation of the long run. If we can keep improving the decision quality of both sellers and buyers, there's a significant improvement to expand the penetration and efficiency. Well, the next question comes from Timothy Giao at Goldman Sachs. Thank you for giving me this opportunity to raise the question. My question is about the home renovation and furnishing business. We have seen some declines in this part of the business. Could you share with us what reasons are now driving this decline and how do you make of the recent tendencies in this business? And given the current KPIs of this part of the business, what exactly are the major KPIs you're focusing and what programs have you made in that regard? Thank you. Thank you for the questions. I want to explain three reasons. First is our business changes. We have shut down some of our traditional business parts. That is the first reason. And the second one is that we have narrowed down some part of our furnishing and renovation businesses in some cities. And the other one is that we have seen a declining market trend. And there are some also declines on the demand for renovation and furnishing. about how do we lead the decline or as you said this year our focus this year is not to focus on the scales and also instead we're focusing on optimizing the business model around healthy and sustainable profitability personalized offerings under a well-defined framework and a higher quality fulfillment delivery. And these are the important foundation for the next stage of growth. We have already seen tangible improvements in delivering capabilities and profitability. And going forward, we will continue to deepen synergies with our home transaction services to improve consortium and gradually enhance revenue performance. And this year, we are focused on three key areas, improving product capabilities, standardization construction fulfillment and delivery, and upgrading our design tools to improve efficiency. And on the product side, our approach is not to view customer demand as a simple trade-off in between standardization and personalization, instead we're using a two-dimensional product matrix to better address different customer needs. Vertically, we design different packages based on budget level and service depth, helping customers with different needs from those and seeking practical solutions in to those looking to upgrade their living quality and horizontally break down customers high-frequency lifestyles into modules such as file storage and soft furnishings. This allows customers to combine modules within clear product framework and get solutions that better fit their family needs. At the same time it allows to improve efficiency, control costs and enhance unique economics through module reuse and SQ concentration, design tools and standardize in delivery process. In terms of construction fulfillment and delivery standardization, this year we have extended professionalization of project managers to the work level for certain key types of workers. We are moving away from a relatively loose labor cooperation model to a model-based platform selection, platform evaluation, and platform coordination dispatch. And workers with a stronger delivery performance and better customer feedback can receive more jobs. At the same time, this helps us build a more stable delivery workforce, creating a positive cycle among stress quality, worker income, and delivery consistency in March. Among these professionalized workers, plumbing and electrical workers saw their average monthly order volume increase by over 50% compared with the average in the second half of 2025. At the same time, we continue to deepen the development of our self-developed BIM design tools. We're promoting the full process digitalization of floor plan imports, solution design rendering, online quotations, and construction join output. This enables us to do a closed data loop on the platform, which in turn supports the continuous integration of of our BIM tool and help improve design productivity. Overall, while the revenue side has been affected in the near term by adjustments and volatility in external demand transmission, we're seeing improvements in the underlying capabilities of the business. In particular, standardization and replicability are gradually being strengthened across key areas. And we believe revenue from our home renovation and furnishing business can stabilize and return to quality growth. Now, the next question, please, and congratulations on the positive trend. It was clear year-over-year improvement in profit margins across the companies and businesses in Q1. So, how does the management assess the sustainability of current margin levels, and is there further room for improvement going forward? Thank you, John, for the question. Our profitability improved significantly year-on-year in Q1, and gross margin reached 24.1% up 3.5% year-on-year, and non-GAAP operating margin reached 8.8% up 3.9% each point, both at seven-quarter highs. This margin improvement wasn't driven by any single business or one-off factor. It is the results of a series of proactive optimizations across operating quality, resource allocation, cost structure, and unit economics. Looking at each business in Q1, contribution margins improved year-over-year across all our core businesses. Starting from our housing transaction business, the contribution margin improvement in existing home transactions came mainly from lower fixed labor costs and higher endowed agent productivity. And fixed illegal costs in existing home transactions were down 24% year-on-year in Q1, which was the key driver of the margin expansion. And this reflects the work we've been doing since last year on Lianjia, including refining store and agent scale, optimizing organizational structure, and improving resource allocation efficiency, etc. In the long run, further upside will come from continued gains in Lianjia's store and agent productivity, and resource conversion efficiency as our business transformation goes forward. The new home business, more refined operational management brought the overall variable cost ratio down 3.7 percentage points. Going forward, we'll innovate our service model by providing developers with a full life cycle project solution by leveraging our data, marketing, and other capabilities, and this will diversify our revenue mix and support stable profitability. In home renovation and furnishing, contribution margin improved mainly thanks to lower material cost and higher labor productivity. Since last year, we've been actively advancing centralized procurement alongside localized bidding. This has driven down prices on some materials by more than 20% and those cost bidding continue to flow through this year. We've also optimized our order dispatch system, valuing more orders to project managers with stronger execution capabilities, focused on serving platform customers, and tightening their service radius to improve productivity per person. And looking ahead, as supply chain scale benefits continue to materialize and service provider productivity further improve, there's still room to optimize the unit economics of our home renovation business. In home rental services, contribution margin improved quarter over quarter, mainly driven by better unit economics in our carefree rental and the structural shift into our rental units accounted under a net accounting method, which carries a higher growth margin. As of the end of March, net method home units accounted for over 40% of our managed inventory. Meanwhile, the EUE improvement came from several drivers, higher productivity, which both reduced internal costs and streamlined operational labor, better supply chain pricing, which lowered the maintenance and cost ratio in some seasonal factors as well. Looking forward, with quarterly margins in May, the shift toward higher margin revenue combined with continued improvements in our products and operations, leaves room for further improvement in the you named economics in rental services. On the expense side, total operating expenses into one hit a near-seal year low. The decline across all three expense lines was driven by improvements in organizational productivity and disciplined financial management, including refined control for marketing expense. On AI, we're maintaining a disciplined investment approach. We continue to scale up investment in core business minerals and foundational AI capabilities. While actively reviewing and reallocating resources from lower ROI projects to areas with higher long-term value creation, this lets us keep investing in long-term capabilities on a solid financial foundation, support sustainable foundation, and continue opening up new and more efficient avenues for growth for the whole year. Our home transaction business has built great earnings flexibility. The profitability model in our two-wing businesses will continue to improve and our cost discipline remains firm. Our quarterly margins may show some seasonal fluctuations but we stay confident in year-on-year margin improvements for the full year. Thank you, Mr. Xu. With that, we conclude our QA session. Thank you once again for joining today's conference call. And should you have any further questions, please reach out to Kay Holdings Investor Relations team via the contact details listed on our website. This brings today's earning calls to a close. We look forward to connecting with you again next quarter. Thank you and goodbye.