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AVGO vs. CSCO: Which AI Infrastructure Stock is a Buy Right Now?
ZACKSยท 2025-10-28 17:40
Core Insights - Broadcom (AVGO) and Cisco Systems (CSCO) are experiencing strong demand due to the growth of AI infrastructure, data center expansions, and increasing cybersecurity threats [1][2][3] - Both companies are well-positioned to benefit from projected AI spending, which is expected to reach $1.48 trillion in 2025 and $2.02 trillion in 2026, compared to $987 billion in 2024 [3] Company Performance - Broadcom's AI revenues are projected to increase by 66% year-over-year to $6.2 billion in Q4 fiscal 2025, driven by demand for XPUs and Ethernet products [7][8] - Cisco's AI infrastructure orders reached $2 billion in fiscal 2025, doubling previous expectations, indicating strong market demand [11][12] Product and Technology Developments - Broadcom's XPUs, which are essential for training Generative AI models, accounted for 65% of its AI revenues in Q3 fiscal 2025, with a consolidated backlog of $110 billion [7][10] - Cisco is expanding its AI portfolio with new solutions such as the Unified Nexus Dashboard and 400G bidirectional optics, enhancing its data center capabilities [11][12] Strategic Partnerships - Cisco's partnership with NVIDIA aims to create AI-ready data center networks, integrating Cisco Nexus switches with NVIDIA's Spectrum-X architecture for improved performance [12][13] Earnings Estimates - The Zacks Consensus Estimate for Broadcom's fiscal 2025 earnings is $6.72 per share, reflecting a 38% increase over fiscal 2024 [14] - Cisco's fiscal 2026 earnings estimate has increased to $4.04 per share, suggesting a 6% growth over fiscal 2025 [15] Valuation Insights - Both companies are considered overvalued, with Broadcom trading at a forward price/sales ratio of 20.18X, significantly higher than Cisco's 4.69X [17] Future Outlook - Cisco's aggressive AI initiatives and expanding portfolio are expected to drive top-line growth, while Broadcom's partnerships and AI portfolio expansion are key catalysts for future performance [20]