Zhipu AI / Knowledge Atlas
Sovereign enterprise and government deployment demand is the monetization wedge. GLM should be analyzed less like a consumer app and more like private-cloud AI infrastructure. Update, H1 2026 interim results: that wedge is being abandoned in front of us. Revenue grew 399.7% while consolidated gross margin halved from 50.0% to 26.4%, because the growth came from cloud API at 24.6% margin and the private-deployment business actually shrank 20.5%. R&D ran at roughly 8.5x gross profit. Zhipu is the only listed pure-play frontier-model lab, so this is the one place the model-layer P&L is audited rather than briefed - and what it shows is a lab growing by selling more of a thinner thing, with research spend, not compute, as the line gross profit cannot cover.
Financial metrics
| Metric | Period | Value | Source | Confidence |
|---|---|---|---|---|
| revenue | FY2025 | 724 RMB_millions | reported | medium |
| revenue_growth_yoy | FY2025 | 132 percent | reported | medium |
| on_prem_revenue_mix | FY2025 | 74 percent | reported | medium |
| gross_margin | H1 2026 | 26.4 percent | reported | high |
| cloud_gross_margin | H1 2026 | 24.6 percent | reported | high |
| gross_profit | H1 2026 | 252 RMB_millions | reported | high |
| operating_loss | H1 2026 | 2147 RMB_millions | reported | high |
| net_loss | H1 2026 | 2070 RMB_millions | reported | high |
| rnd_expense | H1 2026 | 2131 RMB_millions | reported | high |
| cost_of_sales | H1 2026 | 702 RMB_millions | reported | high |
| employees | H1 2026 | 981 headcount | reported | high |
| enterprise_agent_revenue | H1 2026 | 55.56 RMB_millions | reported | high |
| on_prem_revenue_mix | H1 2026 | 13.5 percent | reported | high |
Revenue mix
Risks
- - valuation multiple
- - cash burn
- - domestic chip constraints
- - government/customer concentration