Core Business Continues to Grow Strongly, but Long-term AI Strategy and Capital Intensity Remain Key to Sentiment

Overview

This report is Goldman Sachs' company research commentary on Meta Platforms Inc.'s Q1'26 results. The report believes Meta's core Family of Apps and advertising businesses continue to outperform the industry, while AI is being deeply integrated into internal product innovation, advertising tools, user growth, and monetization pathways. However, in the near term, investors will still focus on whether AI investment can translate into products, revenue, and profit, as well as the depth and duration of the high capital expenditure cycle.

Core views

Goldman Sachs maintained its Buy rating. The core rationale is that Meta remains at the intersection of multiple long-term structural growth themes, including AI, content recommendations, Reels, click-to-message ads, Advantage+ ad budget adoption, and spatial computing. The report also emphasizes that management's long-term investments in AI and Reality Labs may change the company's future margin structure and capital intensity, so the market needs clearer evidence of the long-term AI strategy and return on investment.

Analysis framework

The report makes its assessment by combining actual results, company guidance, management commentary, segment operating performance, expense and capital expenditure trends, future-year earnings forecasts, and valuation models. The target price uses an equal-weighted blend of two methods: first, applying an EV/GAAP EBIT multiple to next-twelve-months-plus-one-year estimated GAAP EBIT; second, applying a modified DCF and EV/FCF-SBC multiple to estimated FCF-SBC over the next four years.

Methodology notes

• Valuation methodsEqual-weighted EV/GAAP EBIT and modified DCF valuation

  The target price is derived from two components, EV/GAAP EBIT and EV/FCF-SBC modified DCF, each weighted at 50%.

  Goldman Sachs lowered the EV/GAAP EBIT multiple from 26.0x to 24.0x to reflect slightly lower confidence in META's future EBIT trajectory under high capital intensity; meanwhile, it maintained a 40.0x EV/FCF-SBC multiple and discounted it back three years at a 12% discount rate.

• Factor ProfileGoldman Sachs Factor Profile

  Compares a stock's relative position versus the market and industry peers from the perspectives of growth, financial returns, valuation multiples, and composite factors.

  The growth factor is based on forward revenue, EBITDA, and EPS growth; the financial return factor is based on ROE, ROCE, and CROCI; and the valuation multiple factor is based on metrics such as P/E, EV/EBITDA, and EV/FCF.

• M&A FrameworkM&A Rank

  Goldman Sachs assigns META an M&A Rank of 3.

  M&A Rank 3 represents a relatively low probability of being acquired and is generally viewed as an M&A factor with insignificant impact on the target price.

Asset mapping & comparison

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

• Meta Platforms Inc. (META)

  Core covered company

  Strengths

  Family of Apps and advertising business growth is strong; Reels, click-to-message ads, content recommendations, and Advantage+ have sustained momentum; and the AI product roadmap has long-term commercialization potential.

  Weaknesses

  Capital expenditures and infrastructure costs have risen significantly, Reality Labs continues to incur losses, and investors still lack sufficient visibility into returns on AI investment and long-term margins.

  Comparison

  The report states that META's core business continues to outperform the industry, but its share price performance has temporarily lagged the S&P 500, and valuation multiples are being suppressed by capital intensity and the AI investment cycle.

  Risks

  Advertising competition, regulatory and antitrust risks, long-term investment depressing margins, insufficient shareholder returns, and failure to effectively monetize optional growth opportunities related to AI and the metaverse.

• Alphabet Inc., Amazon.com Inc., Microsoft Corp., Apple Inc., NVIDIA Corp.

  Large-cap technology peer valuation reference

  Strengths

  Used to construct a reference for large-cap technology peer EV/EBIT multiples.

  Weaknesses

  The report does not provide detailed fundamental comparisons for these companies individually.

  Comparison

  Goldman Sachs uses the average 24.0x EV/EBIT multiple of META, GOOGL, AMZN, MSFT, AAPL, and NVDA since 2022 as a valuation reference.

  Risks

  Changes in peer multiples will affect META's valuation anchor, especially during the AI capital expenditure cycle.

Key data

• 12-month target price$830.00Lowered from the previous $840.
• Current price$669.12Price disclosed on the report's cover page.
• Implied upside24.0%Calculated based on the target price and current price.
• Q1'26 total revenue$56.311bnUp 33.1% year over year, below Goldman Sachs and consensus expectations.
• Q1'26 GAAP EPS$10.44Above Goldman Sachs' $8.22 and consensus expectations of $8.21, including a one-time $8.03bn income tax benefit.
• FY26 revenue forecast$255.18bnRaised from the previous $251.11bn.
• FY26 GAAP EPS forecast$33.28Raised from the previous $28.64.
• FY26 capital expenditure guidance$125-145bnRaised from the previous $115-135bn.
• Market capitalization$1.7trKey data from the report's cover page.
• 3-month average daily trading value$9.4bnKey data from the report's cover page.

Impact & implications

The report's conclusion on META is positive, but not unconditionally optimistic. The core advertising business and improvements in AI advertising tools support revenue growth, enough to maintain the Buy rating; at the same time, high capital expenditures, infrastructure costs, employee compensation, Reality Labs losses, and insufficient visibility into AI commercialization may continue to weigh on the market's confidence in medium- to long-term margins and free cash flow.

Risks

• User growth, user engagement, and advertising budgets face competition from internet, media, and e-commerce companies.
• Long-term investments in AI, Reality Labs, and other long-tail projects may cause operating margins to fall below forecasts and remain depressed for longer.
• Insufficient future incremental shareholder returns may weaken investment appeal.
• Regulatory scrutiny and changes in industry rules may affect the outlook for the business model.
• Antitrust scrutiny may weigh on M&A, talent acquisition, and product innovation, and could even create risks of breakup or synergy losses.
• Optional growth opportunities such as messaging, social commerce, Oculus, and Metaverse may fail to commercialize effectively.
• The global macro environment and fluctuations in risk appetite for growth stocks will affect valuation and share price.

What to watch

• Whether AI investment can generate visible product, revenue, and profit returns.
• Whether actual FY26 capital expenditures land near the upper end of the $125-145bn range, and whether component and data center costs continue to rise.
• Family of Apps advertising growth, impressions, user engagement, and adoption of generative AI advertising tools.
• Whether Operating Margin and FCF can remain stable during the high-investment cycle.
• Whether Reality Labs losses continue to narrow, and whether AI glasses revenue can provide a meaningful offset.
• Whether the Muse Spark and personal agent roadmaps can create commercialization opportunities on the consumer and enterprise sides.