Arm Stock Climbs 14% as HSBC Doubles Price Target to $205

HSBC Upgrade Propels Arm Stock Over 14% Higher

Shares of Arm Holdings (NASDAQ: ARM) climbed more than 14% this past week, propelled by a highly bullish analyst report from HSBC. On March 22, HSBC analyst Frank Lee upgraded Arm's stock to a 'buy' rating and more than doubled his price target to $205 per share. This revised target suggests a potential 55% upside for investors, signaling strong confidence in the chip designer's future performance.

AI Server Royalties Forecast to Hit $4 Billion by 2031

HSBC's core argument is that the market is underestimating the transformative impact of artificial intelligence on Arm's business. While the company has historically relied on the slow-growing smartphone market, its next major growth driver is projected to be AI-focused server processors. Lee highlights that while GPUs are critical for AI model training, Arm-based CPUs offer significant energy efficiency and cost advantages for AI inference workloads. Based on this shift, the analyst projects Arm's server CPU royalty revenue will surge by 76% annually over the next five years. This growth trajectory would place the segment's revenue at approximately $4 billion by fiscal 2031, a figure that matches Arm's entire revenue for fiscal 2025.

Analysts See 31.6% Upside Despite Headline Risks

The broader market sentiment for Arm Holdings remains positive, with a "Strong Buy" analyst consensus rating. The average price target across Wall Street stands at $164.50, representing a 31.6% upside from current levels, though HSBC's target is notably more aggressive. This optimism persists even as the company navigates an anti-corruption probe in Malaysia concerning a deal from March 2025. For now, analysts view this as a manageable headline risk that does not detract from the central investment thesis around AI. The narrative is further supported by technology collaborations, such as a partnership with Fujitsu on an Arm-based CPU, which reinforce the company's growing role in data center and edge AI infrastructure.