MetaX 1Q26 meets guidance; GPU volume ramp and AI model adaptation support a buy rating
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MetaX 1Q26 meets guidance; GPU volume ramp and AI model adaptation support a buy rating
Goldman Sachs maintained a Buy rating on MetaX and raised the 12-month target price to Rmb912, arguing that ramping of C500/C550, progress on C600 validation, and rising AI training and inference demand will support long-term growth.
- 1Q26 revenue grew 75% year-over-year to Rmb562m, while net loss narrowed to Rmb99m, and overall results were in line with company guidance.
- Gross margin was 60.1%, above Goldman Sachs’ 55.5% forecast, mainly supported by a scale-up in GPU products.
- The GPU platform has been adapted to multiple AI models, including Baidu ERNIE-Image, BABA QWen3.6-35B-A3B, SenseNova U1, and Xiaomi Mimo-V2.5-Pro.
- Goldman Sachs raised the 12-month target price from Rmb804 to Rmb912, using a 2030E discounted EV/EBITDA valuation.
Report interpretation
Overview
This report is Goldman Sachs’ commentary on MetaX’s results. MetaX 1Q26 revenue and net loss were in line with guidance, with revenue up 75% year-over-year to Rmb562m and net loss narrowing from Rmb233m in 1Q25 to Rmb99m. Goldman Sachs believes that the ramp of C500/C550 GPU products, customer validation of the next-generation C600 platform, and adaptation to multiple AI models are the core drivers of the company’s future growth.
Core views
Goldman Sachs maintained a Buy rating, with the core view that MetaX, as a domestic GPU leader, has strengths in general-purpose GPU cards, full-stack solutions, proprietary architecture, and GPU IP. In the near term, 1Q26 revenue, loss, and gross margin performance validate product scaling; in the medium-to-long term, AI agents and AI applications are expected to push up training and inference spending, which will lift next-generation GPU platform revenue.
Analysis framework
The report analyzes quarterly performance, revisions to earnings forecasts, product ramp progress, AI model adaptation status, and discounted EV/EBITDA valuation. Goldman Sachs cut 2026E earnings by 41%, but raised 2028E to 2030E earnings by 3%, 4%, and 3%, mainly reflecting an upward revision to next-generation GPU platform revenue expectations.
Methodology notes
Multiply 2030E EBITDA by the target EV/EBITDA multiple and discount it to 2027E to capture long-term growth value.
Goldman Sachs used a target EV/EBITDA multiple of 68x, a 12.7% cost of equity, 1.5 beta, 3.0% risk-free rate, and 6.5% equity risk premium to derive a 12-month target price of Rmb912.
Compares a stock’s characteristics versus the market and industry peers across growth, financial returns, valuation multiples, and composite factors.
Growth is based on forward revenue, EBITDA, and EPS growth; financial returns are based on ROE, ROCE, and CROCI; valuation multiples are based on P/E, P/B, EV/EBITDA, and similar metrics.
Goldman uses a 1-to-3 scale to assess the likelihood of a company becoming an acquisition target.
MetaX disclosed an M&A rank of 3, indicating a lower probability of being an acquisition target, which is typically not reflected in the target price.
Goldman’s proprietary database for sourcing historical financials, forecasts, and ratios.
It can be used for in-depth single-company analysis as well as cross-industry and cross-market comparisons.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- MetaX 688802.SSCore covered name
- Strengths
- A domestic GPU leader with general-purpose GPU cards, full-stack solutions, proprietary architecture, and GPU IP; C500/C550 are ramping, and the C600 platform has entered customer validation with multiple clients; the GPU platform has been adapted to multiple mainstream AI models.
- Weaknesses
- The company remains in a profit ramp-up phase, with net loss in 1Q26; R&D spending and operating expenses are still high.
- Comparison
- Goldman Sachs derived target multiples using peer-average transaction EV/EBITDA, forward EBITDA growth, and EBITDA margin; MetaX is benchmarked within the Greater China Technology coverage framework.
- Risks
- Lower-than-expected growth in Chinese cloud capital expenditure, stronger-than-expected competition in AI chips, and constraints in advanced-node supply chains.
Key data
- 1Q26 revenueRmb562mUp 75% year-over-year and up 38% quarter-over-quarter, in line with guidance.
- 1Q26 net lossRmb99mNarrowed materially from Rmb233m net loss in 1Q25 and was within the company’s net loss guidance range.
- 1Q26 gross margin60.1%Above Goldman Sachs’ 55.5% expectation, supported by scale-up in GPU products.
- 12-month target priceRmb912Previously Rmb804, based on the 2030E discounted EV/EBITDA method.
- Current priceRmb784.00The chart notes the close on 2026-05-08.
- Target EV/EBITDA multiple68xPreviously 62x, applied to 2030E EBITDA.
- Cost of equity12.7%Assumptions include beta 1.5, risk-free rate 3.0%, and market risk premium 6.5%.
- 2026E revenue estimateRmb4,415mForecast table shows 2026E revenue up 169% year-over-year.
- 2028E revenue estimateRmb21,173mForecast table shows 2028E revenue up 104% year-over-year.
Impact & implications
The implication is broadly constructive: MetaX’s GPU ramp and progress in AI model adaptation strengthen the domestic AI chip growth thesis, 1Q26 results meeting expectations reduce near-term execution risk, and the target price increase reflects Goldman Sachs’ higher confidence in next-generation GPU platforms and long-term revenue growth. However, valuation still relies on high long-term growth and elevated multiples, and supply chain, cloud capex, and competitive dynamics remain key constraints.
Risks
- Chinese cloud capital expenditure growth is slower than expected.
- AI chip competition is more intense than expected.
- Advanced-node supply-chain constraints.
- The company is still transitioning from losses to profitability, and the realization of long-term profits remains uncertain.
- The target price is sensitive to assumptions on 2030E EBITDA, the 68x valuation multiple, and discounting.
What to watch
- Progress of C600 platform customer validation and the ramp-up pace starting in 2026.
- Shipment growth and gross margin sustainability of C500/C550 GPU products.
- Growth in training and inference demand from AI agents and AI applications.
- Changes in Chinese cloud vendors’ capital expenditures.
- Availability of advanced-node supply chains.
- Execution of 2026E to 2030E forecasts for revenue, EBITDA, and net profit.