Kanzhun Limited (2076.HK / BZ) - Deep Dive Research Report

Report Date: May 2, 2026

1. What the Company Does

Kanzhun runs BOSS Zhipin, a mobile app that lets job seekers chat directly with hiring managers in China. That is the entire business. There is no staffing division, no temp agency, no HR software suite. One app, one country, one thing done differently from everyone else.

The difference - and the reason the company exists - is the "direct recruitment model." Traditional Chinese job boards like 51job and Zhaopin operated on a resume-upload-and-wait system inherited from the early internet era. Job seekers would submit resumes into a void. Recruiters would sift through hundreds of applications. The process was slow, impersonal, and particularly hostile to blue-collar workers who had little interest in crafting formal resumes.

Peng Zhao, the founder, understood this problem intimately. Before starting BOSS Zhipin, he had been CEO of Zhaopin, one of the legacy platforms. He saw the industry's dysfunction from the inside - the low engagement, the misaligned incentives, the waste on both sides. In December 2013, he left to start something different. Working from a Beijing apartment, he launched BOSS Zhipin in July 2014 with one core idea: what if job seeking worked like messaging? What if a factory worker could open an app and talk to the actual boss doing the hiring, right now, on their phone?

The app works like this: a job seeker downloads BOSS Zhipin, creates a profile (which can be as simple as listing their last job and desired role - no formal resume required), and begins seeing a feed of recommended positions powered by Kanzhun's matching algorithm. When they find something interesting, they tap to start a real-time chat with the recruiter or hiring manager - the "boss." The boss can also browse job seekers and initiate conversations. Both sides must consent to the exchange for a conversation to begin - Kanzhun calls these "mutually consented exchanges," and in 2025 the platform facilitated 2.27 billion of them.

This sounds simple. It is not. The reason it works is the AI-driven recommendation engine underneath. Kanzhun has spent over 25% of revenue on R&D annually since founding, building algorithms that match candidates to positions based on work history, skills, location, salary expectations, and behavioral signals from how they interact with the app. The company developed Nanbeige, a proprietary large language model specifically trained on recruitment data, which has outperformed larger general-purpose models on recruitment-specific evaluation tasks. The matching quality creates a reinforcing loop: better matches produce more completed hires, which attract more employers, which attract more job seekers, which generate more data to improve matching.

Here is a concrete example. A restaurant chain in Chengdu needs to hire 30 kitchen workers within two weeks. On a traditional platform, they would post a job ad and wait. On BOSS Zhipin, the restaurant manager opens the app, and the AI immediately surfaces candidates in the area who have indicated interest in kitchen roles. The manager can message candidates directly, answer questions about pay and hours in real time, and schedule interviews - all from their phone. If the restaurant opts into Kanzhun's AI-managed recruitment service, an AI agent handles initial screening conversations, filters candidates by availability and qualifications, and presents the manager with a shortlist. In 2025, Kanzhun disclosed that revenue from these closed-loop AI recruitment services had reached "hundreds of millions of RMB" and was growing faster than the platform average.

By December 2025, BOSS Zhipin had served over 250 million job seekers and 36 million enterprises cumulatively. Average monthly active users hit 60.7 million for the year. The app is installed on roughly one in four smartphones in urban China, making it a piece of civic infrastructure as much as a business.

2. Business Segments

Kanzhun operates a single business: online recruitment services through BOSS Zhipin. The company does not report separate operating segments. All revenue comes from China, and virtually all revenue comes from enterprise customers paying for recruitment services on the platform.

However, the company internally tracks performance across several meaningful dimensions that function like informal segments:

By Enterprise Size:

• Key accounts (enterprises contributing over RMB 50,000 annually): Large corporations with ongoing, high-volume hiring needs. They typically use premium features like bulk messaging, advanced filtering, and now AI-managed recruitment services.
• Mid-sized accounts (RMB 5,000-50,000 annually): Growing businesses with regular but not constant hiring needs.
• Small-sized accounts (under RMB 5,000 annually): SMEs and micro-enterprises, often using the platform for just one or two hires at a time. This is the fastest-growing segment. In 2025, small-account revenue grew 21% year-over-year, and for the first time, SMEs collectively contributed over 50% of annual revenue.

By Worker Type:

• White-collar: Office workers, professionals, managers. The original core of BOSS Zhipin's user base.
• Gold-collar: Senior professionals earning above RMB 250,000 annually. A smaller but high-value segment.
• Blue-collar: Factory workers, delivery drivers, warehouse staff, restaurant employees. This is the strategic growth frontier. Blue-collar users now represent over 45% of new users, and blue-collar revenue share reached 39% in 2025, trending toward 40%+ in 2026.

By Geography:

• Tier 1 and 2 cities: The original stronghold. Demand is mature and recovering.
• Tier 3 and lower cities: The growth engine. Revenue from lower-tier cities reached approximately 25% of Q4 2025 revenue, roughly double the share from four years earlier.

While these are not formal segments, they reveal the company's strategic direction: pushing deeper into smaller enterprises, blue-collar workers, and smaller cities - the vast majority of China's labor market that legacy recruitment platforms largely ignored.

3. Products and Business Detail

The Platform: BOSS Zhipin

BOSS Zhipin is a mobile-native recruitment platform available on iOS and Android. The product is built around three pillars:

Direct Chat: The signature feature. Every interaction on the platform begins with a real-time text conversation between a job seeker and a recruiter or hiring manager. This is not email. This is not a resume drop. It is instant messaging with someone who has the authority to hire. The directness reduces the typical Chinese recruitment cycle from weeks to days.

AI-Powered Feed: Job seekers see a personalized feed of positions, similar to a social media content feed, generated by Kanzhun's recommendation algorithm. The feed considers work history, skills, location, salary expectations, industry, and behavioral patterns. Recruiters see a mirrored feed of candidate profiles. Both sides can swipe, tap, and initiate conversations - the dating app analogy is deliberate. Kanzhun's user engagement metrics (approximately 28 minutes per day per user) are significantly higher than competitors (51job and Zhaopin at around 18 minutes, Liepin at under 5 minutes).

Verification System: Every user - job seeker and enterprise - goes through identity verification. Enterprise users must provide business licenses and verify recruiter identities. This is critical for blue-collar recruitment, where job scams are common. Kanzhun launched the "KONGE Project" in 2022 specifically to combat false job postings and fraudulent employers, using AI to detect suspicious listings.

Dianzhang Zhipin

A secondary app focused on store and shop managers ("dianzhang" means shopkeeper in Chinese), primarily targeting the retail, food service, and small business sectors. It serves a similar function to BOSS Zhipin but with a user interface and feature set optimized for small business owners who are hiring for front-line positions. Revenue contribution is not broken out separately.

AI Products and Services

Kanzhun has built an increasingly sophisticated AI product suite, layered on top of the core platform:

For Job Seekers:

• AI Job Search Assistant: Provides personalized position recommendations, answers questions about specific jobs, and offers resume optimization suggestions. Fully rolled out to all users as of Q3 2025.
• AI Mock Interview: Simulates interview scenarios to help candidates prepare. Completion and engagement metrics improved through 2025.
• AI Resume Polishing: Helps users - particularly blue-collar workers unfamiliar with formal resume writing - present their experience effectively.

For Enterprises:

• AI Communication Assistant: Embedded in paid commercial products. Helps recruiters draft messages, respond to candidates, and maintain engagement. Increased mutual achievement conversion ratio by 7% in Q3 2025.
• AI Quick Hiring: Improves recruiter intent understanding and matching accuracy. Under phased rollout.
• AI Campus Recruitment: Supports multi-round follow-up with campus hiring candidates, with customizable interviewer profiles.
• AI Managed Services (Closed-Loop): The most commercially significant new product. AI agents handle initial screening, resume collection, and candidate shortlisting for high-volume hiring scenarios. This is particularly powerful for blue-collar bulk recruitment (hiring 50 kitchen staff, 200 warehouse workers). Revenue from closed-loop services reached "hundreds of millions of RMB" in 2025.

Underlying Technology:

• Nanbeige: Kanzhun's proprietary large language model, specifically trained on recruitment data. Management claims it has outperformed larger competitor models on recruitment-specific benchmarks.
• DeepSeek integration: The company has integrated open-source DeepSeek models alongside Nanbeige to power various AI features.

Monetization Model

Kanzhun charges enterprise users (employers), not job seekers. The pricing model is dynamic:

• Per-job-posting fees, calibrated to supply-demand dynamics for that role type. High-demand roles in talent-scarce categories may be posted at reduced rates or free to attract candidates.
• Value-added services: bulk invite sending, advanced candidate filtering, featured placement in job feeds, AI-managed recruitment services.
• The model creates strong alignment: Kanzhun only makes money when employers are actively hiring, and the platform's free-to-use structure for job seekers ensures a deep candidate pool.

Geographic Footprint

The company operates exclusively in mainland China. There are no disclosed international expansion plans. Within China:

• Tier 1 (Beijing, Shanghai, Guangzhou, Shenzhen): Mature, competitive market. Recovery in recruitment demand observed through 2025.
• Tier 2: Stable and growing.
• Tier 3 and below: Rapidly expanding. These cities represent the largest untapped opportunity, with tens of millions of SMEs that have traditionally relied on word-of-mouth and local networks for hiring. Revenue contribution from lower-tier cities approximately doubled over four years to reach roughly 25% by Q4 2025.

Key Milestones

• 2013: Peng Zhao founds the company in a Beijing apartment.
• 2014: BOSS Zhipin app launches with direct chat recruitment model.
• 2021 (June): IPO on Nasdaq, raising $912 million. Shares surge 96% on day one.
• 2021 (July): Cyberspace Administration of China launches cybersecurity review; new user registration suspended.
• 2022 (June): Cybersecurity review concluded; growth resumes.
• 2022 (December): Secondary listing on Hong Kong Stock Exchange (2076.HK).
• 2023: First-ever dividend declared (special dividend).
• 2024: Completed initial $200 million share buyback program. Blue-collar strategy accelerates.
• 2025: Revenue reaches RMB 8.27 billion. AI closed-loop recruitment services reach "hundreds of millions of RMB." SMEs contribute over 50% of revenue for the first time. Annual dividend policy formally adopted.

4. Customers

Who Buys

Kanzhun has two customer groups, but only one pays: enterprises. Job seekers use the platform for free.

As of December 2025, 6.83 million enterprise customers conducted paid recruitment activities on the platform over the trailing twelve months, up 11.6% year-over-year. These enterprises span virtually every industry and size category in China.

The customer base skews heavily toward SMEs: 88% of enterprises on the platform are small and medium-sized businesses. This is by design. Legacy platforms like 51job and Zhaopin were built for large corporations with dedicated HR departments. BOSS Zhipin was built for the restaurant owner, the factory floor manager, the startup founder - people who hire directly and need speed over process.

Why They Buy

For SMEs: BOSS Zhipin is often the only viable alternative to word-of-mouth hiring. These businesses typically lack an HR department or the resources to manage a traditional recruitment process. The direct chat model lets the person doing the hiring - the "boss" - find and talk to candidates immediately. Online recruitment costs roughly one-fifth of offline recruitment, and the AI recommendations reduce time-to-hire from weeks to days.

For large enterprises: The platform provides access to an active candidate pool of 60+ million monthly users, particularly in blue-collar and lower-tier city segments that are hard to reach through traditional channels. The new AI-managed recruitment services allow large-volume hiring (campus drives, seasonal factory staffing) to be partially automated.

For blue-collar hiring specifically: This is where BOSS Zhipin fills a gap no other platform addresses at scale. Blue-collar workers change jobs 2-3 times per year on average. They are predominantly mobile-first users who will not write a formal resume. BOSS Zhipin's simplified profile creation, instant chat, and verification system make it the only platform where a delivery driver in Kunming can find a new job in 48 hours without visiting a labor agency.

Switching Costs

Switching costs in online recruitment are moderate but real:

• Data lock-in: Enterprises build up candidate interaction history, hiring analytics, and AI-trained preferences over time. This data does not transfer.
• Verification investment: Both enterprise and candidate verification processes require meaningful time and documentation.
• Behavioral habit: With 28 minutes of daily engagement per user, BOSS Zhipin is embedded in daily routines.
• Network density: The platform with the most candidates attracts the most employers. In blue-collar segments and lower-tier cities, BOSS Zhipin's user base is often an order of magnitude larger than alternatives, making switching impractical for employers who need reach.

Customer Concentration

There is no meaningful customer concentration risk. With 6.83 million paid enterprise customers and no single customer disclosed as material, revenue is extremely diversified. The shift toward SMEs contributing over 50% of revenue further reduces concentration concerns.

Contract Structure

Revenue is transactional, not subscription-based. Enterprises pay per job posting and per value-added service used. There are no long-term contracts. This creates revenue volatility risk tied to hiring cycles, but also means growth is organic and not dependent on contract renewals. The closed-loop AI recruitment services are moving toward more recurring engagement, but this is still early-stage.

5. Competitive Landscape

The Players

China's online recruitment market has five meaningful participants:

BOSS Zhipin (Kanzhun): The largest platform by MAU (60.7 million in 2025). Mobile-native, direct chat model, AI-powered matching. Strong across white-collar, blue-collar, and all city tiers.

51job: One of the original Chinese job boards, founded in 1998. Acquired by Recruit Holdings (Japan) for $5.7 billion in 2022 and delisted. Traditional resume-centric model. Strong in Tier 2 and 3 cities among older users accustomed to the web-based format. User engagement roughly 18 minutes per day. Since going private, 51job has operated more quietly and its competitive posture has weakened.

Zhaopin: Another legacy platform, delisted in 2017 after being acquired by Seek Limited (Australia). Resume-centric model similar to 51job. Peng Zhao's former employer - he was CEO of Zhaopin before founding BOSS Zhipin. Market share has been declining for years as mobile-first platforms gained dominance.

Liepin (Tongdao Liepin): Focuses on "gold-collar" and mid-to-high-end white-collar recruitment. Partners with headhunters. Much smaller user base and very low engagement (4.4 minutes per day). Not a direct competitor for the blue-collar and SME market that drives BOSS Zhipin's growth, but competes in the senior professional segment.

58.com: Classified advertising platform that includes job listings among its services. Launched "Gangi Zhizhao" as a recruitment-specific product. Has meaningful scale in lower-tier cities but lacks the specialization and AI matching capabilities of a dedicated recruitment platform.

Why BOSS Zhipin Wins

Three structural advantages:

1. Mobile-native architecture: BOSS Zhipin was built for smartphones from day one. 51job and Zhaopin were web platforms that added mobile apps as afterthoughts. The direct chat model works on mobile in a way that resume-upload models do not.

2. Network density: With 60+ million MAU and 6.83 million paid enterprises, BOSS Zhipin has reached a self-reinforcing scale advantage. CEO Peng Zhao noted in Q3 2025 that "the majority of our main pay-based customers are developed on our own rather than gaining shares from our peers" - meaning growth comes from expanding the total addressable market, not stealing from competitors.

3. AI investment: Years of R&D spending (consistently above 25% of revenue) have created a recommendation engine trained on billions of interactions. The proprietary Nanbeige model and closed-loop AI recruitment services represent capabilities that late entrants would take years to replicate.

Where BOSS Zhipin is Exposed

• In the premium executive segment, Liepin and headhunter networks remain stronger.
• In certain blue-collar verticals, offline labor agencies and word-of-mouth remain deeply entrenched, particularly in construction and agriculture. Online penetration of blue-collar recruitment is estimated at only about 20%.
• The VIE structure and regulatory environment create the possibility that regulatory action could advantage a domestic competitor.

Barriers to Entry

High and rising. A new entrant would need to simultaneously build a critical mass of job seekers and employers (the cold start problem), develop a competitive AI matching engine, invest heavily in user verification infrastructure, and compete against a platform where users spend 28 minutes a day. The last significant new entrant attempt was 58.com's Gangi Zhizhao, which has not gained meaningful traction.

6. Industry

Market Size and Structure

China's online recruitment market is estimated at approximately USD 9.7 billion in 2025, making it one of the largest recruitment markets globally. Online penetration remains relatively low at approximately 35% of total recruitment spend, compared to 60-70% in mature markets like the US and UK. This gap represents the primary structural tailwind.

The white-collar online recruitment market alone is projected to reach RMB 88.4 billion by 2026, growing at a CAGR of approximately 20% from 2021.

Demand Drivers

Structural labor market shifts: China's economy is undergoing transformation from manufacturing and construction toward services, technology, and logistics. Each transition creates recruitment friction that online platforms are uniquely positioned to solve. The rise of the gig economy creates a massive, constantly churning pool of blue-collar job seekers.

SME digitization: China has over 50 million registered enterprises, the vast majority small businesses still early in adopting digital tools for HR functions. The shift from word-of-mouth to app-based recruitment is a multi-year tailwind.

AI talent demand: AI-related job postings grew 172% year-over-year on BOSS Zhipin in 2025. China's tech sector is aggressively hiring AI talent, creating a high-value, high-activity segment.

Youth employment dynamics: China's 2025 graduating class was the largest in history at 12.22 million students. Youth unemployment (ages 16-24, excluding students) fluctuated between 16% and 19% throughout 2025, settling around 16.9% in early 2026. High unemployment increases job seeker supply (good for platform liquidity) but may suppress employer demand.

Cyclicality

Online recruitment is cyclical, but less so than offline alternatives. During economic slowdowns, enterprises face budget pressure that makes expensive offline agencies less attractive - potentially pushing more recruitment activity online. The 2022-2024 period tested this: China's post-COVID economic slowdown compressed hiring budgets, but BOSS Zhipin continued growing as online share of recruitment spend expanded.

Seasonality follows Chinese hiring patterns: Q1 is typically strongest (post-Chinese New Year job switching), Q2 normalizes, Q3 sees campus recruitment drives, and Q4 moderates.

Regulatory Environment

Online recruitment platforms operate under the supervision of the Cyberspace Administration of China (CAC) and must comply with data protection regulations, PIPL, and cybersecurity requirements. Kanzhun experienced this directly in 2021 when the CAC suspended new user registration for nearly a year.

The VIE structure through which Kanzhun operates adds regulatory complexity. Chinese law restricts foreign ownership of value-added telecommunications services, which is why the operating entity is controlled through contractual arrangements rather than equity ownership.

7. Growth Triggers

Sources: Q1 2025 concall (May 22, 2025), Q2 2025 concall (August 20, 2025), Q3 2025 concall (November 18, 2025), Q4 2025 concall (March 18, 2026).

• Blue-collar revenue share expanding toward 40%+: Blue-collar users represented over 45% of new users in Q1 2025, with revenue contribution at 39% and rising. Management guided this will exceed 40% in coming quarters. (Q1 2025 concall; repeated Q2, Q3, Q4)

• SME revenue crossing 50% threshold: For the first time in 2025, SMEs contributed over half of annual revenue. Small-account revenue grew 21% year-over-year. Management identified over 40 million Chinese SMEs as untapped growth potential. (Q4 2025 concall, March 18, 2026; Q3 2025 concall)

• AI closed-loop recruitment services scaling: Revenue from AI-managed recruitment reached "hundreds of millions of RMB" in 2025 and grew faster than the platform average. Management described the industry as having "the opportunity to evolve towards a closed-loop model." (Q4 2025 concall, March 18, 2026)

• AI agent deployment improving recruiter efficiency by 25%: Enterprises using the AI agent reported a 25% improvement in recruitment efficiency. The AI communication assistant served over 9 million conversations during testing. (Q1 2025 concall, May 22, 2025)

• AI communication assistant boosting conversion by 7%: Embedded in commercial products, increased the "mutual achievement conversion ratio by 7%." (Q3 2025 concall, November 18, 2025)

• Lower-tier city penetration accelerating: Revenue from Tier 3 and lower cities reached approximately 25% of Q4 revenue, roughly doubling from four years prior. (Q1 2025 concall; Q4 2025 concall)

• New verified user target of 35+ million annually: Management committed to acquiring at least 35 million new verified users annually. In 2025, the platform added 46 million. (Q3 2025 concall, November 18, 2025)

• Manufacturing revenue leading growth for five consecutive quarters: Manufacturing-sector recruitment revenue growth led all industries through 2025. (Q3 2025 concall, November 18, 2025)

• Enterprise daily active users growing faster than job seekers: For the first time in three years, daily active enterprise users grew faster sequentially than job seeker DAU, signaling improving employer demand. (Q3 2025 concall, November 18, 2025)

• Revenue acceleration expected after Q1 2026: Management guided Q1 2026 revenue of RMB 2.05-2.085 billion (6.6%-8.4% growth) but explicitly stated they expect "clear acceleration in revenues over coming quarters." (Q4 2025 concall, March 18, 2026)

• Capital return framework: 50%+ of adjusted net income for 3 years: Starting 2026, committed to returning at least 50% of adjusted net income through dividends and buybacks, with buyback authorization upsized to $400 million. (Q4 2025 concall, March 18, 2026)

8. Key Risks

1. VIE Structure and Regulatory Overhang

Kanzhun is a Cayman Islands holding company. Investors in the ADS or Hong Kong shares do not own equity in the operating business in China. They own contractual rights to the economic benefits of Beijing Huapin Borui Network Technology, the VIE. If the Chinese government were to challenge the enforceability of VIE arrangements, investor interests could be materially impaired.

This is not theoretical. The 2021 cybersecurity review, which suspended new user registration for a year, demonstrated that regulators can and will intervene with little warning.

Probability: Low for outright VIE dissolution. Moderate for periodic regulatory friction.

2. Single-Market, Single-Product Concentration

All revenue comes from one country (China) and one product (BOSS Zhipin). There is no geographic diversification, no adjacent product line. If the Chinese labor market enters a prolonged contraction, Kanzhun has no alternative revenue source.

Management acknowledged tariff impacts are "quite limited" so far (Q1 2025), but this could change if US-China trade tensions intensify.

Probability: Moderate.

3. Youth Unemployment and Macro Demand Weakness

China's youth unemployment rate (16-24, excluding students) stood at 16.9% in March 2026. The 2025 graduating class was the largest in history. High youth unemployment creates a paradox: more job seekers use the platform, but if employers are not hiring, monetization suffers. Kanzhun's Q1 2026 revenue guidance of 6.6%-8.4% was the weakest in recent history.

Probability: High. This is an active headwind.

4. AI Disruption of the Recruitment Model

Kanzhun is investing heavily in AI, but AI is also a potential threat. If general-purpose AI chatbots or HR automation tools reduce employers' need for recruitment platforms entirely, the platform's intermediary value could erode.

Management acknowledged this thoughtfully in Q3 2025, noting they are "continuously observing" broader ecosystem impacts of AI and describing the technology as capable of generating "revolutionary level industry change."

Probability: Low near-term. Moderate over 5+ years.

5. Competition from Deep-Pocketed Tech Entrants

While current competitors are weakening, China's tech giants - ByteDance, Alibaba, Meituan - have the resources, user bases, and AI capabilities to enter online recruitment at scale. No major entrant has committed to this yet, but the economics are attractive enough to draw attention.

Probability: Low to moderate.

6. Margin Sustainability vs Growth Investment

Adjusted operating margins reached a record 43.3% in Q4 2025. The CEO stated in Q3 2025 that "our pursuit in better serve users in higher revenue growth actually has higher priority compared to our pursuit of profitability." If management reinvests aggressively into AI, lower-tier expansion, or user subsidies, margins could compress.

Probability: Moderate. Management has telegraphed the tradeoff clearly.

9. Walk the Talk

Concalls used:

• Q1 2025 (May 22, 2025)
• Q2 2025 (August 20, 2025)
• Q3 2025 (November 18, 2025)
• Q4 2025 / FY2025 (March 18, 2026)

This management team has been remarkably consistent across the four concalls reviewed. Guidance has been met or exceeded in every quarter. Commitments have been specific, measurable, and followed through.

In the Q1 2025 call (May 22, 2025), management guided Q2 revenue of RMB 2.05-2.08 billion and set a full-year target of RMB 3 billion in non-GAAP operating profit. They stated that tariff impacts were "quite limited" and that blue-collar revenue share would reach 39%. Q2 actual came in at RMB 2.10 billion - at the high end of guidance. Blue-collar revenue share hit exactly 39%. Full-year non-GAAP operating profit reached RMB 3.38 billion, exceeding the target by 13%.

In the Q2 2025 call (August 20, 2025), management guided Q3 revenue of RMB 2.13-2.16 billion and formally adopted the company's first annual dividend policy, promising an approximately $80 million distribution. Q3 revenue came in at RMB 2.16 billion - at the top of the range. The dividend was paid in October as scheduled.

In the Q3 2025 call (November 18, 2025), management guided Q4 revenue of RMB 2.05-2.07 billion (a seasonal step-down) and committed to acquiring at least 35 million new verified users in the coming year. The CEO explicitly stated that user growth and service quality would take priority over short-term profitability. Q4 revenue came in at RMB 2.08 billion, slightly above the high end. The company added 46 million newly verified users for the full year, exceeding the 35 million target by over 30%.

In the Q4 2025 call (March 18, 2026), management introduced the three-year capital return framework (50%+ of adjusted net income), upsized the buyback to $400 million, and guided Q1 2026 revenue of RMB 2.05-2.085 billion. They were transparent about the Chinese New Year timing impact and noted they expect revenue acceleration in subsequent quarters. By early May, the company has already deployed nearly RMB 700 million toward 2026 share repurchases, demonstrating follow-through.

There are no instances across these four calls of quietly dropped commitments, revised-down guidance, or promises made and never mentioned again. The guidance ranges have been tight (typically 2-3% spread), and actuals have consistently landed at or above the midpoint.

The one area where management deserves credit for honesty rather than optimism is AI. Rather than making aggressive claims about AI monetization timelines, the CEO has consistently used cautious language - "carefully exploring," "continuously observing," taking a "deliberate, cautious" approach.

Assessment: This is a management team that does what it says it will do, sets guidance it can hit, and under-promises on things it cannot yet control.

10. Shareholder Friendliness Index

Dividends

FY2023: Special one-time cash dividend of US$0.09 per Class A share (US$0.18 per ADS), totaling approximately US$79.2 million. This was Kanzhun's first-ever dividend distribution. (Source: 2024 Form 20-F)

FY2024: Annual dividend of US$0.084 per Class A share (US$0.168 per ADS), totaling approximately US$80 million. The company formally adopted an annual dividend policy in August 2025. (Source: Dividend announcement, August 20, 2025)

FY2025: Annual dividend of US$0.084 per Class A share (US$0.168 per ADS), totaling approximately US$77.9 million. (Source: 2025 Form 20-F, filed April 29, 2026)

Dividend amounts have been stable at roughly $80 million per year. Relative to 2025 adjusted net income of approximately RMB 3.6 billion (roughly US$500 million), the payout ratio is modest at approximately 15-16%. The new three-year framework (starting 2026) commits to returning at least 50% of adjusted net income through dividends AND buybacks combined.

Share Buybacks

2024: Completed the initial $200 million buyback program. Repurchased approximately 28.2 million shares (3% of total share capital) at a total cost of around US$229 million. (Source: Q4 2024 results announcement)

2025: Extended and upsized the buyback authorization to US$250 million through August 2026. (Source: August 2025 board resolution)

2026 (YTD through early May): Upsized to US$400 million through August 2027. Deployed nearly RMB 700 million (approximately US$95 million) year-to-date. (Source: March 18 and March 23, 2026 disclosures)

Net Share Count

800.6 million Class A shares and 130.4 million Class B shares outstanding as of December 31, 2025. Share-based compensation continues to create dilution, but buybacks have begun to offset this: Q4 2024 repurchases alone produced a 1.1% net decrease in outstanding shares. Management has guided that share-based compensation expenses will decline in both absolute value and as a percentage of revenue.

Three-Year Assessment

2023 was the first year Kanzhun returned capital. The trajectory is clearly accelerating: from a one-time special dividend, to a formal annual policy, to a three-year commitment of 50%+ of adjusted net income. The company has no debt, sits on RMB 19+ billion in cash, and generates over RMB 1 billion in operating cash flow per quarter. The shift from cash-hoarding to shareholder-friendly has been rapid and credible, backed by actual execution.

11. Scenarios

Bull Case

The Chinese labor market stabilizes through 2026-2027, and the structural shift toward online recruitment accelerates. Blue-collar adoption pushes past 45% of revenue as tens of millions of workers in manufacturing, logistics, and services discover that BOSS Zhipin is faster and cheaper than labor agencies. Lower-tier cities contribute a third of revenue as SME digitization deepens.

The AI closed-loop recruitment services - where BOSS Zhipin manages the entire hiring process, not just the introduction - become a meaningful revenue line. Large enterprises outsource high-volume hiring to Kanzhun's AI agents, creating a stickier, higher-ARPU relationship. Nanbeige's recruitment-specific training data gives Kanzhun an insurmountable AI advantage in its vertical, and conversion lift from AI tools increases willingness to pay.

The 50%+ capital return policy, combined with an expanding profit pool, turns Kanzhun into a capital return machine. Share count declines materially. International investors who avoided Chinese tech after the 2021 crackdowns gradually re-enter, rewarding clean execution and shareholder-friendly governance.

Base Case

Revenue growth moderates to high-single-digit or low-double-digit territory as China's macro environment remains mixed. Youth unemployment stays elevated, dampening employer demand, but the shift from offline to online recruitment continues. Blue-collar and SME segments grow faster than the overall platform, but not fast enough to offset a sluggish white-collar market.

AI products improve unit economics and user experience but do not yet transform the business model. Closed-loop services grow meaningfully but remain a single-digit percentage of total revenue. Margins stay near current levels as management reinvests efficiency gains into user acquisition and product development, consistent with the CEO's stated priority of growth over profitability.

Capital returns proceed as guided. The company remains debt-free, highly profitable, and well-positioned, but does not break out of the growth band it has settled into. A good business that executes well in a difficult macro environment.

Bear Case

China's economy enters a more pronounced slowdown, driven by trade war escalation, real estate contagion, or broader loss of business confidence. Hiring freezes spread from white-collar to blue-collar as export-oriented manufacturers cut production. Youth unemployment pushes back above 20%. The SMEs that Kanzhun has been acquiring as new customers - the most economically fragile segment - churn.

Regulatory risk resurfaces. A new CAC review, a change in VIE enforcement posture, or a data localization requirement imposes costs and disrupts operations. Alternatively, a tech giant (ByteDance, Alibaba) launches a competing product with heavy subsidies, eroding BOSS Zhipin's engagement advantage.

The AI bet cuts both ways: if general-purpose AI tools enable employers to source and screen candidates without a dedicated platform, the intermediary value of BOSS Zhipin diminishes. Revenue growth stalls, margins compress as the company spends to defend share, and the platform becomes a utility rather than a growth story. The capital return framework cushions the downside, but the investment narrative shifts from growth compounder to value trap.

Report compiled from Q1-Q4 2025 earnings call transcripts, 2025 Form 20-F (filed April 29, 2026), company IR disclosures, and independent industry research.

Sources:

• Kanzhun Q4 2025 Earnings Call Transcript - Motley Fool
• Kanzhun Q3 2025 Earnings Call Transcript - Motley Fool
• Kanzhun Q2 2025 Financial Results - IR
• Kanzhun Q1 2025 Earnings Call Transcript - Motley Fool
• Kanzhun 2025 Form 20-F - SEC
• Kanzhun Shareholder Return Announcement
• BOSS Zhipin - Wikipedia
• Kanzhun Deep Dive - Skeptivest
• BOSS Zhipin - Bloomberg Sponsored
• China Youth Unemployment - SCMP
• China Online Recruitment Market - Statista
• Kanzhun Investor Relations