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- I Found a Unicorn: A Young Tech Company Returning Profits to Shareholders
I Found a Unicorn: A Young Tech Company Returning Profits to Shareholders
Most tech companies burn money for years, but this one flipped to real profits and started buybacks while still growing. That's a rare combo.

Today, I’m digging into Kanzhun (BZ)
Kanzhun runs BOSS Zhipin, the largest online hiring marketplace in China. Their US comparable company would be Indeed.
They've built a big business on the back of one feature that was a hit in the market: direct chat between job seekers and employers.
This is one of the more impressive financial statements I've seen in a tech business. Most tech companies are good at increasing their spending in lockstep with their revenue gains. That would be the opposite of a business that has operating leverage.
Kanzhun is a business with great operating leverage. It's operating margin in the financial table below to see this in action.
A few things stood out to me:
It comes to talking about competitive advantages. One of the factors that we look at is do they have a data advantage. They have a data advantage. Millions of chats create better matches, which attract more employers, which create more chats.
They are beginning to shift to dividends and buybacks. This almost never happens in a decade-old tech company, if it were in the United States.
They still get ~99% of revenue from one product. There's likely an opportunity to layer on some more monetizable features, like AI-powered recruiter co-pilots or premium labor-market data/analytics.
If you run any kind of marketplace, Kanzhun is a good example of how far a focused wedge (the direct chat feature) can take you. And also a reminder it's okay to take distributions, even if you're a tech company (they are doing it via share buybacks).
Full breakdown is inside.
The 30,000-Foot View
Kanzhun runs BOSS Zhipin, a mobile-first recruitment platform where candidates can directly message hiring managers. The company earns nearly all of its revenue from enterprise customers who pay for recruitment services and value-added tools. With strong gross margins, rising operating margins, and a large net-cash position, the business has become a highly profitable marketplace.
Key Stats
Market cap: $9.27B
TTM Revenue: $1.14B
TTM Gross margin: 84.5%
Employees: ~5,700
Industry: Online recruitment and HR tech
Company History
2014: Kanzhun founded, BOSS Zhipin launched with direct-chat hiring model.
2015–2019: Rapid user growth, millions of companies onboard.
2021: IPO on Nasdaq, followed by cybersecurity review that temporarily halted new-user onboarding.
2022: Review lifted, Hong Kong dual listing completed. Profitability returns.
2023: Revenue and profit surge, marketing efficiency improves post World-Cup blitz.
2024: Launch of proprietary LLM Nanbeige and adoption of DeepSeek. Major sports sponsorships. Large share-repurchase program.
Show Me the Money
Standout financial features:
Strong operating leverage as scale grows (look at their operating margin to see this in action).
Large and growing net-cash position with no debt.
Heavy investment in AI and R&D.
Marketing intensity moderating while revenue grows.
As profitability and their cash balance have grown, they've announced $350M in buybacks across two repurchase programs.
Financial Data
Metric | FY2022 | FY2023 | FY2024 | TTM (Sep 2025) |
|---|---|---|---|---|
Revenue | $0.64B | $0.85B | $1.05B | $1.14B |
Gross Profit | $0.53B | $0.69B | $0.87B | $0.96B |
Gross Margin | 83.3% | 82.2% | 83.1% | 84.5% |
Ops Profit | $-0.02B | $0.08B | $0.17B | $0.31B |
Ops Margin | -2.9% | 9.8% | 15.9% | 26.9% |
CapEx | $0.05B | $0.14B | $0.12B | ~$0.12B |
Net Debt | $-1.88B | $-1.83B | $-2.08B | $-2.73B |
The N.O.O.B. Nine — Competitive Powers
The Nerd Out on Business Nine is made up of Hamliton Helmer's famous "7 Powers" of competitive advantage (Scale Economies, Network Economies, Counter-Positioning, Switching Costs, Branding, Cornered Resource, and Process Power) combined with two of my own (Data Flywheel and Distribution Advantage).
Power | Score | Rationale |
|---|---|---|
Branding | 4/5 | Heavy sports sponsorships have elevated national brand status. |
Data Flywheel | 4/5 | Interaction data enriches matching and AI performance. |
Process Power | 3/5 | Improving cost discipline and repeatable sales processes. |
Scale Economies | 4/5 | Rising margins show operating leverage tied to product scale. |
Switching Costs | 2/5 | Multi-homing is common among job boards and seekers. |
Cornered Resource | 2/5 | Proprietary models and data matter but are not exclusive. |
Network Economies | 5/5 | Marketplace dynamics plus the largest MAU base in China. |
Counter-Positioning | 3/5 | Direct-chat hiring model stands out but can be copied. |
Distribution Advantage | 3/5 | Strong presence but dependent on paid traffic and platform rules. |
Average Score: 3.3/5 - A solid but not unbreakable moat, centered on scale, network effects, and data.
Memorable Marketing
Kanzhun uses mass-reach advertising, especially sports sponsorships, combined with digital retargeting and strong product positioning that emphasizes speed and direct access to hiring managers.
Key Campaigns
World Cup Blitz 2022
Massive national reach built durable brand awareness.
Drove long-tail growth even after ad pullback.
Olympics and Euro 2024 Branding
Dramatically increased spend during these two events reinforced national-scale brand perception without repeating 2022 overspend.
Talk to the Boss Positioning
Highlights differentiation from old-school job boards.
Blue-Collar City Push
Targets underserved markets that strengthen network effects.
Tactical Takeaways
Use short-run brand spikes, then normalize spend.
Anchor messaging on a single point of contrast.
Pair mass reach with direct-response retargeting.
Tailor product and marketing to niche segments.
Measure campaigns using ROI per incremental customer.
AI Uses & Opportunities
Current Uses
AI-driven matching and recommendations.
Proprietary LLM Nanbeige plus DeepSeek powering resume polishing, JD rewriting, and AI recruiting assistants.
AI-assisted sales tooling for market prioritization.
Future Opportunities
Outcome-based pricing models tied to AI quality scores.
AI recruiter co-pilots for screening and outreach.
Labor-market intelligence dashboards for B2B sales.
Personalized career-agent systems for job seekers.
Bumps in the Road
Heavy China regulatory risk, including past cybersecurity review.
Single-market exposure and nearly single-product revenue model.
High-stakes competition with incumbents and social platforms.
Marketing overspend risks if discipline slips.
Leadership turnover pressures capital-allocation discipline.
Your Swipe File
Build a focused wedge (their direct chat between job seekers and hiring managers feature) but diversify revenue sooner than Kanzhun did via additional monetizable features.
Use brand-spike campaigns sparingly to set long-term lift if you model is already working.
Use AI to improve customer outcomes, not just reduce internal costs.
It's OK for relatively young companies to pay dividends to shareholders and buy back stock. Very few tech businesses do this in their first decade or two of their life.