Goldman Sachs has reaffirmed a Buy recommendation on Meta Platforms, keeping an $815.00 price target after the company's fourth-quarter 2025 earnings release. That target implies roughly a 22% upside relative to Meta's then-current share price of $668.73, with the stock trading near InvestingPro's Fair Value estimate.
The investment bank expects investors will react "slightly positive" to the quarterly report, pointing to stronger-than-anticipated revenue in Q4 and first-quarter revenue guidance that exceeded Goldman's own forecasts. Meta has sustained notable momentum over the past year, with revenue rising 21.27% year over year and the company reporting an industry-leading 82.01% gross profit margin over the last twelve months.
Meta's forward-looking cost and capital plans drew attention. Management outlined total GAAP expenses in a range of $162 billion to $169 billion and projected capital expenditures between $115 billion and $135 billion. Those figures were higher than Goldman's prior estimates but, according to the bank, were "slightly less than feared" based on investor conversations over the prior month.
Goldman described the results as "a good step by META management in terms of operating performance," suggesting the quarter could create an opening to discuss the company's investment cadence and the operating momentum in its core businesses. The bank also noted the potential for new pillars of Meta's AI strategy to emerge as areas of investor focus.
Looking ahead, Goldman anticipates the earnings call will center on Meta's broader AI strategy over the next 12 to 24 months, how the company plans to scale compute resources for both internal and external use cases, and how management intends to balance core operating efficiencies with funding for growth investments.
From a valuation standpoint, Meta was trading at a price-to-earnings ratio of 29.65 and a PEG ratio of 4.21. Investors seeking deeper valuation metrics and additional research were directed to InvestingPro, which provides further insights and ProTips on the $1.69 trillion company.
In related developments, BofA Securities raised its price target on Corning to $120 from $110 while maintaining a Buy rating after Corning's quarterly report. The company posted a modest revenue beat driven by strength in its Display and Hemlock businesses, though its Optical segment fell short of expectations. Separately, Meta Platforms committed to investing up to $6 billion in Corning's fiber-optic cable technology through 2030, a move intended to support Meta's AI data center infrastructure.
Other major Wall Street firms reiterated bullish stances on Meta. Wolfe Research and Bernstein reaffirmed positive outlooks, with price targets clustered between $800 and $870. Wolfe Research projects 21% year-over-year revenue growth for Meta in 2026, above the Street's 18.5% estimate, and expects capital expenditures to rise to $118 billion.
Outside of corporate and analyst activity, the broader communications and social media landscape reported a legal development: TikTok settled a social media addiction lawsuit with a 19-year-old plaintiff from California, one among a group of suits alleging harm to young users from social platforms.
For investors monitoring individual equities, the report included a short section highlighting tools that analyze stocks across multiple metrics. The ProPicks AI offering evaluates companies such as Corning using over 100 financial measures to identify risk-reward opportunities. The promotional summary pointed to past successes flagged by the service, including Super Micro Computer (+185%) and AppLovin (+157%), and noted the system's methodology is driven by data and screening across fundamentals, momentum and valuation.
Overall, Goldman's view underscores a cautiously constructive reaction to Meta's quarter: solid top-line performance, high margins, and guidance that, while raising expense and capital expectations, fell short of the more severe outcomes some investors had feared. Near-term investor attention appears set to concentrate on how Meta sequences its investments, manages operating efficiency, and deploys compute and capital to support AI initiatives.