Meta reported a strong Q1 with 33% revenue growth and raised its full-year CapEx guide to $125-145B, citing higher memory costs and infrastructure build-out. Management highlighted AI-driven gains in engagement and ad performance, and emphasized the rollout of custom silicon with Broadcom, alongside AMD and NVIDIA chips. The call also noted a $107B surge in contractual commitments for cloud and infrastructure. Q1 revenue $56.3B (+33% YoY), operating margin 41%.
Meta reported a strong Q1 with 33% revenue growth and raised its full-year CapEx guide to $125-145B, citing higher memory costs and infrastructure build-out. Management highlighted AI-driven gains in engagement and ad performance, and emphasized the rollout of custom silicon with Broadcom, alongside AMD and NVIDIA chips. The call also noted a $107B surge in contractual commitments for cloud and infrastructure. Q1 revenue $56.3B (+33% YoY), operating margin 41%.
Susan Lee increased the 2026 capital expenditure range from $115-$135 billion to $125-$145 billion, attributing the increase to higher component pricing (especially memory) and additional data center costs. She also mentioned a $107 billion step up in contractual commitments…
Mark Zuckerberg said they released the Muse family of models and Muse Spark, which made Meta AI a world-class assistant, and they are training even more advanced models. Susan Lee noted that Muse Spark is now powering Meta AI and they are seeing double-digit percent increases…
Mark Zuckerberg said they released the Muse family of models and Muse Spark, which made Meta AI a world-class assistant, and they are training even more advanced models. Susan Lee noted that Muse Spark is now powering Meta AI and they are seeing double-digit percent increases…
Management expressed strong confidence in their AI research and product roadmap, highlighting rapid progress with Muse Spark, meaningful engagement gains, and a bullish outlook on infrastructure investments, while maintaining a steady tone on core business performance.
Mark Zuckerberg said they released the Muse family of models and Muse Spark, which made Meta AI a world-class assistant, and they are training even more advanced models. Susan Lee noted that Muse Spark is now powering Meta AI and they are seeing double-digit percent increases in Meta AI sessions per user.
Ad conversion rate increased 1.6% from adaptive ranking model expansion. Management expressed strong confidence in their AI research and product roadmap, highlighting rapid progress with Muse Spark, meaningful engagement gains, and a bullish outlook on infrastructure investments, while maintaining a steady tone on core business performance.
Susan Lee increased the 2026 capital expenditure range from $115-$135 billion to $125-$145 billion, attributing the increase to higher component pricing (especially memory) and additional data center costs. She also mentioned a $107 billion step up in contractual commitments from multi-year cloud deals and infrastructure purchase agreements.
Management expressed strong confidence in their AI research and product roadmap, highlighting rapid progress with Muse Spark, meaningful engagement gains, and a bullish outlook on infrastructure investments, while maintaining a steady tone on core business performance.
“These multi-year cloud deals and our infrastructure purchase agreements drove a $107 billion step up in our contractual commitments this quarter”
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| Capex | FY2026 | $125B–$145B | $135B | RAISED |
| Revenue | FY2026 Q2 | $58B–$61B | $59.5B | MAINTAINED |
| Issued | Metric | Target | Guide | Actual | Outcome |
|---|---|---|---|---|---|
| FY2025 Q4 | Revenue | FY2026 Q1 | $53.5B–$56.5B | $56.311B | Met / beat |
Meta is deepening its custom silicon partnership with Broadcom, indicating increased design wins and volume for Broadcom's ASIC business.
“rolling out more than one gigawatt of our own custom silicon that we're developing with Broadcom”
… in what we expect will provide increasing value over the coming years as well. On that note, we are increasing our infrastructure CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing, but every sign that we're seeing in our own work and across the industry gives us confidence in this investment. That said, we are very focused on increasing the efficiency of our investments. And as part of that, we are rolling out more than one gigawatt of our own custom silicon that we're developing with Broadcom, as well as significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well. One of the primary goals of our metacompute initiative is to lead the industry in efficiency of building compute. And we expect that will be a strategic advantage over time. Talking about building physical goods at scale, our AI glasses continue to perform well with the number of people using them, daily tripling year over year. This continues to be one of the fastest growing categories of consumer electronics ever. We released Ray-Ban Meta Optics this quarter, designed for all day wear rather than primarily as …
Meta is adopting AMD chips alongside NVIDIA, diversifying its GPU procurement and ramping AMD's data center GPU sales.
“significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well”
… our infrastructure CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing, but every sign that we're seeing in our own work and across the industry gives us confidence in this investment. That said, we are very focused on increasing the efficiency of our investments. And as part of that, we are rolling out more than one gigawatt of our own custom silicon that we're developing with Broadcom, as well as significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well. One of the primary goals of our metacompute initiative is to lead the industry in efficiency of building compute. And we expect that will be a strategic advantage over time. Talking about building physical goods at scale, our AI glasses continue to perform well with the number of people using them, daily tripling year over year. This continues to be one of the fastest growing categories of consumer electronics ever. We released Ray-Ban Meta Optics this quarter, designed for all day wear rather than primarily as sunglasses. And building on our release of Oakley last year, we have some exciting new partnerships and styles that I …
Meta continues to deploy new NVIDIA systems, sustaining strong demand for NVIDIA's data center GPUs.
“complement the new NVIDIA systems that we're rolling out as well”
… CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing, but every sign that we're seeing in our own work and across the industry gives us confidence in this investment. That said, we are very focused on increasing the efficiency of our investments. And as part of that, we are rolling out more than one gigawatt of our own custom silicon that we're developing with Broadcom, as well as significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well. One of the primary goals of our metacompute initiative is to lead the industry in efficiency of building compute. And we expect that will be a strategic advantage over time. Talking about building physical goods at scale, our AI glasses continue to perform well with the number of people using them, daily tripling year over year. This continues to be one of the fastest growing categories of consumer electronics ever. We released Ray-Ban Meta Optics this quarter, designed for all day wear rather than primarily as sunglasses. And building on our release of Oakley last year, we have some exciting new partnerships and styles that I think are going to …
Meta explicitly cited higher component costs, particularly memory pricing, as the primary driver of its CapEx guidance increase. — Indicates memory pricing is tightening, benefiting memory suppliers like Micron as hyperscalers absorb higher costs to secure supply.
… at such large scale, we'll phase in this new research and technology over time. But the trend over the last few years seems clear that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers. This encourages us to continue investing heavily in what we expect will provide increasing value over the coming years as well. On that note, we are increasing our infrastructure CapEx forecast for this year. Most of that is due to higher component costs, particularly memory pricing, but every sign that we're seeing in our own work and across the industry gives us confidence in this investment. That said, we are very focused on increasing the efficiency of our investments. And as part of that, we are rolling out more than one gigawatt of our own custom silicon that we're developing with Broadcom, as well as significant amount of AMD chips to complement the new NVIDIA systems that we're rolling out as well. One of the primary goals of our metacompute initiative is to lead the industry in efficiency of building compute. And we expect that will be a strategic advantage over time. Talking about building physical goods at …
Meta's contractual commitments surged by $107 billion this quarter due to multi-year cloud deals and infrastructure purchase agreements. — Implies massive prepaid capacity commitments to cloud providers (AWS, Azure, GCP), signaling prolonged compute demand and potential revenue visibility for those hyperscalers.
… products. We are investing aggressively to meet our infrastructure needs and ensure we maximize our strategic flexibility over the coming years. This includes substantially expanding our own data center footprint and striking deals throughout the supply chain to secure necessary components for future capacity. We're also signing cloud deals that will come online over the course of this year and 2027, allowing us to scale more quickly. These multi-year cloud deals and our infrastructure purchase agreements drove a $107 billion step up in our contractual commitments this quarter. Our investments will support our training needs for future models and, most importantly, provide us the inference capacity necessary to deliver personal and business agents to billions of people around the world, along with several other AI product experiences we're developing. As we grow our infrastructure spend, we remain committed to operating efficiently, and we recently shared internally that we plan to reduce the size of our employee base in May. We believe a leaner operating model will allow us to move more quickly while also helping to offset the substantial investments we're making. Moving to …