Applied Materials vs. Broadcom: Comparing Sales Growth Trajectories for These Artificial Intelligence Companies

Broadcom reported record fiscal Q3 2026 revenue of $29.6 billion, up 86% year over year, driven by $16.7 billion in AI semiconductor revenue that surged 221%; its operating margin was 54%. Applied Materials posted record fiscal Q3 revenue of $9.1 billion, up 25% year over year, and a 34% operating margin as its growth rebounded following uneven 2025 sales affected by U.S. semiconductor-export restrictions on China. Broadcom's revenue has risen sequentially for eight quarters and its substantially faster AI-led growth has widened the sales gap versus Applied Materials.

Analysis

The comparison is economically misleading: AVGO’s reported scale includes software and connectivity businesses, while AMAT is a wafer-fab-equipment cycle proxy. AVGO’s AI revenue mix is increasingly concentrated in a small number of hyperscale custom-silicon programs; this supports near-term operating leverage but creates a sharper downside if one customer pauses capex or internal ASIC roadmaps slip. The relevant valuation question is not aggregate revenue growth, but whether AVGO can sustain AI mix growth while absorbing VMware-related customer and regulatory friction.

AMAT’s setup is more cyclical but potentially cleaner over a 6-18 month horizon. Its recovery requires leading-edge logic/foundry investment, memory spending normalization, and China sales holding above a more restrictive export-control floor; incremental revenue should carry high contribution margins given its service installed base. A narrowing growth gap could therefore drive AMAT multiple expansion even without matching AVGO’s absolute growth rate, particularly if AI infrastructure spending broadens from networking and custom compute into wafer capacity.

Near term, AVGO remains vulnerable to an elevated expectations reset: an AI revenue beat without a higher forward customer-capex outlook may not justify further multiple expansion. The contrarian opportunity is that AMAT has greater sensitivity to a broad semiconductor-capex upcycle, while AVGO increasingly prices a concentrated AI buildout continuing uninterrupted. Watch hyperscaler capex guidance, AMAT China exposure and order trends, and any European remedy affecting VMware channel economics as the principal 1-3 month catalysts.

Key Decisions for Investors

• Maintain a tactical long AVGO position only through the next earnings catalyst, preferably hedged with defined-risk downside puts; take profits if AI guidance fails to rise sequentially or if VMware-related churn begins affecting infrastructure-software guidance. Risk/reward is unfavorable for an unhedged 6-12 month position at a premium AI multiple.
• Initiate a 6-12 month pair trade: long AMAT / short AVGO in equal dollar beta-adjusted amounts after confirming AMAT order growth and stable China exposure. Thesis is mean reversion in growth expectations and relative multiple support; exit if AMAT guides to renewed order deterioration or AVGO raises AI revenue outlook materially above consensus.
• Use SMH as a liquid sector hedge against an AMAT-specific position rather than assuming NVDA exposure offsets equipment-cycle risk. A hyperscaler capex cut would pressure both AVGO and semiconductor sentiment, but AMAT’s key falsifier is a delayed foundry/memory tool-spending recovery.
• Set an alert around export-control developments and AMAT’s China revenue mix. A new restriction that removes additional mature-node tool demand would invalidate the long-AMAT leg before the cyclical recovery can translate into earnings.