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Bullish +65

Citizens Cuts Alphabet Stock (GOOGL) Price Target Ahead of Q3 Earnings, but Stays Bullish. Here’s Why

Analyst downgrade Quantum processor AI-generated analysis

πŸ“‰ Citizens analyst Andrew Boone lowered GOOGL price target to $450 from $515 but maintained a Buy rating ahead of Q3 2026 earnings.

☁️ Analyst expects strong cloud results driven by favorable pricing and utilization in the third quarter.

πŸ” Search business faces incremental caution due to rising competition from AI agents and tough year-over-year comparisons.

πŸ“Ί YouTube advertising revenue is viewed as a 'wild card' with World Cup boost fading but election ad spend ramping up.

πŸ’° Wall Street consensus remains Strong Buy with an average price target of $427.16 implying 33% upside.

πŸ“ˆ Analysts project Q3 EPS of $3.03 and revenue growth of approximately 25% to $127.9 billion.

πŸ€– Google remains well-positioned across AI with strong prospects for Gemini and third-party demand for Cloud.

πŸš— Company's distribution across Android and Chrome positions it as a leading intuitive agent offering.

βš›οΈ Alphabet offers $150,000 in prizes to researchers for improving quantum computing efficiency using AI.

πŸ† Gemini AI models have already produced more efficient quantum circuits than previously published designs.

Bullish Signals
  • Analyst expects strong cloud results driven by favorable pricing and utilization ahead of Q3 earnings.
  • Wall Street consensus remains Strong Buy with an average price target of $427.16 implying 33% upside.
  • Company is well-positioned across AI with strong prospects for Gemini and third-party demand for Google Cloud.
  • YouTube advertising revenue is expected to ramp up due to U.S. midterm-election ad spend.
  • Analyst believes Google's distribution across Android and Chrome makes it the most intuitive agent offering.
  • Company holds a significant equity stake in Waymo, supporting its autonomous vehicle strategy.
  • Alphabet is advancing quantum computing research with $150,000 in prizes for efficient circuit designs.
  • Gemini AI models have already produced more efficient quantum circuits than previously published designs.
Risk Factors
  • Analyst warns of execution risks and incremental caution on Search business due to rising competition from AI agents.
  • Search performance is expected to be essentially in line with expectations due to tough year-over-year comparisons.
  • YouTube advertising boost from the World Cup is fading, creating revenue uncertainty for the video segment.
  • Analyst cites growing concerns about payback on high AI capital expenditures as a key risk factor.
Full Analysis
Citizens Financial Group analyst Andrew Boone reiterated a Buy rating on Alphabet Inc. (GOOGL) ahead of its Q3 2026 earnings report scheduled for October 28, though he lowered his price target from $515 to $450. While maintaining that Google is well-positioned in AI, Boone expressed incremental caution regarding the Search business due to intensifying competition from AI agents and concerns about payback on high capital expenditures. The analyst expects Alphabet to deliver better-than-expected cloud results driven by favorable pricing and utilization, while Search performance is projected to be in line with expectations due to tough year-over-year comparisons. Boone views YouTube as a potential 'wild card' as advertising revenue from the World Cup fades, though he anticipates a ramp-up in U.S. midterm-election ad spend will provide support. Wall Street consensus remains strongly bullish on GOOGL, with an average price target of $427.16 implying approximately 33% upside potential from current levels. Analysts expect earnings per share to reach $3.03 and revenue to rise about 25% to $127.9 billion. The company's dominant positions in Search, AI, online video, and its significant equity stake in Waymo continue to support a premium valuation despite execution risks. In addition to earnings expectations, Alphabet is actively advancing its quantum computing research by offering $150,000 in prizes to researchers via Kaggle for developing more efficient quantum circuits. This initiative aims to reduce the computing power required for complex calculations in fusion energy, chemistry, and optimization, leveraging Google's Gemini AI models which have already produced superior circuit designs.