Meta reported strong Q2 2026 with 28% revenue growth driven by AI improvements in ads and recommendations. Management raised full-year capex to $130-145B, citing tight compute supply and high demand. They announced a data center partnership with BlackRock and highlighted scaling of business agents and AI tools. Q3 revenue guidance of $61-64B signals continued momentum. Q2 total revenue $60.8B (+28% YoY), ad revenue $59.4B (+27%).
Buzzberg readQ2 total revenue $60.8B, up 28%Meta reported strong Q2 2026 with 28% revenue growth driven by AI improvements in ads and recommendations. Management raised full-year capex to $130-145B, citing tight compute supply and high demand. They announced a data center partnership with BlackRock and highlighted scaling of business agents and AI tools. Q3 revenue guidance of $61-64B signals continued momentum. Q2 total revenue $60.8B (+28% YoY), ad revenue $59.4B (+27%).Read full analysisCollapse analysis
Meta reported strong Q2 2026 with 28% revenue growth driven by AI improvements in ads and recommendations. Management raised full-year capex to $130-145B, citing tight compute supply and high demand. They announced a data center partnership with BlackRock and highlighted scaling of business agents and AI tools. Q3 revenue guidance of $61-64B signals continued momentum. Q2 total revenue $60.8B (+28% YoY), ad revenue $59.4B (+27%).
Full-year 2026 capex raised to $130-145B; total expenses $165-169B.
New BlackRock partnership for 1 GW data center in Texas.
Over 9 million small businesses using AI ad creative tools; Meta Business Agent launched globally.
Revenue$60.801B
+8% QoQ
EPS$6.18
-41% QoQ
Gross margin81.37%
reported
Op margin30.88%
reported
What changed this quarter
01
Demand
Q2 total revenue $60.8B, up 28%
Management expressed strong confidence in AI-driven growth and product pipeline, despite higher expenses and legal costs; no notable shift in tone from prior calls.
02
Capex
CapEx in Q2 was $31.1 billion
Management raised the lower end of 2026 CapEx guidance to $130-145 billion, investing aggressively in infrastructure including a 1GW data center partnership with BlackRock. They noted strong demand for compute and tight industry capacity, aiming to maximize capacity in 2026-2027.
03
AI
60% increase in Meta AI daily interactions
Management stated that AI investments are accelerating core business improvements across recommendations, ads, and content understanding, while new personal and business agents are expected to drive future revenue. They highlighted strong adoption of Meta AI (60% daily…
04
AI
Over 1 million businesses using business agents
Management stated that AI investments are accelerating core business improvements across recommendations, ads, and content understanding, while new personal and business agents are expected to drive future revenue. They highlighted strong adoption of Meta AI (60% daily…
AI, capex & demand read
AI
Platform & monetization
Management stated that AI investments are accelerating core business improvements across recommendations, ads, and content understanding, while new personal and business agents are expected to drive future revenue. They highlighted strong adoption of Meta AI (60% daily interaction increase) and over 1 million businesses using AI agents.
Demand
Bookings & conversion
Q2 total revenue $60.8B, up 28%. Management expressed strong confidence in AI-driven growth and product pipeline, despite higher expenses and legal costs; no notable shift in tone from prior calls.
Capex
Investment and capacity
Management raised the lower end of 2026 CapEx guidance to $130-145 billion, investing aggressively in infrastructure including a 1GW data center partnership with BlackRock. They noted strong demand for compute and tight industry capacity, aiming to maximize capacity in 2026-2027.
Tone · confident
Management expressed strong confidence in AI-driven growth and product pipeline, despite higher expenses and legal costs; no notable shift in tone from prior calls.
Supply-chain alpha
A1
The industry has underbuilt historically for AI adoption, making existing capacity extremely valuable and tight for the foreseeable future.
BlackRock is co-investing in a large data center project, signaling strong demand for AI infrastructure and providing BlackRock with infrastructure asset fees.
“we announced a new strategic venture with BlackRock to develop a new one gigawatt data center in El Paso, Texas.”
… that we're going to continue to evolve more of these products to be like our ad systems, where businesses only pay us when we achieve results for them. Over time, that will let us run an efficient auction over our compute, similar to how we do that for advertisers today. As AI usage in our products and businesses continues to ramp, We continue to invest aggressively in infrastructure to meet the demand. Yesterday, as part of our metacompute effort, we announced a new strategic venture with BlackRock to develop a new one gigawatt data center in El Paso, Texas. Overall, we expect that a significant portion of our compute is going to go towards training our models growing our core business and delivering personal agents and new products. But we also expect to grow a large business serving large customers as well. We've built our API. We're rolling out business agents. We're getting a lot of offers for compute at a significant premium over what we paid for it. And we have more coding and productivity tools on our roadmap as well. And we'll have more to share on all of this soon. As we get closer to personal super intelligence, We are also going to need hardware that allows you to …
… we'll have more to share on all of this soon. As we get closer to personal super intelligence, We are also going to need hardware that allows you to seamlessly interact with it. Glasses are the ideal form factor since they can be with you throughout the day, and they can assist you without pulling you away from the moment. Our glasses remain one of the fastest growing consumer electronics of all time, and we continue adding to the lineup. We just released our own line of meta glasses in collaboration with SLR Luxottica, including a style that we designed with Kylie Jenner. They're the first glasses to ship with MuseSpark out of the box so that they can understand what you're seeing and give even more helpful answers. Early sales have been strong, exceeding our expectations, and we're going to have more to share on our glasses lineup at this year's Connect conference on September 23rd, so I encourage you to tune in then. Before I wrap, I want to mention that I I just published an op-ed about why I'm so optimistic that we are building a positive future for everyone. At Meta, we have always built technology to put power in people's hands so that they can connect with the people …
Meta is receiving offers to sell compute at a significant premium over its cost, indicating strong outsized market demand for AI compute. — Confirms that AI compute demand far exceeds supply, supporting pricing power for hardware suppliers like Nvidia and justifying Meta's aggressive buildout.
… broadening its distribution and making it easier for developers to adopt the model. We soon expect to roll out the model API to more distribution channels, make it available in more countries, and open it up for enterprises. Our approach to building capacity is strongly influenced by several key elements. First, the broad environment for building infrastructure is dynamic and uncertain in both near-term and longer-term time horizons. The industry has underbuilt historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable. Longer term, the supply chains need to be built out to support the capacity that we anticipate we and others will need for AI-powered experiences. Second, we have high confidence in our ability to utilize capacity to scale and build on top of our existing experiences, as well as continue to invest in foundational models that will create substantial new opportunities. Consequently, our current plans are geared towards maximizing 2026 and 2027 capacity. When we have had incremental capacity in the past, it has proven extremely valuable in scaling experiences like REELS, and we are confident that this will be …
… broadening its distribution and making it easier for developers to adopt the model. We soon expect to roll out the model API to more distribution channels, make it available in more countries, and open it up for enterprises. Our approach to building capacity is strongly influenced by several key elements. First, the broad environment for building infrastructure is dynamic and uncertain in both near-term and longer-term time horizons. The industry has underbuilt historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable. Longer term, the supply chains need to be built out to support the capacity that we anticipate we and others will need for AI-powered experiences. Second, we have high confidence in our ability to utilize capacity to scale and build on top of our existing experiences, as well as continue to invest in foundational models that will create substantial new opportunities. Consequently, our current plans are geared towards maximizing 2026 and 2027 capacity. When we have had incremental capacity in the past, it has proven extremely valuable in scaling experiences like REELS, and we are confident that this will be …
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