Q4 2025 Agora Inc Earnings Call

Speaker #1: 2025 financial results conference call. To ask the question during the session, you need to press star 11 on your telephone. You will then hear an automated message advising your hand is raised.

Speaker #1: To withdraw your question, please press star 11 again. Please be advised that today's conference is being recorded. The company's earnings results press release earnings presentation SEC filings and a replay of today's call can be found on its IR website at investor.agora.io.

Speaker #1: Joining me today are Tony Zhao, founder, chairman, and CEO, Jimbo Wang, the company's CFO. During this call, the company will make forward-looking statements about its future financial performance and other future events and trends.

Speaker #1: These statements are only predictions that are based on what the company believes today. An actual result may differ materially. These forward-looking statements are subject to risk, uncertainties, assumptions, and other factors that could affect the company's financial results and the performance of its business in which company discussed in detail in its filings with the SEC, including today's earnings press release and the risk factors and other information contained in the final prospectus relating to its initial public offering.

Speaker #1: Agora's Inc. remains no obligations to update any forward-looking statements the company may take on today's call. With that, let me turn the call over to Tony.

Speaker #1: Please go ahead.

Speaker #2: Thanks, Operator. And welcome, everyone, to our earnings call. I'll begin by reviewing our operational performance for the past quarter. We're pleased to report our fixed consecutive quarter of gap profitability in Q4.

Speaker #2: Marking our first full year of gap profitability since 2018, driven by sustained double-digit revenue growth, improved operating leverage, and disciplined cost management, total revenue for the fourth quarter was $38.2 million.

Speaker #2: Representing 10.7% year-over-year growth, our gap net profit for the quarter was $4.9 million, with a gap net margin of $12.9%. Next, I would like to share with you our recent business update.

Speaker #2: Which highlights both the strengths of our core real-time engagement business and the accelerating momentum of our conversational AI initiatives. Our platform's scalability and reliability were recently validated during a high-profile live streaming event over the Super Bowl weekend.

Speaker #2: Mr. Beast, the world's most-followed content creator, hosted a broadcast session on OneNote. The leading video-based shopping platform and a long-standing customer of Agora. We delivered high-quality full HD videos to nearly 600,000 peak-concurrent viewers worldwide while enabling their interactions at sub-second latency.

Speaker #2: To quote our customer's own words, "From their technical blog, 'On event day, Agora's real-time media pipeline performed reliably at peak. Time to first stream stayed under one second.

Speaker #2: Latency remained consistently low. And video quality held stable throughout the stream. Even as we pushed systems to their limits, at extreme load.'" We believe this is the largest live video shopping event in US history.

Speaker #2: Even events of this magnitude are the ultimate stress test for real-time infrastructure. Our ability to deliver stable, high-quality video with ultra-low latency at a global scale demonstrates our leadership in network resilience, distributed architecture, and real-time routing.

Speaker #2: This event was powered exclusively by our platform, as no competitors can match our performance and the scale. This is why industry leaders in e-commerce, social entertainment, and education continue to trust our infrastructure for their most critical moments.

Speaker #2: At the same time, we're witnessing rapid adoption of our conversational AI engine product. Since its launch in March 2025, usage has more than doubled each quarter.

Speaker #2: We are also encouraged by seeing encouraged to see early experimentations among our customers quickly evolve into real-world deployment across multiple verticals, including customer service, smart devices, education and AI-powered consumer applications.

Speaker #2: Companionship toys powered by our solution, such as Fuzuzu, are driving accelerated shipment with high user stickiness. Validating the momentum are leading consumer-hardware giants recently launched a companionship toy built on our technology.

Speaker #2: Furthermore, our conversational AI device kit integrating a voice model module and an emotion display screen has set an industry trend and is now widely adopted by manufacturers.

Speaker #2: We started the year with a strong reception of our conversational AI solution for physical AI at CES 2026 in January. At the event, we introduced the latest upgrade of our conversational AI device kit.

Speaker #2: Featuring enhanced multimodal capabilities, including vision understanding and motion control. This new capabilities enable the development of embodied AI hardware and robotics across multiple use cases.

Speaker #2: For example, our customer Lulu Dynamics is developing a desktop embodied AI robot powered by this solution. Many of our customers also showcased products at CES.

Speaker #2: The leverage our solutions. Ranging from AI companion devices and robotics to next-generation physical AI products, the strong market interest and media coverage coming out of CES further validates the growing demand for real-time human-like interaction embedded directly into smart devices.

Speaker #2: Beyond one-on-one interaction between humans and AI agents, we're also expanding into multi-agent collaboration scenarios. During the quarter, we supported Agnes AI in launching its next-generation AI group chat and multi-agent collaboration platform.

Speaker #2: By leveraging our real-time engagement infrastructure and conversational AI capabilities, Agnes AI enables multiple AI agents and human participants to interact seamlessly. We believe multiple agents orchestration represents the next frontier of AI-driven productivity.

Speaker #2: While agents can coordinate tasks, share information, and collaborate with humans in real-time. Of course, this development, a clear theme is emerging. As AI becomes more interactive and multimodal, the technology complexity behind delivering a seamless interaction experience between a human and an AI agent increases significantly.

Speaker #2: Real-time conversational AI requires not only powerful foundation models but also advanced audio processing, ultra-low latency networking, global scalability, interaction handling, turn-taking management, and device-level optimization.

Speaker #2: These are areas where we have made substantial investments and have built a strong competitive edge. Our deep expertise in real-time infrastructure uniquely positions us to bridge the gap between AI model capabilities and production-grid user experiences.

Speaker #2: Looking ahead, we remain focused on driving revenue growth and advancing conversational AI innovation throughout 2026. We entered the new year with strong momentum, supported by an expanding customer pipeline growing production deployments and increasing ecosystem partnership.

Speaker #2: We believe we are well-positioned to capture this transformation and create long-term value for our shareholders. Before I conclude, I would like to thank our customers, developers, partners, and shareholders for their continued trust and support.

Speaker #2: And our global team for their dedication and innovation. With that, let me turn things over to Jimbo, who will reveal our financial results.

Speaker #1: Thank you, Tony. Hello, everyone. Let me start by first reviewing financial results for the fourth quarter of 2025, and then I will discuss outlook for the first quarter of 2026.

Speaker #1: Total revenues for the fourth quarter reached $38.2 million. Representing a 10.7% year-over-year increase. And exceeding the high-end of a revenue guidance. This marks our fourth consecutive quarter of double-digit organic growth.

Speaker #1: If we look at the two business divisions, Agora revenues reached $19.9 million in Q4, representing $14.4% year-over-year growth, and $9.3% quarter-over-quarter growth. A strong growth reflects our successful market penetration and growing adoption in verticals such as live shopping.

Speaker #1: Shenwang revenues reached R&B $129.2 million in Q4, up 5.7% year-over-year, and 5.6% sequentially. Driven by continued business expansion, and adoption in key verticals, such as social, entertainment, and IoT.

Speaker #1: Dollar-based net retention rate is 109% for Agora, and 89% for Shenwang. Gross margin fourth quarter was 65.1%, down 1.5 percentage points year-over-year, and 0.9 percentage points sequentially.

Speaker #1: This slight decline was primarily driven by the lower margin profile of our conversational AI-related products, as usage is still ramping up and remains at a subscale level.

Speaker #1: Turning to expenses, R&D expenses were $13.6 million. In Q4, down 7.7% year-over-year, reflecting our continued cost discipline. R&D expenses accounted for 35.8% of total revenues, compared to 42.9% in the same period last year.

Speaker #1: So the marketing expenses were $7.1 million in Q4, down 2.1% year-over-year. So the marketing expenses represented 18.7% of total revenues in the quarter, compared to 21.1% in Q4 last year.

Speaker #1: G&A expenses were $5.4 million in Q4, a decrease of 16.5% year-over-year. Primarily due to lower provisions for credit losses following improved customer collections. G&A expenses represented 14.1% of total revenues, compared to 18.7% in Q4 last year.

Speaker #1: Moving on to the bottom line, we delivered net income of $4.9 million in Q4, representing a 12.9% net income margin. As Tony just mentioned, this marks our fifth consecutive quarter of gap profitability and the first full year of gap profitability since 2018.

Speaker #1: Based on current business momentum, and the visibility into 2026, we expect net income to grow compared to 2025. Now turning to cash flow. Operating cash flow was $9.3 million in Q4, compared to $4.5 million in last year.

Speaker #1: In Q4 last year. Moving on to balance sheet. We ended Q4 with $374.9 million in cash, cash equivalents, bank deposits, and financial products issued by banks.

Speaker #1: Net cash outflow in the quarter was mainly due to share repurchase of $10.9 million. In the fourth quarter, we repurchased $12 million ordinary shares, or $3 million ADS, representing 3.3% of our outstanding shares, as the beginning of the quarter.

Speaker #1: Since our board approved the share repurchase program in February 2022, we have repurchased $143.1 million worth of shares, through December 31st. 2025. Which represented $71.6% of our $200 million share repurchase program.

Speaker #1: We are pleased to announce that our board has authorized a 12-month extension of our share repurchase program, through February 28th, 2027. With all other terms unchanged, this reflects the board's confidence in our long-term growth prospects, and our continued commitment to delivering shareholder value.

Speaker #1: Now turning to guidance. For the first quarter of 2026, we currently expect total revenues to be between $36 and $37 million. Compared to $33.3 million in the first quarter of 2025.

Speaker #1: Representing year-over-year growth rate of 8.1 to 11.1%. This outlook reflects our current and preliminary views on the market and operational conditions, which are subject to change.

Speaker #1: In closing, I want to extend my sincere gratitude for exceptional teams in Shenwang and Agora, our sustained double-digit revenue growth, and double-digit net income margin, are a direct direct result of your dedication and execution.

Speaker #1: Let's remain focused on driving revenue growth, and advancing conversational AI innovation, throughout 2026. To our shareholders, thank you for your continued trust and partnership.

Speaker #1: Thank you all for joining the call today. Let's open it up for questions.

Speaker #2: As a reminder to ask a question, please press star 11 on your telephone keypad, and wait for your name to be announced. To withdraw your question, please press star 11 again.

Speaker #2: Just a moment for our first question, please. First question comes from Dylan Lee, from Bank of America Securities. Please go ahead.

Speaker #3: Hi, Matt Smith. Thanks for taking my question. Firstly, congrats on the strong Q4 results. And I have two questions here. Firstly, could you update us the overall RRT demand trend in China and overseas?

Speaker #3: And what industries are the key demand drivers? Secondly, you have released the Canvo AI device kit, and could you please share more color on the conversational AI applications, and what industries and applications are the key drivers?

Speaker #3: And besides I'm not sure could you share some color about your targeted revenue for the conversational AI this year? Thank you.

Speaker #4: Okay. For the real-time engagement market trend, in China, demand from social entertainment and education customers continues to grow at a modest rate. While we remain optimistic on the vast growth potential of IoT and digital transformation customers, to drive our China revenue.

Speaker #4: In recent months, competitive pressure for the base and we believe the industry will continue to consolidate. In the US and international markets, as I mentioned earlier, our success in one of the massive single-channel live streaming events solidifies our position and brand awareness among live shopping customers.

Speaker #4: Which will bring more business opportunities for us. The confidence that we will gain more market share in this vertical. And for Canvo AI device kit, so we do expect our conversational AI revenue to continue to grow the use cases not just on companionship toys, as I mentioned, also on physical AI equipment, all happening.

Speaker #4: For the.

Speaker #3: Well, for the revenue, so as you know, we released our conversational AI engine in March last year. And since its release, as Tony just talked about, its usage has more than doubled every single quarter.

Speaker #3: Its revenue contribution is still relatively low at the moment, because a lot of customers are in POC stage. So the revenue growth lags behind usage growth.

Speaker #3: But we do see a healthy pipeline of customers. So based on that, we expect to see revenue contribution from conversational AI to ramp up throughout this year.

Speaker #3: And our goal is for conversational AI to approach 5% of AR contribution towards the end of this year. Tony, you want to talk more about the use cases?

Speaker #4: Sure. We've been talking about the conversational AI use cases before. It's still focused on customer service companionship devices, education, and interactive avatars. We're now also focusing closely with global customers from the US, Europe, South America, Asia, Pacific region, and inside China.

Speaker #4: To implement our solution in a couple of customer service scenarios, such as online marketing, marketing, pooling, market pooling, appointment scheduling, other confirmation, and so on.

Speaker #4: For companionship devices, a number of device shipment and activations are promising. And more importantly, our solution is becoming the de facto industry standard or best practice we expect to see more customers launch their products throughout the year, including some based on well-known IP with the potential to become a global hit.

Speaker #3: Thank you, Jim Moson and Tony Zhong. Thank you.

Speaker #5: Thank you.

Speaker #2: Thank you. Just a moment for our next question, please. Next, we have Ru Han from CICC. Please go ahead.

Speaker #6: Hi. This is Ru Han from CICC. Can you hear me?

Speaker #3: Yep. Yes, I can.

Speaker #6: Okay. Thanks for taking my question. Sure. And congrats on another solid quarter. Especially with revenue coming above the high end of guidance. My first question is on gross margin.

Speaker #6: We noticed that gross margin declined slightly year over year to 65%. Just as Jim Bo said, can you forecast through the key factors behind that decline?

Speaker #6: Should we view this as mixed driven and temporary or more structural given AI ramp-up up costs? How should we think about margin trend into 2026?

Speaker #6: My second question is on profitability for 2026. After achieving four-year gap profitability in 2025, how do you think about operating income and operating margin next year?

Speaker #6: What are the main drivers that could support further margin expansion? Yeah, that's it. Thank you.

Speaker #3: Sure. So I will talk about gross margin first. As I said, the slight decrease in gross margin was mainly due to the impact of conversational AI-related products.

Speaker #3: Because some of the customers are still in early pilot stage. And we don't charge customers for pilot POC experimentations. So revenue ramp-ups lag behind usage growth.

Speaker #3: And also, the Canvo AI infrastructure is currently running at a very small scale. Sub-scale levels. So that's why the if we only look at the margin of that particular product, it's very, very low at the moment.

Speaker #3: And that drags down the overall margin slightly. We do expect this to improve as usage and revenue ramp-up. But it might take a couple of quarters to fully recover.

Speaker #3: So when we got our internal forecast and gave guidance on 2026 profitability, we are essentially forecasting flat gross margins. Compared to Q4 2025. So in terms of operating income, so we expect operating income to improve significantly further improve significantly compared to 2025.

Speaker #3: Again, it's driven by revenue growth, improved operating leverage, and our goal is to achieve gap operating profit in Q4 2026. Please note, this is after taking into consideration about $6 million of share-based compensation, in 2026, and also nearly $4 million of amortization.

Speaker #3: Related to the headquarters project. So after these two items, we expect to significantly improve the operating income.

Speaker #6: Okay. That's very helpful. And congrats again on a strong year. All the best going forward.

Speaker #3: Thank you.

Speaker #2: Thank you. Next question comes from Zhong Xun. Yang from CITIC. Securities. Please go ahead.

Speaker #4: Yeah. So thanks for taking our question. And also congrats on the last quarter's performance. So I just have one question follow the first question from the back of Americans.

Speaker #4: Regarding to AI. So we can see that the stock price for especially for those US software companies have fluctuated recently. So the market has a lot of concern about AI in software.

Speaker #4: So I just want to know that how do you think of the maybe the infrastructure and the cybersecurity companies' position on this AI era?

Speaker #4: And also maybe other companies' leader view on this issue and other companies' position in the AI space. Thank you.

Speaker #3: Yeah. So SaaS service is threatened because of the drastic cost reduction in building UI/UX. And application layer logic of software by web coding or AI coding.

Speaker #3: However, the system level or infrastructure level core services, including the PaaS and API services, we provided are actually facing increasing demand from web coding.

Speaker #3: And the need for an even higher quality and scalable API services are actually much needed than before. And it's hard to imagine those hardcore low-level or system-level infrastructure technology would be easily disrupted by web coding or just AI coding.

Speaker #3: So as the demand for real-time multimodal interactions with AI grows, especially in this sector, we will largely benefit from the global trend of AI development.

Speaker #3: Plus, who is not an AI company these days? If you are not, you are outdated. We as a company is the first one to introduce AI technology into RT sector, even before the generative AI era.

Speaker #3: And we are the first one to launch AIGC RT SDK. First one to demo full duplex conversational AI. We provide the best AI turn-taking and AI verity models in the world.

Speaker #3: And we are one of the few to launch the real-time API with OpenAI. So we're heavily invested in the AI development and the AI infra front.

Speaker #3: We have also positioned the company as a leading innovator in generative AI era. And we are committed to be one in the coming decades.

Speaker #5: Yeah. Actually, I want to add a layman's perspective from a non-technical person. So now if you ask a coding agent or cloud code or open cloud to write a app with real-time engagement features like write a meeting app for your own company or your team, it's most likely actually if you try, you will see that the agent will call API to build this.

Speaker #5: Instead of try to rebuild the entire real-time communication infra and the fundamental code again. So actually, we'll be used by the coding agents rather than be replaced by coding agents.

Speaker #4: Okay. Got it. So no more questions. Thank you. I'll be back to the queue.

Speaker #5: Thank you.

Speaker #2: Thank you. Our last question comes from Su Yue from China Securities Co. Please go ahead.

Speaker #4: Okay. Thank you. Thanks for mentioning for taking my question and congrats on the solid results. So I have two questions. The first question is regarding the ghost property margin.

Speaker #4: We see this quarter, the ghost market profit margin is kind of dropped down by the AI investment. So how do you forecast the full future AI product margin trend?

Speaker #4: And the second question is, how do you view the ghost strategy for the home quarters for AI toys and the customer service? And have you seen the inflection point for adoption in this verticals?

Speaker #5: Sure. So again, in terms of cost margin, we actually think the conversational AI product has great margin potential. Based on own internal estimate, if we operate at a normal level, at good utilization rate, and a decent scale, the gross margin of the AI product should be at least similar if not higher than the current core RTE product.

Speaker #5: So the current relatively low margin is really due to the suboptimal scale. And also a lot of POC ongoing. So we don't have a fundamental concern on the margin.

Speaker #5: It will just take some time to ramp up to the target levels. So that's on gross margin. In terms of the AI product adoption, as Tony talked about, right, we do expect the adoption to grow throughout this year.

Speaker #5: And you talk about the performance and cost, right? I think it's not just us, the internal performance, but for all the players globally in conversational AI, there are a lot of new startups focused on this area.

Speaker #5: And I think we face a problem the same problem. The technology itself is fundamentally ready. But from an engineering perspective, there remains a lot of corner cases.

Speaker #5: And use case adaption to be done. This will take time. But it's really just a question of time, not a question of whether it will work or not.

Speaker #5: So we think we made a lot of progress already in 2025. That's why in several use cases like companionship toys, like urban calling, in several use cases, it's already working.

Speaker #5: And we'll solve more problems this year. And we do think it's not like one single turning point, but we'll solve use case by use case.

Speaker #5: And gradually, penetrate into more verticals. And on the cost side, as we all know, right, cost is coming down. Steadily. On all the models.

Speaker #5: So we do not think the cost will be a blocking factor.

Speaker #4: Okay. Thank you.

Speaker #2: Thank you. There are no further questions. That concludes today's Q&A session. Thank you, everybody, for attending the company's call today. As a reminder, the recording and the earnings release will be available on the company's website at investor.agora.io.

Operator: 2025 financial results conference call. To ask a question during the session, you need to press star one one on your telephone. You will hear an automated message advising your hand is raised. To withdraw your question, please press star one one again. Please be advised that today's conference is being recorded. The company's earnings results, press release, earnings presentation, SEC filings, and a replay of today's call can be found on its IR website at investor.agora.io. Joining me today are Tony Zhao, Founder, Chairman, and CEO. Jingbo Wang, the company's CFO. During this call, the company will make forward-looking statements about its future financial performance and other future events and trends. These statements are only predictions that are based on what the company believes today. Actual results may differ materially.

Operator: These forward-looking statements are subject to risks, uncertainties, assumptions, and other factors that could affect the company's financial results and the performance of its business, and of which company discussed in detail in its filings with the SEC, including today's earnings press release, and the risk factors and other information contained in the final prospectus relating to its initial public offering. Agora, Inc. remains no obligations to update any forward-looking statements the company may make on today's call. With that, let me turn the call over to Tony. Please go ahead.

Tony Zhao: Thanks, operator, and welcome everyone to our earnings call. I'll begin by reviewing our operational performance for the past quarter. We're pleased to report our fifth consecutive quarter of GAAP profitability in Q4, marking our first full year of GAAP profitability since 2018, driven by sustained double-digit revenue growth, improved operating leverage, and disciplined cost management. Total revenue for Q4 was $38.2 million, representing 10.7% year-over-year growth. Our GAAP net profit for Q4 was $4.9 million, with a GAAP net margin of 12.9%. Next, I would like to share with you our recent business update, which highlights both the strength of our core real-time engagement business and the accelerating momentum of our conversational AI initiatives. Our platform scalability and reliability were recently validated during a high-profile live streaming event over the Super Bowl weekend.

Tony Zhao: MrBeast, the world's most followed content creator, hosted a broadcast session on Walmart, the leading video-based shopping platform and a longstanding customer of Agora. We delivered high-quality full HD video to nearly 600,000 peak concurrent viewers worldwide while enabling their interactions at sub-second latency. To quote our customer's own words from their technical blog, "On event day, Agora's real-time media pipeline performed reliably at peak. Time to first stream stayed under one second. Latency remained consistently low, and video quality held stable throughout the stream, even as we pushed systems to their limits at extreme load." We believe this is the largest live video shopping event in US history. Events of this magnitude are the ultimate stress test for real-time infrastructure. Our ability to deliver stable, high-quality video with ultra-low latency at a global scale demonstrates our leadership in network resilience, distributed architecture, and real-time routing.

Tony Zhao: This event was powered exclusively by our platform as no competitors can match our performance and scale. This is why industry leaders in e-commerce, social entertainment, and education continue to trust our infrastructure for their most critical moments. At the same time, we are witnessing rapid adoption of our Conversational AI Engine product. Since its launch in March 2025, usage has more than doubled each quarter. We are also encouraged to see early experimentations among our customers quickly evolve into real-world deployment across multiple verticals, including customer service, smart devices, education, and AI-powered consumer applications. Companionship toys powered by our solutions, such as Fuzozo, are driving accelerated shipment with high user stickiness. Validating this momentum, a leading consumer hardware giant recently launched a companionship toy built on our technology.

Tony Zhao: Furthermore, our Conversational AI Device Kit, integrating a voice module and an emotion display screen, has set an industry trend and is now widely adopted by manufacturers. We started the year with a strong reception of our conversational AI solution for physical AI at CES 2026 in January. At the event, we introduced the latest upgrade of our Conversational AI Device Kit, featuring enhanced multimodal capabilities, including vision understanding and motion control. These new capabilities enables the development of embodied AI hardware and robotics across multiple use cases. For example, our customer, Luwu Dynamics, is developing a desktop embodied AI robot powered by this solution. Many of our customers also showcased products at CES that leverage our solutions, ranging from AI companion devices and robotics to next-generation physical AI products.

Tony Zhao: The strong market interest and media coverage coming out of CES further validates the growing demand for real-time human-like interaction embedded directly into smart devices. Beyond one-on-one interaction between humans and AI agents, we're also expanding into multi-agent collaboration scenarios. During the quarter, we supported Agnes AI in launching its next-generation AI group chat and multi-agent collaboration platform. By leveraging our real-time engagement infrastructure and conversational AI capabilities, Agnes AI enables multiple AI agents and human participants to interact seamlessly. We believe multiple agent orchestration represents the next frontier of AI-driven productivity, while agents can coordinate tasks, share information, and collaborate with humans in real time. Across this development, a clear theme is emerging. As AI becomes more interactive and multimodal, the technology complexity behind delivering a seamless interaction experience between a human and an AI agent increases significantly.

Tony Zhao: Real-time conversational AI requires not only powerful foundation models, but also advanced audio processing, ultra-low latency networking, global scalability, interruption handling, turn-taking management, and device-level optimization. These are areas where we have made substantial investments and have built a strong competitive edge. Our deep expertise in real-time infrastructure uniquely positions us to bridge the gap between AI model capabilities and production-grade user experiences. Looking ahead, we remain focused on driving revenue growth and advancing conversational AI innovation throughout 2026. We enter the new year with strong momentum, supported by an expanding customer pipeline, growing production deployment, and increasing ecosystem partnership. We believe we are well-positioned to capture this transformation and create long-term value for our shareholders. Before I conclude, I would like to thank our customers, developers, partners, and shareholders for their continued trust and support, and our global team for their dedication and innovation.

Tony Zhao: With that, let me turn things over to Jinbo, who will reveal our financial results.

Jingbo Wang: Thank you, Tony. Hello, everyone. Let me start by first reviewing financial results for Q4 2025, and then I will discuss outlook for Q1 2026. Total revenues for Q4 reached $38.2 million, representing a 10.7% year-over-year increase and exceeding the high end of our revenue guidance. This marks our fourth consecutive quarter of double-digit organic growth. If we look at the two business divisions, Agora revenues reached $19.9 million in Q4, representing 14.4% year-over-year growth and 9.3% quarter-over-quarter growth. The strong growth reflects our successful market penetration and growing adoption in verticals such as live shopping. Shengwang revenues reached RMB 129.2 million in Q4, up 5.7% year-over-year and 5.6% sequentially, driven by continued business expansion and adoption in key verticals such as social, entertainment, and IoT. Dollar-based net retention rate is 109% for Agora and 89% for Shengwang.

Jingbo Wang: Gross margin for Q4 was 65.1%, down 1.5 percentage points year-over-year, and 0.9 percentage points sequentially. The slight decline was primarily driven by the lower margin profile of our conversational AI-related products, as usage is still ramping up and remains at a subscale level. Turning to expenses. R&D expenses were $13.6 million in Q4, down 7.7% year-over-year, reflecting our continued cost discipline. R&D expenses accounted for 35.8% of total revenues, compared to 42.9% in the same period last year. Marketing expenses were $7.1 million in Q4, down 2.1% year-over-year. Marketing expenses represented 18.7% of total revenue in Q4 compared to 21.1% in Q4 last year. G&A expenses were $5.4 million in Q4, a decrease of 16.5% year-over-year, primarily due to lower provisions for credit losses following improved customer collections. G&A expenses represented 14.1% of total revenues, compared to 18.7% in Q4 last year.

Jingbo Wang: Moving on to the bottom line. We delivered net income of $4.9 million in Q4, representing a 12.9% net income margin. As Tony just mentioned, this marks our fifth consecutive quarter of GAAP profitability and the first full year of GAAP profitability since 2018. Based on current business momentum and visibility into 2026, we expect net income to grow compared to 2025. Now turning to cash flow. Operating cash flow was $9.3 million in Q4 compared to $4.5 million in Q4 last year. Moving on to balance sheet. We ended Q4 with $374.9 million in cash equivalents, bank deposits and financial products issued by banks. Net cash outflow in the quarter was mainly due to share repurchase of $10.9 million. In Q4, we repurchased 12 million ordinary shares or 3 million ADSs, representing 3.3% of our outstanding shares at the beginning of the quarter.

Jingbo Wang: Since our board approved the share repurchase program in February 2022, we have repurchased $143.1 million worth of shares through 31 December 2025, which represented 71.6% of our $200 million share repurchase program. We are pleased to announce that our board has authorized a 12-month extension of our share repurchase program through 28 February 2027, with all other terms unchanged. This reflects the board's confidence in our long-term growth prospects and our continued commitment to delivering shareholder value. Now turning to guidance. For Q1 2026, we currently expect total revenues to be between $36 and $37 million, compared to $33.3 million in Q1 2025, representing year-over-year growth rate of 8.1% to 11.1%. This outlook reflects our current and preliminary views on the market and operational conditions, which are subject to change.

Jingbo Wang: In closing, I want to extend my sincere gratitude to our exceptional teams in Shengwang and Agora. Our sustained double-digit revenue growth and double-digit net income margin are a direct result of your dedication and execution. Let's remain focused on driving revenue growth and advancing conversational AI innovation throughout 2026. To our shareholders, thank you for your continued trust and partnership. Thank you all for joining the call today. Let's open it up for questions.

Operator: As a reminder, to ask a question, please press star one one on your telephone keypad and wait for your name to be announced. To withdraw your question, please press star one one again. Just a moment for our first question, please. First question comes from Dylan Lee from Bank of America Securities. Please go ahead.

Dylan Lee: Hi, management. Thanks for taking my question. Firstly, congrats on the strong Q4 results. I have two questions here. Firstly, could you update us the overall RTE demand trend in China and overseas? What industries are the key demand drivers? Secondly, you have released the ConvoAI Device Kit, could you please share more color on the conversational AI applications and what industries and applications are the key drivers? Besides, I'm not sure, could you share some color about your targeted revenue for the conversational AI this year? Thank you.

Tony Zhao: Okay. For the real-time engagement market trend in China, demand from social entertainment and education customers continue to grow at a modest rate. While we remain optimistic on the vast growth potential of IoT and digital transformation customers to drive our China revenue, in recent months, competitive pressure further abates, and we believe the industry will continue to consolidate. In US and international markets, as I mentioned earlier, our success in one of the massive single-channel live streaming event solidifies our position and brand awareness among live shopping customers, which will bring more business opportunities for us. We're confident that we will gain more market share in this vertical. For ConvoAI Device Kit, we do expect our conversational AI revenue to continue to grow. The use cases, not just on companionship toys, as I mentioned also on physical AI equipment, are all happening.

Jingbo Wang: For the revenue. As you know, we released our Conversational AI Engine in March last year. Since its release, as Tony just talked about, its usage has more than doubled every single quarter. Its revenue contribution is still relatively low at the moment, because a lot of customers are in POC stage. The revenue growth lags behind usage growth. We do see a healthy pipeline of customers. Based on that, we expect to see revenue contribution from conversational AI to ramp up throughout this year. Our goal is for conversational AI to approach 5% of ARR contribution towards the end of this year. Tony, you want to talk more about the use cases?

Tony Zhao: Sure. We've been talking about the Conversational AI use cases before. It's still focused on customer service, companionship devices, education, and interactive avatars. We're now also focusing closely with global customers from US, Europe, South America, Asia Pacific, and inside China to implement our solution in a couple of customer service scenarios, such as outbound marketing, market polling, appointment scheduling, order confirmation, and so on. For companionship devices, number of device shipment and activations are promising. More importantly, our solution is becoming the de facto industry standard or best practice. We expect to see more customers launch their products throughout the year, including some based on well-known IP with the potential to become a global hit.

Operator: Thank you, Jingbo Wang and Tony Zhao. Thank you.

Tony Zhao: Okay.

Operator: Thank you. Just a moment for our next question, please. Next, we have Rui Han from CICC. Please go ahead.

Rui Han: Hi, this is Ru Han from CICC. Can you hear me?

Jingbo Wang: Yep.

Rui Han: Okay.

Jingbo Wang: Yeah, go ahead.

Rui Han: Thanks for taking my question. Sure. Congrats on another solid quarter, especially with revenue coming above the high end of guidance. My first question is on gross margin. We noticed that gross margin declined slightly year over year to 65%, just as Jingbo said. Can you walk us through the key factors behind that decline? Should we view this as mix-driven and temporary or more structural given AI ramp-up costs? How should we think about margin trend into 2026? My second question is on profitability for 2026. After achieving full year GAAP profitability in 2025, how do you think about operating income and operating margin next year? What are the main drivers that could support further margin expansion? Yeah, that's it. Thank you.

Jingbo Wang: Sure. I will talk about gross margin first. As I said, the slight decrease in gross margin was mainly due to the impact of conversational AI-related products. Some of the customers are still in early pilot stage, and we don't charge customers for pilot POC experimentations. Revenue ramp-ups lags behind usage growth. The conversational AI infrastructure is currently running at a very small scale, sub-scale levels. That's why if we only look at the margin on that particular product, it's very low at the moment. That drags down the overall margin slightly. We do expect this to improve as usage and revenue ramp up. It might take a couple of quarters to fully recover. When we guide our internal forecast and give guidance on 2026 profitability, we are essentially forecasting flat gross margins compared to Q4 2025.

Jingbo Wang: In terms of operating income, we expect operating income to further improve significantly compared to 2025. Again, it's driven by revenue growth, improved operating leverage, and our goal is to achieve GAAP operating profit in Q4 2026. Please note this is after taking into consideration about $6 million of share-based compensation in 2026, and also nearly $4 million of amortization related to the headquarters project. After these two items, we expect to significantly improve the operating income.

Rui Han: Okay. That's very helpful. Congrats again on a strong year. All the best going forward.

Jingbo Wang: Thank you.

Operator: Thank you. Next question comes from Zhong Xun Yuan from CITIC Securities. Please go ahead.

Zhong Xun Yuan: Yeah. Thanks for taking our question and also congrats on the Q4's performance. I just have one question follow the first question from BofA Securities regarding to AI. We can see that the stock price, especially for those US software companies, have fluctuated recently. The market has a lot of concern about AI software. I just want to know that how do you think of the, maybe like the infrastructure and the cybersecurity company's position on this AI era. Also maybe like other companies' leader view on this issue and the other company's position in the AI space. Thank you.

Tony Zhao: Yeah. SaaS service, certainly because of the drastic cost reduction in building UI/UX and a prediction layer logic of software by web coding or AI coding. However, the system level or infrastructure level core services, including the PaaS and API services we provided, are actually facing increasing demand from web coding. The need for an even higher quality and scalable API services are actually much needed than before. It's hard to imagine those hardcore low level or system level infrastructure technology would be easily disrupted by web coding or just AI coding. As the demand for real-time multimodal interactions with AI engine grows, especially in this sector, we will largely benefit from the global trend of AI development. Plus, who's not an AI company these days? If you are not, you are outdated.

Tony Zhao: We, as a company, is the first one to introduce AI technology into RT sector, even before the generative AI era. We are the first one to launch AIGC RT SDK. First one to demo full duplex conversational AI. We provide the best AI turn-taking and AI waiting models in the world, and we are one of the few to launch the Realtime API with OpenAI. We're heavily invested in the AI development and AI infra front. We have also positioned the company as a leading innovator in generative AI era, and we are committed to be one in the coming decades.

Jingbo Wang: Yeah. Actually, I want to add a layman's perspective, from a non-technical person. Now if you ask a coding agent, a Claude Code or OpenAI to write a app with real-time engagement features, like write a meeting app for your own company or your team. It's most likely, actually, if you try, you will see that the agent will call API to do this instead of try to rebuild the entire real-time communication infra and the fundamental code again. Actually it will be used by the coding agents rather than be replaced by coding agents.

Zhong Xun Yuan: Okay, got it. No more questions. Thank you. I will back to the queue.

Tony Zhao: Thank you.

Operator: Thank you. Our last question comes from Yue Xu from China Securities Co. Please go ahead.

Yue Xu: Okay. Thank you. Thanks for management for taking my question, and congrats on the solid results. I have two questions. The first question is regarding the gross profit margin. We see this quarter the gross profit margin is kind of dropped down by AI investment. How do you forecast for future AI product margin trend? The second question is, how do you view the gross trajectory for the AI home quarters for AI toys and customer service? Have we seen the inflection point for adoption in these verticals?

Jingbo Wang: Sure. Again, in terms of gross margin, we actually think the conversational AI product has greater margin potential, based on own internal estimate. If we operate at normal levels, at a good utilization rate and a decent scale, the gross margin of the AI product should be at least similar, if not higher, than the current core RT product. The current roughly low margin is really due to the suboptimal scale, and also a lot of POC ongoing. We don't have a fundamental concern on the margin. It will just take some time to ramp up to the target levels. That's on gross margin. In terms of the AI product adoption, as Tony talked about, we do expect adoption to grow throughout this year. You talk about the performance and the cost.

Jingbo Wang: I think it's not just us, the Internet performance, but for all the players globally in conversational AI, there are a lot of new startups focused on this area. As always, there's the problem, the same problem. The technology itself is fundamentally ready, but from an engineering perspective, there remains a lot of corner cases and use case adaption to be done. This will take time, but it's really just a question of time, not a question of whether it will work or not. We think we made a lot of progress already in 2025. That's why in several use cases like companionship calls, like outbound calling, in several use cases, it's already working, and we'll solve more problems this year. We do think it's not one single turning point, but we'll solve use case by use case and gradually penetrate into more verticals.

Jingbo Wang: On the cost side, as we all know, cost is coming down steadily on all the models, so we do not think the cost will be a blocking factor.

Yue Xu: Okay. Thank you.

Operator: Thank you. There are no further questions. That concludes today's Q&A session. Thank you everybody for attending the company's call today. As a reminder, the recording and the earnings release will be available on the company's website at investor.agora.io. If there's any other questions, please feel free to email the company. Thank you.