Stock Markets July 14, 2026 06:29 AM

Macquarie Raises Zhipu AI Revenue Targets Citing Strength in Code Generation

Bank boosts ARR forecasts as Zhipu’s GLM 5-2 model accelerates adoption; equity placements fund compute expansion

By Sofia Navarro
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Macquarie has increased its annual recurring revenue (ARR) forecasts for Zhipu AI to $2 billion for 2026 and $4.5 billion for 2027, pointing to the company’s competitive lead in code generation through its GLM 5-2 model. Zhipu surpassed $1 billion in ARR in July, ahead of its full-year goal. Both Zhipu and rival Minimax completed post-lock-up equity placements to fund compute infrastructure needs as demand grows.

Macquarie Raises Zhipu AI Revenue Targets Citing Strength in Code Generation
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Key Points

  • Macquarie raised Zhipu AI ARR targets to $2.0 billion for 2026 and $4.5 billion for 2027, citing code generation strength driven by GLM 5-2.
  • Zhipu surpassed $1.0 billion in ARR in July, ahead of its full-year target; Zhipu stock is up 1,316% year-to-date while competitor Minimax is up 35% and the Hang Seng Index is down 6% over the same period.
  • Both Zhipu and Minimax completed equity placements after their initial post-IPO lock-up expirations to fund compute infrastructure needs; Minimax grew ARR from $100 million in December 2025 to $400 million in April 2026 and is on track for $1.0 billion ARR by year-end.

Macquarie has revised upward its ARR projections for Zhipu AI, setting targets of $2.0 billion for 2026 and $4.5 billion for 2027, driven by what the bank describes as Zhipu’s leading position in code generation capabilities. The firm highlighted the role of Zhipu’s GLM 5-2 model in broadening customer adoption and shortening development cycles.

According to Macquarie, Zhipu’s ARR crossed the $1.0 billion mark in July, reaching that milestone ahead of the company’s full-year target. The investment bank points to the GLM 5-2 model as a principal factor behind faster uptake and more rapid iteration among users.

Market moves have been sharp year-to-date. Zhipu’s share price has climbed 1,316% over the period, while competitor Minimax recorded a 35% increase. By contrast, the Hang Seng Index declined 6% in the same timeframe.

Both Zhipu and Minimax completed new equity placements following the expiration of their initial post-IPO lock-up periods on July 8 and July 9, respectively. Macquarie said those capital raises are intended to address near-term funding requirements for compute infrastructure investments necessary to support rising usage of their models.

Minimax’s ARR trajectory was also highlighted. The company grew ARR from $100 million in December 2025 to $400 million in April 2026, and Macquarie says Minimax remains on track to reach $1.0 billion in ARR by year-end. That pace represents a tenfold expansion over a 12-month span.

On the product and strategy side, Zhipu AI founder Dr. Tang presented a "Touch-High Plan" on Friday. The plan concentrates on long-horizon reasoning, autonomous agents, self-training architectures, and AI safety governance as priority areas for development.

Given the competitive dynamics in China’s AI model sector, Macquarie recommended investors consider a basket approach to maintain exposure while managing company-specific risk as competition evolves.


Sectors impacted include cloud and data-center operators and providers of compute infrastructure, along with capital markets activity connected to AI-focused technology issuers.

Risks

  • Near-term capital demand for compute infrastructure could strain balance sheets if usage growth slows - impacts data-center and cloud infrastructure providers.
  • Competitive pressure in China’s AI model sector may increase execution risk for individual companies, which affects investor returns in technology and AI-focused equities.
  • Rapid valuation moves and concentrated stock performance introduce market risk for investors exposed to single names rather than diversified baskets - impacts capital markets and technology equity investors.

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