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BNP Paribas Raises Amphenol Target to $110, Cites AI Demand

By AlphaScala Research DeskSource reporting: gurufocus.comEditorial standards2 views
BNP Paribas Raises Amphenol Target to $110, Cites AI Demand

BNP Paribas lifted its APH target to $110, citing AI interconnects. The stock trades at a 35% discount to that target. Alpha Score: 59 (Moderate).

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BNP Paribas raised its price target on Amphenol Corp (NYSE: APH) to $110 from $107.50 on Sept. 22, maintaining an Outperform rating after discussions with management. The bank said Amphenol's position in the interconnect market, particularly for AI infrastructure and data centers, is driving pricing power and margin expansion.

The updated target reflects earnings forecast revisions that BNP Paribas did not disclose numerically. The stock closed at $81.73 before the call, implying roughly 35% upside to the new target based on Friday's level.

Amphenol's Alpha Score of 59 out of 100 carries a Moderate label, indicating a balanced risk-reward profile relative to sector peers. The company operates a decentralized manufacturing model across IT, automotive, aerospace, and industrial end markets, with acquisitions adding scale in high-growth segments like fiber optic and sensor systems.

BNP Paribas said the bullish case hinges on sustained AI capex cycles and data-center buildout, both of which increase demand for high-speed interconnects and custom cable assemblies. The bank did not flag any change to its view on near-term headwinds from inventory normalization or end-market cyclicality.

Insiders have been net sellers over the past 12 months, offloading $511.9 million in stock versus $1.3 million in purchases, according to filings, a fact Amphenol has not commented on. The selling does not contradict the analyst's favorable long-term outlook, but it introduces a signal that some investors weigh alongside the raised target.

The next scheduled catalyst for APH is its third-quarter earnings report, expected in late October, when management will provide updated revenue and margin guidance against the AI demand backdrop.

How this story was producedLast reviewed Sep 22, 2026

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