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Nvidia Partner Hon Hai Increases Quarterly Revenue 29.7% Amid AI Server Demand

Hon Hai, known as Foxconn and one of Nvidia's key partners, reported quarterly revenue growth of 29.7% — reaching TWD 2.13 trillion. March marked a record…

AI-processed from Bloomberg Tech; edited by Hamidun News
Nvidia Partner Hon Hai Increases Quarterly Revenue 29.7% Amid AI Server Demand
Source: Bloomberg Tech. Collage: Hamidun News.
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Hon Hai's Q1 revenue growth shows that the AI investment cycle remains stronger than geopolitical noise. The Taiwanese manufacturer, better known under the Foxconn brand and working with Nvidia, reported first-quarter revenue of 2.13 trillion Taiwan dollars — 29.

7% higher than a year earlier. For the market, this is an important signal: major AI infrastructure customers continue to purchase servers and racks despite a new wave of instability in the Middle East. The company published its operational update on April 5, 2026, in the format of unaudited revenue.

By month, the quarter looked like this: January brought 730.0 billion Taiwan dollars, February — 595.8 billion, March — 803.

7 billion. March became the record month, adding 45.6% year-over-year.

Total revenue for January—March came to 2.1296 trillion Taiwan dollars, or approximately 66.5 billion U.

S. dollars. This almost matched analyst expectations, which, according to Bloomberg, averaged 2.

14 trillion. Formally, there was no upside surprise, but more important is the fact itself: demand did not decline, despite market nervousness and concerns about logistics. Why are these figures watched so closely?

Hon Hai is no longer just an assembler of consumer electronics. The company remains the world's largest contract electronics manufacturer, and in the AI supply chain, it plays the role of an industrial hub: from components and modules to server assembly and rack assembly for data centers. This is why its quarterly revenue is not an abstract indicator of sentiment, but rather a fairly direct reflection of how quickly customers are actually deploying computing infrastructure.

If such companies continue to grow at nearly 30%, it means AI budgets have stopped being an experiment and are increasingly turning into basic capital expenditure for major cloud players. Context also supports this version. On March 16, when publishing annual results for 2025, Foxconn reported revenue of 8.

1 trillion Taiwan dollars, up 18% year-over-year, with net profit reaching 189.4 billion. Most telling is the shift in business structure.

The cloud and networking segment, which includes AI servers, became the largest category for the year for the first time and captured 40% of revenue, surpassing smart consumer electronics with a 38% share. The company's chairman Yang Liu then explicitly said that the AI server sector should show strong growth in 2026, and AI rack shipments should accelerate. And quarterly sales for January—March look like a confirmation of this shift, not a one-off spike.

At the same time, management is not pretending that external risks don't exist. In the quarterly revenue report, the company separately warned of a "volatile" global political situation. Earlier in March, Yang Liu called the main external challenge of 2026 the overall political and economic situation, especially the war in the Middle East, although he noted that direct impact on the business so far remains limited.

This caveat is important: Foxconn has an enormous production and transportation network, and any new disruption in routes, insurance, or component supplies quickly becomes a matter of timelines and margins. But first-quarter figures show that at this stage, customers are not putting AI projects on pause. On the contrary, demand for infrastructure sustained the pace of growth and brought March to an all-time high.

What does this mean? For the entire AI market, Hon Hai's report is one of the most visible hardware signals that the boom is not sustained only by model presentations and big tech announcements. When a manufacturer standing at the center of Nvidia's server chain and major cloud customers nearly increases quarterly revenue by a third and sets a monthly record, it means money continues to turn into hardware.

The main question now is no longer whether companies are ready to spend on AI, but how fast the global supply chain can digest this demand without serious geopolitical disruptions.

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