burningtheta
Earnings·April 30, 2026·4 min read

Meta Beats Q1 Estimates But Sinks 8% on AI Spend

Facebook parent raises 2026 capex guidance to $145B from $135B. Revenue grows 33% but investors balk at accelerating infrastructure costs.

ET

Emily Thompson

BurningTheta

Meta Beats Q1 Estimates But Sinks 8% on AI Spend

Meta delivered a clean beat and got punished for it.

The Facebook parent reported Q1 2026 results Wednesday that exceeded estimates on revenue, earnings, and user growth. But the stock dropped 8% after hours on one number: $145 billion in updated 2026 capital expenditure guidance, up from the prior $135 billion range.

Wall Street is losing patience with AI spending. Or at least with AI spending that lacks clear revenue attribution.

The Numbers

MetricQ1 2026Q1 2025Change
Revenue$56.3B$42.3B+33%
EPS$7.31$5.30+38%
Daily Active Users3.45B3.07B+12%
Operating Margin42%38%+400 bps

That 33% revenue growth is the fastest since 2021. The advertising recovery that began in 2024 continues to accelerate, driven by AI-powered ad targeting improvements and strong engagement across Instagram Reels and Facebook feeds.

User growth of 12% across the family of apps is remarkable for platforms at this scale. Meta added 380 million daily active users in a single year. The metaverse pivot that critics declared dead has been replaced by an AI-first strategy that's clearly working.

So why did the stock drop?

The Spending Question

Meta raised its full-year capex guidance to $125-145 billion, up from $115-135 billion. The midpoint jumped $10 billion in a single quarter.

Management attributed the increase to "higher component pricing" and "additional data center costs to support future year capacity." Translation: AI chips are expensive, and Meta is buying a lot of them.

The 2026 expense guidance remained at $162-169 billion, unchanged from prior estimates. But the capex figure spooked investors who have been asking the same question for two years: where's the ROI?

When analyst Mark Mahaney asked CEO Mark Zuckerberg about signs of return on AI investment, the response was telling: "That's a very technical question."

Not reassuring.

The Workforce Trade-off

Meta is trying to offset infrastructure costs by cutting people. The company announced plans to lay off roughly 10% of its workforce—about 8,000 employees—while eliminating 6,000 open positions.

The math is straightforward. Headcount costs are flexible; data center leases and NVIDIA contracts are not. Meta is choosing to invest in silicon over salary.

This strategy has precedent. Meta's "year of efficiency" in 2023 slashed 20,000 jobs and delivered record margins in 2024. But investors are skeptical that the same playbook works when capex is growing 30% annually.

Advertising Strength

The core business remains a cash machine. Revenue per user continues to climb as AI-powered recommendation algorithms improve ad targeting precision.

Reels monetization has reached parity with Feed across most markets. Stories continue to grow. WhatsApp is finally contributing meaningful revenue through business messaging APIs.

The advertising business doesn't have an AI spending problem—it has an AI spending payoff. The question is whether the broader infrastructure investments will deliver similar returns.

Reality Labs Still Burns

The metaverse bet continues to hemorrhage money. Reality Labs posted $5.2 billion in operating losses on $1.1 billion in revenue. The segment has lost $62 billion cumulatively since 2020.

Zuckerberg shows no signs of abandoning the vision. Quest headset sales remain modest, and the consumer metaverse proposition hasn't materialized. But the enterprise AR/VR market is growing, and Meta's hardware team has improved significantly.

Still, investors have largely written off Reality Labs. The division could disappear tomorrow and the stock would probably rally.

Valuation Disconnect

At $520 per share after hours, Meta trades at roughly 20x forward earnings. That's cheaper than Alphabet and significantly below Amazon. For a company growing revenue 33%, the multiple seems compressed.

The answer is trust. Investors trust that Amazon's AI spending will generate cloud revenue. They trust that Alphabet's capex will expand Google Cloud margins. They're less certain that Meta's $145 billion will produce tangible returns beyond "better ads."

Meta's problem isn't performance—it's narrative. The company needs to articulate exactly how AI infrastructure translates to revenue in a way that satisfies skeptics. Until then, the stock will likely underperform its Magnificent Seven peers despite superior growth metrics.

The irony is that Meta's AI investments are already paying off through advertising efficiency. But Wall Street wants a new revenue stream, not optimization of existing ones. That disconnect may take quarters to resolve.