Meta's core business funds its AI buildout; Deutsche Bank maintains Buy and cuts its price target to USD 750

Overview

Deutsche Bank published a company research report on Meta. Its core judgment is that although 2Q26 results appeared complex due to legal expenses, severance costs, and concerns over capital expenditures, revenue, advertising growth, and AI-driven improvements in engagement indicate that the core business retains strong profitability. The report maintains a Buy rating but lowers the price target from USD 800 to USD 750 due to reduced visibility into FY27 capital expenditures and declining peer valuation multiples.

Core views

The report's core views are that Meta's core advertising business can continue funding large-scale AI infrastructure buildout; AI is already generating tangible benefits in content recommendations, ad clicks, conversion rates, creative tools, and business messaging; Business Agents, subscriptions, APIs, enterprise products, and potential compute sales could create new revenue layers; and a higher proportion of internally developed chips after 2028 could improve data center economics. The primary uncertainty remains the scale of FY27 capital expenditures and their return on investment.

Analysis framework

The report uses a fundamental earnings review, adjustments to revenue and expense forecasts, analysis of AI product commercialization pathways, assessment of capital expenditure and infrastructure economics, and a price-target methodology based on a multiple of FY27 GAAP EPS. Deutsche Bank lowered its target multiple from 24x to 23x to reflect limited visibility into FY27 capital expenditures and declining peer valuation multiples.

Methodology notes

• Valuation methodsTarget P/E method

  A 23x P/E multiple is applied to estimated FY27 GAAP EPS to derive a USD 750 price target.

  The target multiple was reduced from 24x, primarily due to the lack of a FY27 capital expenditure framework and declining peer valuation multiples.

• Fundamental analysisRevenue, earnings, and capital expenditure forecast revisions

  FY26 revenue and GAAP EPS expectations were lowered, while capital expenditure estimates were moderately increased.

  The report believes the higher expense guidance was primarily driven by legal expenses and severance costs, while the narrower capital expenditure range reflects improved supply and project visibility rather than another acceleration in the infrastructure plan.

• Industry and product analysisAI commercialization pathway analysis

  The monetization potential of AI recommendations, advertising tools, Business Agents, APIs, subscriptions, and compute sales is evaluated.

  Deutsche Bank believes AI investment has improved ad clicks, conversions, and time spent, and may generate additional revenue through agents, APIs, and selective compute sales.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• META.US

  Primary asset; covered by Deutsche Bank, which maintains a Buy rating

  Strengths

  The core advertising business is large and continues to accelerate, while AI recommendations and creative tools improve engagement, clicks, and conversions; potential compute sales and AI software products offer opportunities for additional high-margin revenue; a higher proportion of in-house chips after 2028 could reduce infrastructure costs.

  Weaknesses

  AI infrastructure investment is substantial, putting near-term pressure on free cash flow; there is no clear framework for FY27 capital expenditures; Reality Labs remains loss-making, while legal expenses and severance costs reduce the readability of reported results.

  Comparison

  The report notes that META still trades at a discount to the S&P 500 on a forward-12-month EPS P/E basis, and the relative discount may have widened after the share-price pullback.

  Risks

  Changes in privacy policies, reduced advertising targeting and measurement capabilities, declining user engagement due to intensifying competition, worsening macroeconomic conditions, and capital expenditure returns falling short of expectations.

Key data

• 2Q26 revenueUSD 60.8bn, up 28% year over year; up 27% on a constant-currency basisAbove the high end of prior guidance after adjusting for exchange rates.
• 3Q26 revenue guidanceUSD 61bn-64bn, up 19%-25% year over year; up 20%-26% on a constant-currency basisUnder the high-end scenario, growth slows only modestly despite a higher base.
• Family of Apps advertising revenueUp 27% year over year; up 26% on a constant-currency basisImpressions increased 14%, while average ad prices increased 12%.
• Advantage+ annualized revenue run rateUSD 75bnThe scaling of AI advertising products continued to improve.
• Merchants using Meta AI creative toolsMore than 9 million small businessesUsing at least one AI creative tool; adoption of image generation more than doubled during the quarter.
• Business Agents usageMore than 1 million businesses per weekCovering WhatsApp and Messenger and beginning to roll out to Instagram; subscription and usage-based token pricing is planned for 2H26.
• FY26 expense guidanceUSD 165bn-169bnThe low end was raised to include USD 2.4 billion in legal expenses confirmed in 2Q; the quarter also included USD 1.2 billion in severance costs.
• FY26 capital expenditure guidanceUSD 130bn-145bnThe midpoint was raised by USD 2.5 billion, while the high end was unchanged.
• 2Q26 capital expendituresUSD 31.1bnIncluding principal payments on finance leases; free cash flow declined to USD 784 million.
• Price targetUSD 750, versus USD 800 previouslyBased on estimated FY27 GAAP EPS and a 23x multiple.

Impact & implications

The report's impact assessment for Meta is positive overall: although capital expenditure intensity and limited FY27 visibility continue to weigh on sentiment, the resilience of the advertising business, AI-driven conversion gains, and new monetization pathways provide a foundation for valuation recovery. If compute sales, Business Agents, APIs, and in-house chip development deliver, the returns on AI infrastructure investment could be recognized by the market sooner.

Risks

• Privacy changes could weaken advertising measurement or targeting capabilities and affect market sentiment.
• If intensifying competition causes user engagement to decline, the attractiveness of advertising products could weaken.
• Worsening macroeconomic conditions could suppress advertising budgets and corporate spending.
• The lack of a clear FY27 capital expenditure framework could continue to pressure valuation.
• AI infrastructure investment is substantial; if ROIC fails to expand, free cash flow and margins could come under pressure.
• The commercialization of in-house chips, compute sales, Business Agents, and APIs still requires further evidence of volume, migration, and revenue.

What to watch

• Whether 3Q26 revenue approaches or exceeds the USD 61 billion-64 billion guidance range.
• Whether a FY27 capital expenditure framework is disclosed and whether it could represent the peak in investment intensity.
• The continued contribution of AI recommendations and advertising models to impressions, prices, click-through rates, and conversion rates.
• The rollout of subscription and usage-based token pricing for Business Agents in 2H26.
• Whether Meta selectively sells or leases compute capacity and the premium of transaction prices over costs.
• The proportion of data center server procurement and in-house chip deployment after 2028.
• The expense baseline excluding legal expenses and severance costs, and the extent of cost improvement in FY27.