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TE Connectivity Beats Estimates, Sees AI Data Center Demand Driving Orders Up 70%

TE Connectivity Beats Estimates, Sees AI Data Center Demand Driving Orders Up 70%
Earnings · 2026
Photo · Marcus Devlin for Daily Digest Invest
By Marcus Devlin Equities Correspondent Jul 22, 2026 3 min read

TE Connectivity, a US industrial manufacturer that makes connectors and sensors for servers, networking gear, and power systems, reported quarterly results that topped analyst estimates and issued guidance above Wall Street forecasts. The company credited surging demand from artificial intelligence data centers for the strong performance.

CEO Terrence Curtin told Reuters that orders have risen 70% this year, building a stronger backlog heading into next year. Quarterly orders climbed by more than $1 billion from a year ago to $5.7 billion, reflecting the rapid expansion of AI infrastructure.

What TE Connectivity Does

TE Connectivity is a key supplier to the technology and industrial sectors. Its connectors and sensors are essential components inside the servers, networking equipment, and power systems that run data centers. As companies like chipmakers ramp up production of AI processors, demand for the components that connect them is also rising.

The company's products are also used in automotive, aerospace, and industrial applications, but the AI data center segment has become a major growth driver. The broader trend of chipmakers rebounding and tech stocks rallying has been partly fueled by optimism around AI spending.

Cost Pressures and Pricing Power

TE Connectivity is also dealing with higher input costs. Curtin said the company will continue passing along higher resin costs through price hikes. Resin is a key raw material for many of TE's plastic components, and its price has been volatile due to supply chain disruptions and rising energy costs.

The ability to raise prices without losing customers is a sign of pricing power, which is important for investors to watch. Companies that can pass on cost increases tend to protect their profit margins better than those that cannot. TE's guidance above forecasts suggests that its pricing strategy is working so far.

What It Means for Investors

For everyday investors, TE Connectivity's results offer a window into the health of the AI infrastructure buildout. While much of the attention around AI has focused on chipmakers like Nvidia, the companies that supply the physical components for data centers are also benefiting. TE's strong orders and guidance indicate that demand is not just hype but translating into real revenue.

Investors should also note the company's pricing power. In an environment where inflation and input costs remain elevated, companies that can raise prices without hurting demand are better positioned. TE's ability to pass along resin costs suggests it has some insulation from commodity price swings.

However, the broader market context matters. European stocks rebounded recently as chipmakers led gains, and oil prices have been volatile due to geopolitical risks. If energy costs continue to rise, that could put pressure on resin prices and other inputs, potentially squeezing margins even for companies with pricing power.

Looking Ahead

TE Connectivity's strong backlog heading into next year suggests that the AI data center boom is not a short-term phenomenon. As more companies invest in AI capabilities, demand for the underlying infrastructure is likely to persist. Investors will be watching for updates on order trends and any signs of slowdown in capital spending by major tech companies.

The company's guidance above forecasts is a positive signal, but it is not a guarantee. Economic conditions, supply chain disruptions, or shifts in AI investment priorities could change the outlook. For now, TE Connectivity appears well-positioned to ride the AI wave, and its ability to manage costs through price hikes adds a layer of resilience.

As always, investors should consider their own financial goals and risk tolerance before making any decisions. TE Connectivity's results are one data point in a complex market, but they underscore the growing importance of AI infrastructure in the industrial sector.

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