Meta Platforms, Inc.

(NASDAQ Global Select)
Bullish +65

Why this analyst expects Meta stock to hit $1,000

πŸ“ˆ Wells Fargo analyst Ken Gawrelski raised META's price target to $1,000 from $796 with an Overweight rating.

πŸ€– Meta's Muse AI agent has attracted over 3 million weekly users and 6.6 million downloads since its September launch.

πŸ’° Citi estimates Muse could generate more than $27 billion in annual revenue by 2030 through transactions and subscriptions.

⚠️ Wells Fargo warns META's 2027 operating expenses could reach $210B-$215B, exceeding Street estimates of ~$202B.

πŸ“‰ EPS guidance for 2027 is projected at $31-$32, below the consensus estimate of approximately $34.

πŸ“Š Q2 revenue rose 28% year-over-year to $60.8 billion while costs and expenses surged 55% to $42.03 billion.

πŸ“ˆ Deutsche Bank reports strong channel checks for META, citing improved campaign performance and AI ad tool adoption.

πŸ”„ Investors are awaiting Q3 commentary for clarity on the timeline for converting Muse users into revenue.

πŸ† Meta's core advertising business continues to support the company despite high AI-related investment cycles.

Bullish Signals
  • Wells Fargo raised META's price target to $1,000 from $796, maintaining an Overweight rating due to strong investor enthusiasm for the Muse AI platform.
  • Meta's Muse consumer AI agent has achieved significant adoption with over 3 million weekly users and more than 6.6 million downloads since its September launch.
  • Citigroup estimates that Muse could generate over $27 billion in annual revenue by 2030, driven by transaction-related revenue and subscriptions.
  • Deutsche Bank reports the strongest channel checks for META among major tech firms, citing improved campaign performance and growing adoption of AI advertising tools.
  • Meta's core advertising business continues to provide financial support, cushioning near-term earnings while the user base compounds.
Risk Factors
  • Wells Fargo warns that META's 2027 operating expenses could reasonably reach $210 billion to $215 billion, significantly above the Street's estimate of roughly $202 billion.
  • EPS guidance for 2027 is projected at $31 to $32, which falls below the consensus estimate of about $34 per analyst expectations.
  • Second-quarter expenses increased 55% year-over-year to $42.03 billion, reflecting a significant increase in Meta's cost base driven by AI investment.
  • There is a key risk that management's rising AI spending fails to convert Muse users into meaningful revenue before the 2027 monetization timeline.
Full Analysis
Wells Fargo analyst Ken Gawrelski raised his price target for Meta Platforms (META) to $1,000 from $796, maintaining an Overweight rating due to enthusiasm for the company's AI platform ramp. The analyst views Meta's Muse consumer AI agent as a significant long-term opportunity, citing internal data showing over 3 million weekly users and more than 6.6 million downloads since its September launch. Despite the bullish outlook on Muse, Wells Fargo warns of potential earnings headwinds driven by rising operating expenses. The firm estimates Meta's 2027 operating costs could reach $210 billion to $215 billion, surpassing Street estimates of roughly $202 billion, with EPS projected at $31-$32 versus a consensus of $34. This spending outlook follows a significant increase in the cost base, where second-quarter expenses rose 55% to $42.03 billion. Meta's core advertising business continues to provide financial support, with Deutsche Bank noting strong channel checks and improved campaign performance. However, investors are closely watching third-quarter commentary for clarity on management's timeline for converting Muse adoption into meaningful revenue, as the company faces competition from other major AI agents in the market. Citigroup also sees significant potential for Meta's AI strategy, estimating that Muse could generate over $27 billion in annual revenue by 2030. The brokerage highlights first-mover advantages and growing user engagement, while acknowledging that near-term earnings may be cushioned by ad engine improvements even if full Monetization of the AI agent is delayed.