YXT.COM Group Holding Limited (YXT) Earnings Call Transcript & Summary

August 20, 2025

US Information Technology Software earnings 24 min

Earnings Call Speaker Segments

Operator

operator
#1

Good morning and good evening, ladies and gentlemen. Thank you for standing by, and welcome to YXT.COM's earnings conference call. [Operator Instructions] Please note that today's event is being recorded. Joining us today are YXT's CEO, Director, Founder and Chairman, Mr. Xiaoyan Lu, also called Peter; CFO, Mr. Shen Cao; and Chief Growth Officer, [ Allan Wang ]. Peter will begin with a brief greeting, and then Mr. Cao will present the CEO's prepared remarks on his behalf. Following that, Mr. Cao will provide a detailed overview of our financial performance for the year. You can refer to YXT.COM's H1 financial results on IR website at ir.yxt.com. You can also access a replay of this call on the IR website when it becomes available a few hours after its conclusion. Before we continue, I would like to refer you to our safe harbor statements in our earnings press release, which also applies to this call as we will be making forward-looking statements. Please note that all numbers stated in the following management's prepared remarks are in RMB terms, and we will be discussing non-GAAP measures today, which are more thoroughly explained and reconciled to the most comparable measures reported in our earnings release and filings with the SEC. I will now turn the call over to the CEO, Director, Founder and Chairman of YXT.COM, Peter.

Xiaoyan Lu

executive
#2

Hello, everyone. This is Peter Lu, CEO of YXT.COM. Thank you for joining us today.

Shen Cao

executive
#3

Hello, everyone. This is Shen Cao from YXT.COM. Speaking on behalf of our Founder and CEO, Peter. Welcome to YXT.COM 2025 H1 Earnings Conference Call. Thank you all for joining us today. Firstly, let's take a moment to look at what's happening across our industry. The corporate learning industry is doing its most significant transformation in decades, driven by the rapid adopting of artificial intelligence, AI. Intelligent, adaptive and data-driven learning ecosystems are replacing traditional training methods. AI is not just enhancing existing processes. It's fundamentally changing the way organizations develop talent, keep critical knowledge in-house and stay ahead in a disrupted world. The shift driven by AI even goes beyond the training industry. It presents the first-ever opportunity in which workforce enablement has more meaning -- has more means than just learning and development. Traditionally, training that's focused on teaching know what was often considered as a cost center with difficulties evaluating ROI. AI-powered development activities can provide know-how in a copilot manner and are now recognized as a strategic lever for driving innovation, agility, and growth. Organizations that embrace this transformation are building more resilient workforces capable of adapting to rapidly changing market conditions and technological advancement. Then let me walk you through our financial results. Over the first half of 2025, we have made deliberate decisions to reposition YXT.COM for sustainable and high-quality growth. This has involved shifting our focus towards large enterprise clients prioritizing scalable and higher-margin solutions, particularly in AI and optimizing our cost structure. While these changes have impact specific short-term metrics, they are already driving measurable improvement in profitability and operational efficiency. Let me walk you through the details. Before we go through the financial results, let me note that all amounts are in RMB terms for the first 6 months ended June 30, 2025, and all comparisons are on a year-over-year basis, unless otherwise noted. Our total revenue declined by 7.8% year-over-year to RMB 152.9 million compared to the same period of last year, but this figure must essential nuances. The decrease was primarily driven by 2 factors. The first one is our strategic shift. We intentionally reduced our exposure to small- and medium-sized businesses, which had a higher churn and low lifetime value. This resulted in a net reduction of 123 subscription customers down to 2,358, but the remaining clients are larger enterprises with more stable demand. The shift is also reflected in our net revenue retention rate, which moderated to 100.3% from 102.8% in the same period of last year, still demonstrating strong retention, albeit without a temporary boost from smaller customers. In terms of our business model, we further streamlined our revenue mix with subscription-based corporate learning solutions now accounting for 94.6% of total revenue, RMB 144.7 million, a decline of non-subscription revenue down 39% year-over-year to RMB 7.7 million. In line with our strategic focus, focus on reducing lower-margin offline services and building recurring scalable revenue streams, notably, our AI-related product. Monthly recurring revenue more than doubled to RMB 0.5 million up to RMB 0.2 million last year, a clear sign that our investments in AI are yielding measurable impact and will play a large role in future growth. Despite the decline in revenue, we achieved a 4-percentage point improvement in gross margin, reaching 65.1%, this expansion was fueled by our enhanced operational efficiency and optimized product mix. Our cost of revenues fell by 17.1%, mainly driven by lower staff expenses, optimized third-party infrastructure and reduced reliance on costly offline solutions. Higher-margin subscription and AI products now represents a growing share of our revenue, driving improved profitability. We achieved meaningful cost reductions across key operating areas with skills and marketing expenses declined 13.5% year-over-year through declined headcount optimization and process improvements. Similarly, our R&D expenditure decreased 19.2% as we enhanced development productivity and focused resources on higher priority initiatives. The G&A line item increased 20.5% was primarily due to the increase of professional service fees and the share-based compensation expense from our January 2025 long-term incentive plan. While the share-based incentive plan creates a short-term cost pressure, we view these equity grants as a critical investment in retaining and motivating our leadership team to execute our multiyear growth strategy. On a GAAP basis, we reported a net loss of RMB 73.9 million compared to net income of RMB 21.4 million in the same period of last year. However, last year's profit included a one-off RMB 78.8 million gain from the deconsolidation of CEIBS PG. Our adjusted net loss improved by 15% year-over-year to RMB 64 million, demonstrating tangible progress in core operations. We ended the period of RMB 235.7 million in cash and short-term investments, down from RMB 418.2 million at year-end 2024. This reduction reflects planned investment in AI R&D and working capital needs but remain well capitalized with a disciplined approach to debt management. Moving forward, our strategy remains centered on 3 pillars. First, we will deepen enterprise relationships by delivering more value to our large clients to improve retention and revenue. Second, we continue to scale our AI solutions with early results confirming their potential as a powerful driver of both growth and profitability. Third, we remain committed to cost management and strike the right balance between optimizing our existing expense structure and make targeted investments in direct delivers the higher returns. We are seeing clear progress in executing our strategy, and we are confident these efforts will drive sustainable, profitable growth and moving forward. Thank you for joining us today. We are now very happy to answer your questions.

Operator

operator
#4

[Operator Instructions] Our first question comes from William Lu, an individual investor.

William Lu

attendee
#5

This is William. And I'm an individual investor. I want to ask a question for our CFO, Mr. Cao. You mentioned that in this presentation that the gross margin of our company has increased by 4 percentage points to 65% in the first half. So I really want to know what specific improvements in operation or product innovation has contributed to your expansion. Is this still continue in the second half of the year?

Shen Cao

executive
#6

Thank you. The improvement in gross margin is a direct outcome of our efforts to boost operational efficiencies, including optimizing our product mix and reducing reliance on costly offline solutions. By focusing on higher-margin subscription and AI products, we have improved profitability while maintaining product quality. We believe the structural shift on our revenue mix provides a sustainable margin profile going forward. In addition to shift towards higher-margin solutions, we had made significant cost reductions in our cost of revenues, including optimizing third-party infrastructure and reducing staff expenses. These actions have allowed us to expand our margins despite the revenue decline. We anticipate that the trend driving margin expansion, such as the growing share of AI and subscription-based products will continue into the second half of this year.

Operator

operator
#7

Our next question comes from the line of [ Duncan Yi ] of Five Arrows.

Unknown Analyst

analyst
#8

I have a question. I think I have actually 2 questions. The first one is about your strategic shift towards the larger enterprise, as you mentioned, which is the reason for your revenue to decline year-on-year. I understand it is like the new strategy for the company to shift toward a larger enterprise. Could you please elaborate for us how this transition is going to impact the company in the long run, especially to the revenue growth and the customer retention in the near future?

Unknown Executive

executive
#9

Thank you, Duncan. Let me take on that question first. This is [ Allan Wang ]. I'm the Chief Growth Officer of YXT.COM. So you -- let me just make sure I'm understanding your questions right. So you're asking about our shift from small- to medium-sized enterprises to large enterprises, and you want to understand how that could impact our company's performance in both short term and long term, right? So as you probably understand, the Chinese market is a little bit different from the U.S. market in that in the U.S. market, you have a very robust small- to medium-sized enterprises. Whereas in China, the market is majorly driven by large to mega enterprises. These companies are more resilient in their own business. They are more profitable, and they are more willing to spend on learning and development initiatives. So in the past 2 years, we've made our strategic decision to move away from small- to medium-sized enterprises and on to the large and even mega enterprises. We've seen that these larger mega enterprises will show a stronger retention behavior, stronger retention performance with a stronger -- higher potential for resell and upselling opportunities for us. So as we move away from small to medium-sized enterprises to large companies, we believe the company's performance metrics will continue to improve both on gross margin rate, both on our retention rate as well as on our customer holistic lifetime value. So that's the rationale behind it, and we've seen the performance change in the key metrics, and we'll continue to do that. We'll continue to emphasize on large to mega enterprise. With that being said, we are -- we will not deliberately let go of the small enterprise. The smaller companies, if they are willing to stay with us, we'll continue to keep them with us, but we will stay away from investing heavily relocating -- allocating heavy resources onto them because our judgment is that they are not the ideal client for us. So by driving -- by focusing on the large enterprises, by innovating products to respond to their needs, we believe we will have a more healthy, more robust business model. Duncan, does that answer your question?

Unknown Analyst

analyst
#10

Yes. I think that is very comprehensive. And I actually have a follow-up question for both [ Allan ] and Mr. Cao. I noticed that your AI-related product for the monthly recurring revenue actually grow by more than [ 200% ] than last year. I think that is very impressive. Could you provide more insight into the specific AI solution, driving this growth? And also how does the company plan to scale up this product offering going forward in the future? And also, do you have any expectation for the growth rate for the next quarter or for the full year?

Unknown Executive

executive
#11

Thank you, Duncan. That is one of the highlights from our operation in the past few months. Yes, compared to some of our peer companies, we are more successful or even the most successful in commercializing AI products. Some of the key products we offer to our clients as of now include using AI to generate courses. So traditionally, we hired instructors, professors, teachers to draft out these teaching content, these learning programs. Now we are leveraging our know-how in course design with the help of large language models to generate high-quality courses at a much lower cost. We provide such capabilities to our clients using a product called [ AI Course Maker ]. So we're essentially transferring the capability of course making to our clients. This is one of the leading lead selling AI products. We also provide AI products focusing on generating test -- generating standardized test is difficult for most of the companies. So how to devise a set of questions, quizzes to test the participants on their mastery of the knowledge is something our clients will need. So AI test making is another product we offer to our clients. Besides course making test, test making, we also provide AI simulations, role plays, whereas AI will generate a scenario where the participants would come in and practice their communication skills, their problem-solving skills with AI. We also provide AI capability assessment tools called Behavioral Event Interview. We also provide AI candidate screening, AI interview tools. Essentially, these tools will leverage the reasoning power of large language models, and we do post-training on these large language models based on years of experience and years of usage data we have in these scenarios. These are the products we use. We see a fast-growing penetration and coverage of AI products to our accounts as indicated by the numbers that Duncan, you just mentioned, and we anticipate that to continue to grow even faster. We have rolled out a series of marketing campaign to drive AI products to our customers. Also the Chinese market, objectively speaking, is more willing to spend on AI as figured by DeepSeek earlier this year. So the companies are more willing to adopt to AI solutions, and we have a whole suite of products ready, and we have the marketing campaign set in place. We have the commercial policies, discount policies, volume rebate policies set in place, and we are confident to drive the growth in AI product penetration and coverage.

Operator

operator
#12

Thank you. I would now like to turn the call back over to Mr. Cao for closing remarks.

Shen Cao

executive
#13

Thank you again for joining our call today. If you have any further questions, please feel free to contact us to submit a request through our IR website. Have a good day. Thank you. Thank you very much.

Operator

operator
#14

This concludes today's conference. Thank you for your participation. You may now disconnect.

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