Shares shifted sharply higher this week after Meta clawed back much of the ~9–10% post-earnings selloff that followed its July 30 Q2 report. The stock jumped 6.6% on Monday alone after Morgan Stanley analysts reassured investors about the company's prospects amid record AI infrastructure spending. The rebound poses a pointed question: is Wall Street repricing a temporary earnings stumble, or papering over a structural cash crunch?
The Earnings Miss Was Worse Than the Headline Suggests. Revenue of $60.8 billion beat expectations, but free cash flow collapsed 91% to just $784 million as AI infrastructure spending hit $31 billion in a single quarter.
EPS came in at $6.18 versus a consensus near $7.22 — a roughly 15% miss — and total operating expenses reached $42 billion, up 55% year-over-year, including $2.4 billion in legal charges and $1.2 billion in severance costs. Even stripping those out, underlying expense growth far outpaced the 28% revenue gain.
The AI Spending Commitment Just Got Bigger, Not Smaller. Meta narrowed its full-year 2026 capital expenditure guidance to $130–$145 billion, raising the floor from the prior $125 billion — signaling increased confidence in the spending commitment, not a reduction.
The company issued roughly $25 billion in new long-term debt in Q2 alone to supplement operating cash. For shareholders, this means buybacks and dividends are currently funded by borrowing, not profit — an unusual position for a company generating $60 billion in quarterly revenue.
The Ad Business Is Healthy, But the Margin Math Is Getting Harder. Daily active users across Meta's apps averaged 3.6 billion, up 3% year-over-year; ad impressions grew 14% and average ad prices rose 12%.
Meta's AI-powered ad tools reached an annual revenue run rate above $75 billion in Q2 , proving the technology is already monetizing. But R&D spending jumped to 36% of revenue, up from 27% a year ago , compressing margins faster than ad improvements can widen them.
Wall Street Remains Bullish — For Now. Sixty-two analysts rate the stock a "Strong Buy" with an average 12-month price target of $756.95, implying 28% upside. Yet shares are still down 23.5% over the past 12 months , and the company has offered no timeline for when AI investment will translate into earnings payback. Until that visibility improves, every rally carries a question mark the size of $145 billion.