Broadcom shares drop despite slightly higher Q3 revenue forecast

Shares of Broadcom fell nearly 4% in premarket trading on June 6, after the company’s third-quarter revenue forecast did not meet investors’ expectations.

Broadcom projected third-quarter revenue of about US$15.80 billion, slightly above analysts’ average estimate of US$15.71 billion.

However, high expectations may have influenced the negative market reaction.

Broadcom is a major supplier of semiconductors to Apple and Samsung and plays a crucial role in AI data centers by providing advanced networking components for generative AI technology.

The company also designs custom AI processors for cloud providers, competing with Nvidia’s off-the-shelf chips.

Despite growth in AI, Broadcom faces challenges due to US export restrictions on advanced technology to China.

🔗 Source: Reuters

🧠 Food for thought

1️⃣ The “AI premium” creates increasingly difficult investor expectations

Broadcom’s case illustrates how AI-focused chip companies face heightened market expectations that become progressively harder to meet despite strong performance.

Despite forecasting third-quarter revenue of $15.80 billion, exceeding analysts’ average estimate of $15.71 billion, Broadcom’s shares still fell nearly 4% as investors expected even more impressive figures 1.

This phenomenon follows Broadcom’s dramatic 85.47% stock price increase over the past 12 months, creating elevated expectations that even strong forecasts struggle to satisfy 2.

The company’s projected AI revenue growth is substantial, expected to reach $8-9 billion in FY2024, with 77% growth in AI sales to $4.1 billion already reported in Q1 2025. Yet, investors continue to demand even more aggressive growth 3.

Broadcom’s forward price-to-earnings ratio of 35.36 (compared to Marvell’s 20.63) reflects this AI premium, suggesting investors have already priced in extraordinary growth that becomes increasingly difficult to exceed 4.

2️⃣ The AI chip market is fragmenting into specialized domains

The semiconductor industry is evolving from Nvidia’s early dominance into a more specialized ecosystem where companies focus on different aspects of the AI infrastructure stack.