China's June trade exceeded expectations, with the tech supply chain still the main engine and non-tech exports beginning to catch up

Overview

This report comments on China's June trade data. The core conclusion is that trade growth exceeded market expectations, with technology categories remaining the primary driver while the breadth of non-technology exports improved further. Some of the strong performance may also reflect compensatory demand following earlier shipping and energy supply bottlenecks.

Core views

First, the global AI and technology cycle continues to pull China's trade higher, with semiconductors and computers contributing significantly to export and import growth. Second, non-tech exports improved markedly, with strong performance in categories such as autos, labor-intensive consumer goods, refined oil, and aluminum. Third, import-side improvement was more concentrated in commodities, but the structure was uneven, with coal and iron ore stronger than crude oil. Fourth, in the coming months, structural technology demand should continue to support trade growth, but tensions in the Strait of Hormuz may bring downside shocks.

Analysis framework

The report uses a monthly trade data decomposition approach, comparing year-on-year growth, seasonally adjusted month-on-month changes, and category contributions, and assesses the breadth and sustainability of trade growth from dimensions including export destinations, technology versus non-technology categories, and the volume-price structure of commodity imports.

Methodology notes

• Macro Trade AnalysisCombination of Year-on-Year and Seasonally Adjusted Month-on-Month

  Observe both YoY and MoM SA simultaneously

  Year-on-year is used to judge the strength of trade growth relative to the same period last year, while seasonally adjusted month-on-month is used to observe short-term momentum. Combining the two helps distinguish trend improvement from short-term compensatory demand.

• Growth Contribution DecompositionCategory Contribution Analysis

  Percentage-point contribution of semiconductors and computers to total export and total import growth

  By calculating the contribution of key categories to overall growth, the report concludes that the technology supply chain remains the main source of overall trade growth.

• Commodity Import AnalysisVolume-price decomposition

  Distinguish whether changes in import value are driven by volume or price

  The strength in coal and iron ore imports was mainly driven by volume; crude oil prices were relatively stable but import value declined, pointing to continued weakness in import volumes.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• China Macroeconomy

  Directly related

  Strengths

  Trade growth exceeded expectations, with technology demand and the breadth of non-tech exports jointly supporting external demand.

  Weaknesses

  Some of the strong performance may reflect compensatory demand, and its sustainability remains to be seen.

  Comparison

  Compared with May, non-tech export growth improved significantly, and export destination improvement was also broader.

  Risks

  Geopolitical conflict, shipping bottlenecks, and energy supply disruptions may weaken subsequent momentum.

• Technology Hardware and Semiconductor Supply Chain

  Core driver

  Strengths

  Semiconductors and computers contributed significantly to export and import growth, and structural technology demand remains strong.

  Weaknesses

  Growth is highly dependent on the global AI cycle; if external technology demand slows, contributions will be affected.

  Comparison

  Its contribution to import growth increased further in June compared with May.

  Risks

  Global technology cycle volatility, trade frictions, and supply chain restrictions.

• Auto Export Supply Chain

  Beneficiary category

  Strengths

  Auto exports rose 12% seasonally adjusted month-on-month and 70% year-on-year, accelerating markedly from May.

  Weaknesses

  The high year-on-year growth may include low-base or compensatory shipment effects.

  Comparison

  Year-on-year growth rose from 39% in May to 70% in June.

  Risks

  Weaker overseas demand, trade barriers, and disruptions in shipping capacity and tariffs.

• Commodities and Energy

  Related to both imports and exports

  Strengths

  Import volumes of coal and iron ore strengthened, while exports of refined oil and aluminum were strong.

  Weaknesses

  The decline in crude oil import value shows an uneven energy import structure.

  Comparison

  Coal and iron ore were stronger than crude oil; import improvement was more commodity-driven but uneven.

  Risks

  Tensions in the Strait of Hormuz, insufficient inventory buffers, and price and transportation shocks.

Key data

• June Export Growth27%Semiconductors and computers contributed 9.4 percentage points.
• June Import Growth36%Semiconductors and computers contributed 17.4 percentage points, higher than 14.3 percentage points in May.
• Year-on-Year Growth in Non-Tech Exports19.8%Higher than 11.2% in May, driven by autos and labor-intensive consumer goods.
• Auto ExportsSeasonally adjusted MoM +12%, YoY +70%Year-on-year growth rose from 39% in May to 70%.
• Labor-intensive Consumer Goods ExportsSeasonally adjusted MoM +4.2%Showing improved breadth in non-tech exports.
• Refined Oil ExportsSeasonally adjusted MoM +9%Had already grown 13% in May.
• Aluminum ExportsSeasonally adjusted MoM +17%Had already grown 25% cumulatively from January to May.
• Coal ImportsSeasonally adjusted MoM +17%Had grown 33% in May, possibly partly reflecting tight supply after domestic coal safety inspections.
• Iron Ore ImportsSeasonally adjusted MoM +7%The sequential improvement was driven more by volume than by price.
• Crude Oil Import ValueSeasonally adjusted MoM -16%Against the backdrop of broadly stable month-on-month crude oil import prices, this points to continued weak import volumes.

Impact & implications

For investment research, the report reinforces the view that China's trade resilience mainly comes from the technology supply chain and the AI cycle, while also indicating that export improvement is spreading from technology categories to autos, consumer goods, and some upstream categories. The divergence in commodity imports suggests that domestic demand and the energy chain remain uneven; if geopolitical conflict affects shipping and energy supply, it could create temporary pressure on global trade and China's external demand.

Risks

• Tensions in the Strait of Hormuz may disrupt shipping, production, and global trade.
• When inventory buffers are thin, even moderate shocks may have disproportionate effects.
• Some trade strength may stem from compensatory demand after earlier bottlenecks, and subsequent month-on-month momentum may slow.
• Persistently weak crude oil import volumes show that the import structure remains uneven.
• If global AI and technology demand cools, the core support for trade growth will weaken.

What to watch

• Whether semiconductors and computers maintain high contributions to export and import growth in the coming months.
• Whether year-on-year and seasonally adjusted month-on-month growth in non-tech exports continues to spread to more categories and destinations.
• Whether the high growth in auto exports is sustainable.
• Changes in volume and price of coal, iron ore, and crude oil imports.
• The impact of the Strait of Hormuz situation on shipping costs, energy supply, and global trade.