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

  1. Use short-run brand spikes, then normalize spend.

  2. Anchor messaging on a single point of contrast.

  3. Pair mass reach with direct-response retargeting.

  4. Tailor product and marketing to niche segments.

  5. 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.