Mind the gap! What next for Broadcom?

Broadcom (AVGO) has been a major beneficiary of the AI boom, with its stock soaring 53% since the beginning of 2024 and more than doubling year-to-date. While not reaching the astronomical heights of NVIDIA (NVDA), Broadcom's performance remains remarkable.

The company's Q2 revenue report was a resounding success, showing a 43% year-over-year increase, while EBITDA grew 31% year-over-year. This strong performance prompted Broadcom to announce a 10:1 stock split on July 15th, a move that will make the stock more accessible to smaller retail investors.

The sustainability of this growth in the rapidly evolving AI landscape remains a key question for any AI-related company. However, Broadcom's forward P/E ratio of 35 appears relatively modest compared to its AI peers like NVIDIA (50), CrowdStrike (95), and AMD (46). This suggests that Broadcom may still have room for further valuation expansion.

Following the impressive earnings report, the stock surged 12% on June 13th and continued to trade higher in after-/pre-market activity. The technical picture is also positive, with the price comfortably above its short, mid, and long-term moving averages, indicating strong momentum. The recent surge in volume, reflected in the Volume Oscillator, further underscores the heightened interest in the stock.

While the Relative Strength Index (RSI) is currently in overbought territory at 79.23, this is not unusual following a major earnings announcement. Importantly, the RSI's moving average has been trending upwards since early May, suggesting that the bullish momentum behind AVGO may not be exhausted yet.

Furthermore, the overall market sentiment towards AI remains positive, which could continue to support Broadcom's growth trajectory. Yet it remains important to monitor Broadcom's competitive position in the Semiconductor Solutions & Infrastructure Software market, as the landscape is constantly evolving.

Risk Management: Despite the positive outlook, investors should be mindful of potential risks, such as a slowdown in AI adoption or increased competition, and employ appropriate risk management strategies.
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