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  4. Zhihu Inc. (ZH) Q2 2025 Earnings Call Transcript

Zhihu Inc. (ZH) Q2 2025 Earnings Call Transcript

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ZH
Zhihu Inc
3.17 USD
-1.86%

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

Overview

The earnings call presents mixed signals: a decline in revenue and specific segments, but an improvement in gross margin, cost control, and profitability. The Q&A section reveals cautious optimism, with management focusing on AI integration and shareholder returns. However, the lack of specific guidance and avoidance of detailed plans may concern investors. The share repurchase program and profitability turnaround are positives, but the overall sentiment remains balanced, leading to a neutral stock price prediction.

Key Financial Performance

Adjusted Net Income RMB 91.3 million compared to a loss of RMB 44.6 million in the same period last year, reflecting a significant improvement due to disciplined operating strategy and AI-powered productivity gains.

Gross Margin Expanded by approximately 3 percentage points year-over-year, driven by improved monetization capabilities and operating efficiency.

Total Revenue RMB 716.9 million compared with RMB 933.8 million in the same period of 2024, a decline due to ongoing business optimization and transition to a higher-quality revenue mix.

Marketing Services Revenue RMB 222.8 million compared with RMB 344 million in the same period of 2024, a decrease due to refinement of service offerings and focus on improving margins, but grew 13.1% sequentially.

Paid Membership Revenue RMB 402 million, down from RMB 432.7 million in the same period of 2024, primarily due to a strategic shift towards acquiring users with longer life cycles and higher ROI potential.

Vocational Training Revenue RMB 62.1 million compared with RMB 133.6 million in the same period of 2024, a decline due to prioritization of faster-growing self-operated course offerings.

Other Revenues RMB 30 million compared with RMB 23.5 million in the same period of 2024, showing growth.

Gross Profit RMB 448.2 million compared with RMB 556.5 million in the same period of 2024, with gross margin expanding to 62.5% from 59.6% year-over-year.

Operating Expenses RMB 539.2 million, a 27.2% year-over-year decline due to tighter cost controls and productivity improvements.

Selling and Marketing Expenses RMB 326.3 million, a 21.8% year-over-year decrease due to disciplined promotional spending and lower personnel-related expenses.

Research and Development Expenses RMB 145.7 million, a 30.4% year-over-year decrease due to improved efficiency in R&D activities.

General and Administrative Expenses RMB 67.3 million, a 41.1% year-over-year decrease due to reduced allowance for expected credit losses and lower share-based compensation.

Investment Income RMB 140.8 million compared with RMB 21.8 million in the same period of 2024, an increase due to unrealized gains from remeasuring the fair value of an investment.

GAAP Net Income RMB 72.5 million compared with a net loss of RMB 806 million in the same period of 2024, reflecting a significant turnaround.

Cash and Cash Equivalents RMB 4.8 billion as of June 30, 2025, compared with RMB 4.9 billion as of December 31, 2024, showing stability.

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Operating Highlights

AI-powered productivity gains: Zhihu has integrated AI deeply into its platform, enhancing user and creator experiences. New features like personal knowledge assistance and Zhihu Zhida public knowledge base have been launched, offering seamless AI interaction for reading, Q&A, and search use cases.

AI-related content growth: Professional AI-related content has grown over 45% year-over-year for two consecutive quarters. The platform has become a hub for AI developers and engineers to share insights and launch new products.

New product launches: AI-related products like Moonshot AI's Kimi K2 model, ByteDance's GR-3 robot model, and Zhipu AI's GLM-4.5 model were launched on Zhihu, accompanied by detailed discussions and Q&A sessions.

Expansion in enterprise-facing clients: Zhihu expanded its enterprise-facing client base and diversified commercial IP products and services tailored for top-tier clients.

Increased advertising efficiency: Advertising spend from the gaming sector increased fourfold year-over-year, and the client base expanded by 75%. AI capabilities improved CPM performance and reduced ad load.

Improved financial performance: Zhihu achieved its third consecutive quarter of non-GAAP profitability, with adjusted net income of RMB 91.3 million and a gross margin expansion to 62.5%.

Cost optimization: Operating expenses declined by 27.2% year-over-year due to tighter cost controls and productivity improvements.

Focus on high-quality content: Zhihu reduced low-quality content distribution by over 98% year-over-year and emphasized professional, trustworthy content.

AI integration strategy: Zhihu aims to establish itself as a foundational source of reliable content for the Chinese AI ecosystem by integrating AI deeply into its community and services.

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Risk or Challenges

Revenue Decline: Total revenues for the quarter decreased to RMB 716.9 million compared to RMB 933.8 million in the same period of 2024, driven by ongoing business optimization and a shift towards a higher-quality revenue mix.

Marketing Services Revenue: Marketing services revenue decreased to RMB 222.8 million from RMB 344 million in the same period of 2024, due to refinement of service offerings and strategic focus on improving margins.

Paid Membership Revenue: Paid membership revenue declined slightly to RMB 402 million from RMB 432.7 million in the same period of 2024, primarily due to a decrease in new subscriptions following a shift in focus towards acquiring users with longer life cycles and higher ROI potential.

Vocational Training Revenue: Vocational training revenue dropped to RMB 62.1 million from RMB 133.6 million in the same period of 2024, as the company phased out offerings with limited growth potential or lower profitability.

Content Quality Challenges: Efforts to suppress low-quality content have reduced its distribution by over 98% year-over-year, but maintaining high-quality content remains a challenge as the platform scales.

Economic and Market Conditions: The company is navigating an adjustment cycle in its marketing services and overall revenue streams, reflecting broader economic and market challenges.

Strategic Execution Risks: The shift towards a more resilient and higher-quality revenue mix and the focus on long-term growth may pose risks to short-term financial performance.

AI Integration Risks: While AI integration is a key focus, there are risks associated with ensuring the reliability and accuracy of AI-driven features, such as reducing AI hallucinations in professional domains.

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Guidance & Outlook

AI Integration and Development: Zhihu plans to further enhance user and creator experience by integrating AI more deeply throughout its community. This includes adding intuitive features like personal knowledge assistance and refining AI capabilities to amplify the platform's value as a trusted content and expert network. The company aims to establish itself as a foundational source of reliable content for the Chinese AI ecosystem.

Commercialization and Marketing Services: Zhihu expects marketing services to recover more strongly in the second half of 2025, driven by ongoing improvements to AI capabilities and product upgrades. The company is focusing on expanding its enterprise-facing client base and diversifying commercial IP products and services tailored for top-tier clients. Advertising spend from the gaming sector saw a fourfold increase year-over-year, and the client base expanded by 75%.

Paid Membership Business: Zhihu is focusing on acquiring users with longer life cycles and higher ROI potential. The company is enhancing user stickiness and diversifying paid content and business models, including premium content formats and service offerings under Yanyan Story. Voice live streaming and long-form content initiatives are expected to drive extended user subscription cycles and monetization potential.

Vocational Training Business: Zhihu is transitioning its vocational training business to a community-driven approach that fosters deeper social engagement and knowledge sharing. The company is focusing resources on high-performing course categories and gradually phasing out offerings with limited growth potential or lower profitability. This strategic focus is designed to improve overall business quality and long-term growth.

Content Ecosystem and Creator Engagement: Zhihu plans to continue developing its content ecosystem by promoting the open sharing of professional content and strengthening the synergy between high-quality content, trusted expert networks, and AI capabilities. The company aims to expand its AI capabilities beyond its platform, offering trusted content and services to a wider user base.

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Shareholder Return Plan

Share Repurchase Program: As of June 30, 2025, Zhihu repurchased 31.1 million Class A ordinary shares for an aggregate value of USD 66.5 million on the open market. Additionally, the company repurchased a total of 18.6 million Class A ordinary shares for an aggregate value of USD 27.9 million through the trustee of the company as of the end of Q2.

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Key Q&A

Q:Does the company have any new plans regarding AI and large language model-related products?
A:The company is keeping pace with the broader large language model industry, integrating new models (both open and closed sources). They are accelerating the upgrade of their agentic capability to leverage industry innovations. Their key products at the application layer have shown growth in penetration and usage. Zhihu Zhida has evolved from AI search to AI search combined with a knowledge base, integrating seamlessly with community and AI-native domains. They plan significant experience updates in Q4.
Q:What is the current user matrix for Zhihu Zhida, and how does management view the value of Zhihu's authentic user-generated content?
A:Zhihu Zhida's penetration within the community continues to grow, evolving from AI search to AI capabilities applied across diverse community scenarios. Management views human-generated content as highly valuable, serving as the 'currency of trust' in the AI era. They aim to scale trust through a formula combining trusted content, expert networks, and AI capabilities.
Q:What is the growth outlook for the marketing service, paid membership, and vocational training business? What are the key drivers for each segment in the second half, and what is the full-year profitability outlook for 2025?
A:Marketing services are nearing the end of an adjustment phase, with stabilization and recovery expected, focusing on optimizing client structures and upgrading commercial products. Paid membership is experimenting with improving renewal and retention, expanding premium content, and enhancing monetization efficiency. Vocational training focuses on efficiency and profitability, moving towards a social and knowledge-sharing model. For 2025, the company aims for near breakeven on a full-year non-GAAP basis, supported by profitability achieved in the first half of the current year.
Q:How should we anticipate the method and extent of shareholder returns going forward?
A:The company has a 10% share repurchase authorization and has repurchased 7.41 million ordinary shares (2.8% of total shares outstanding) by June 30. They continue to execute the repurchase program actively and aim to remain a significant U.S.-listed Chinese company in terms of share repurchase ratio.
Q:Review of Unclear Management Responses
A:Management avoided providing specific numerical details or concrete plans for the AI product updates, user metrics for Zhihu Zhida, and the exact drivers for profitability in 2025. Their responses were broad and lacked precise data or timelines.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI capability
AI voice
CFO remark
Foreign Language
Gaokao
IP
Inc Research
Research Division
architecture
career
community feature
connection user
content model
content space
creator engagement
creator experience
creator network
cycle
developer
development quality
effort
experience creator
festival
film television
increase
interest
launch
licensing
life
major
moat AI
model platform
network AI
number
penetration
product upgrade
productivity
purchase
search research
shopping
suite
voice agent

ZH Transcript

Zhihu Inc. (ZH) Q1 2026 Earnings Call Transcript
Unknown6-3

The earnings call revealed mixed signals: strong adjusted net income and reduced net loss, but declining gross profit and margins. AI integration and strategic shifts in membership revenue show long-term potential, yet lack immediate impact. Shareholder returns are positive, but no new partnerships or guidance changes were announced. The Q&A highlighted strategic AI focus but lacked specifics, leaving uncertainties. Without market cap data, a neutral prediction is prudent, as positive long-term strategies are counterbalanced by short-term financial challenges.

Zhihu Inc. (ZH) Q4 2025 Earnings Call Transcript
Unknown3-25

Despite challenges in financial performance, such as revenue declines and increased net loss, Zhihu's strategic focus on AI and international expansion shows potential for future growth. The positive sentiment from management's detailed Q&A responses about AI impact and future strategies balances the negative aspects. The stock price reaction is likely to be neutral, considering the mixed signals from financial metrics and strategic initiatives.

Zhihu Inc. (ZH) Q3 2025 Earnings Call Transcript
Unknown11-25

Despite challenges like decreased revenues and increased losses, management's optimistic guidance and AI progress provide a counterbalance. The Q&A highlighted positive AI integration and a healthy user ecosystem. The commitment to share buybacks also supports sentiment. However, the absence of clear market cap data and ongoing financial pressures suggest a cautious outlook, resulting in a neutral prediction.

Zhihu Inc. (ZH) Q2 2025 Earnings Call Transcript
Unknown8-27

The earnings call presents mixed signals: a decline in revenue and specific segments, but an improvement in gross margin, cost control, and profitability. The Q&A section reveals cautious optimism, with management focusing on AI integration and shareholder returns. However, the lack of specific guidance and avoidance of detailed plans may concern investors. The share repurchase program and profitability turnaround are positives, but the overall sentiment remains balanced, leading to a neutral stock price prediction.

ZH Report

Zhihu Inc. 6-K
6-K
2026-01-12
Zhihu Inc. 6-K
6-K
2025-08-14
Zhihu Inc. 6-K
6-K
2025-07-11
Zhihu Inc. 6-K
6-K
2025-06-25

Frequently Asked Questions

Where does this earnings call transcript come from?

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

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

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

Is the transcript edited or altered in any way?

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

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

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

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

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

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