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    META
    Earnings call· Mar 2026(Q1 FY26)

    Meta Platforms Q1 FY26 earnings call META

    Apr 29, 2026 Source

    Executive summary

    Meta Platforms Q1 FY26 — Strong AI Progress and Core Business Growth

    Meta delivered a strong quarter, driven by robust ad revenue growth and significant advancements in AI. The company is aggressively investing in AI infrastructure and models, including the release of Muse Spark and an upgraded Meta AI, aiming to deliver personal superintelligence to billions. While facing increased CapEx due to component costs, Meta remains focused on efficiency and leveraging AI to enhance core products and explore new monetization avenues in commerce and business agents.

    Highlights

    5

    • Total revenue increased 33% year-over-year to $56.3 billion.

    • Family of Apps ad revenue grew 33% year-over-year to $55 billion.

    • Total ad impressions served across services increased 19%.

    • Global average price per ad increased 12% year-over-year.

    • Value optimization suite annual revenue run rate exceeded $20 billion, more than doubling year-over-year.

    Concerns

    4

    • Family Daily Active People (DAP) declined slightly due to Internet disruptions in Iran and restrictions in Russia.

    • Reality Labs revenue decreased 2% year-over-year to $402 million due to lower Quest headset sales.

    • Capital expenditures forecast for FY26 increased by $10 billion to $20 billion, primarily due to higher component costs, particularly memory pricing.

    • Unrealized losses on equity investments resulted in negative $1.1 billion in interest and other income.

    Guidance & targets

    4
    CategoryTargetConfidence
    Second quarter 2026 total revenue
    $58 billion to $61 billion
    high materiality
    High
    Full year 2026 total expenses
    $162 billion to $169 billion
    high materiality
    High
    Full year 2026 capital expenditures
    $125 billion to $145 billion
    high materiality
    High
    Tax rate for remaining quarters of 2026
    13% and 16%
    medium materiality
    High

    Segment performance

    2
    SegmentRevenueYoYQoQMargin
    Family of Apps
    Revenue growth driven by ad performance improvements, better macro conditions, and currency tailwinds. Other revenue growth primarily from WhatsApp paid messaging and subscriptions.
    Ad revenue: $55 billionAd revenue growth (constant currency): 29%Other revenue: $885 millionOther revenue growth: 74%
    		$55.9 billion33%——
    Reality Labs
    Revenue decline due to lower Quest headset sales, partially offset by strong growth in AI glasses revenue.
    		$402 million-2%——

    Operational metrics

    30
    Family Daily Active People (DAP)
    3.56 billiondeclined slightly from December
    March

    Decline due to Internet disruptions in Iran and restriction on WhatsApp in Russia. Absent these impacts, growth would have been positive quarter-over-quarter.

    Total ad impressions served
    19%YoY increase
    Q1

    Healthy impression growth across all regions, driven by engagement, users, and ad load optimizations.

    Global average price per ad
    12%YoY increase
    Q1

    Broad-based growth from ad performance improvements, better macro conditions, and currency tailwinds, partially offset by strong impression growth from lower monetizing regions.

    Total expenses
    $33.4 billion35% YoY increase
    Q1

    Driven mainly by infrastructure costs (depreciation, data center operating costs, third-party cloud spend) and employee compensation (technical hires, particularly AI talent).

    Employee count
    77,9001% decrease from Q4
    Q1 end

    Impact of headcount optimization efforts offset by hiring in priority areas of monetization and infrastructure.

    Operating income margin
    41%
    Q1

    Based on Q1 operating income of $22.9 billion.

    Interest and other income
    negative $1.1 billion
    Q1

    Driven by unrealized losses on equity investments.

    Tax rate
    negative 23%
    Q1

    Favorable impact from an $8.03 billion tax benefit, partially relieving a $15.93 billion noncash tax charge from Q3 2025. Absent benefit, tax rate would have been 14%.

    Net income (adjusted)
    $18.7 billion
    Q1

    Net income would have been $18.7 billion, absent the tax benefit.

    EPS (adjusted)
    $7.31
    Q1

    EPS would have been $7.31, absent the tax benefit.

    Capital expenditures
    $19.8 billion
    Q1

    Includes principal payments on finance leases, driven by investments in servers, data centers, and network infrastructure.

    Cash and marketable securities
    $81.2 billion
    Q1 end

    Balance at the end of the quarter.

    Debt
    $58.7 billion
    Q1 end

    Balance at the end of the quarter.

    Instagram Reels time spent
    10%lift
    Q1

    Driven by ranking improvements.

    Facebook total video time
    8%globally increased
    Q1

    Largest quarter-over-quarter gain in 4 years.

    Facebook US and Canada video watch time
    9%increase
    Q1

    Driven by ranking improvements.

    Same-day posts in recommended reels
    more than 30%more than double 1 year ago
    Q1

    Reflects increased diversity and recency of recommended content.

    Users watching AI translated videos weekly
    over 0.5 billion
    weekly

    Enables recommendation of a more diverse set of content.

    Meta AI sessions per user
    double-digit percentincreases
    Q1

    Following the broad rollout of the new Muse Spark model.

    Conversion rate for landing page view ads
    more than 6%increase
    Q1

    Result of enhancements to ad systems.

    Conversion rates across major surfaces on Facebook and Instagram
    1.6%increase
    Q1

    Adaptive ranking model is an LLM scale ads recommender model.

    Business AI assistant common account issues resolution rate
    20%higher rate
    Q1

    Performance since testing began in Q4.

    Advertisers using Gen AI ad creative tools
    more than 8 million
    Q1

    Strong adoption among small- and medium-sized advertisers.

    Conversion rates for video generation feature
    more than 3%higher
    Q1

    Advertisers using this feature saw higher conversion rates in tests.

    Business AIs on WhatsApp weekly conversations
    more than 10 millionup from 1 million at start of year
    weekly

    Expanded to SMBs across Latin America and Indonesia, and Messenger in Asia Pacific. Will expand to more countries in Q2.

    Value optimization suite annual revenue run rate
    over $20 billionmore than doubling YoY
    annual

    Strong adoption following performance improvements over the past year.

    Partnership ads product revenue run rate
    $10 billionmore than doubling YoY
    annual

    Contributing to rapid growth in commerce efforts.

    Contractual commitments step-up
    $107 billion
    Q1

    Driven by multi-year cloud deals and infrastructure purchase agreements.

    Custom silicon deployment
    more than 1 gigawatt
    this year

    Part of increasing efficiency of infrastructure investments.

    Employee base reduction
    planned
    May

    Aims for a leaner operating model to move more quickly and offset substantial investments.

    Industry KPIs

    6
    MetricValueDetails
    Family dap dau3.56 billionusers
    CAPEX compute commitments$19.8 billionUSD
    Advertising revenue by segment$55 billionUSD
    Ai feature adoption monetizationdouble-digit percent%
    Custom silicon ai infrastructuremore than 1 gigawattGW
    Ad impressions growth vs average price per ad—

    Product announcements

    4
    ProductTypeDetails
    Muse family of models and Muse Sparklaunch
    Ray-Ban Meta opticslaunch
    Meta Ads AI Connectorslaunch
    Affiliate partnerships offering on Facebookexpansion

    Risks & headwinds

    4
    Internet disruptions and access restrictions impacting user growthQ1 FY26

    Small decrease in total family daily active people (DAP)

    Mitigation: Not explicitly stated, but growth would have been positive absent these impacts.

    Higher component costs for infrastructureFY26

    Increased FY26 CapEx forecast by $10 billion to $20 billion (from $115B-$135B to $125B-$145B)

    Mitigation: Focus on increasing efficiency of investments, rolling out custom silicon, and utilizing AMD chips.

    Legal and regulatory mattersFY26

    Scrutiny on youth-related issues, additional trials scheduled for this year in the U.S.

    Mitigation: Monitoring active legal and regulatory matters; potential for material loss.

    Unrealized losses on equity investmentsQ1 FY26

    Negative $1.1 billion in interest and other income

    Mitigation: Not explicitly stated.

    Q&A highlights

    8

    What signposts is Meta watching over the next 12-24 months to ensure a healthy ROIC on its significant AI CapEx and infrastructure spend?

    Mark Zuckerberg stated the focus is on building leading models and products that can scale to billions of people, then monetizing them. Key milestones include technical quality of models, product scaling, and then monetization efficiency. He expressed confidence in the lab's progress and the quality of Muse Spark and Meta AI.

    “The formula for our company has always been build experiences that can get to billions of people and focus on monetizing them once you get to scale.”

    asked by Brian Nowak · answered by Mark Zuckerberg

    2 min read6 chapters

    Detailed Narrative

    01

    AI Progress and Vision for Personal Superintelligence

    Meta achieved a significant milestone with the release of its Muse family of models and Muse Spark, the first from Meta Superintelligence Labs, positioning Meta AI as a world-class assistant. Mark Zuckerberg articulated a vision for 'personal superintelligence,' where AI amplifies individual capabilities rather than replacing them, focusing on personal and business agents. The company is already training more advanced models and testing early versions of business AIs, which have seen weekly conversations grow 10x since the start of the year.

    02

    Infrastructure Investment and Efficiency

    Meta is increasing its infrastructure CapEx forecast for FY26 due to higher component costs, particularly memory pricing, but expresses confidence in these investments for AI development. The company is focused on increasing efficiency, rolling out over 1 gigawatt of custom silicon developed with Broadcom, and utilizing AMD chips alongside NVIDIA systems. Multi-year cloud deals and infrastructure purchase agreements led to a $107 billion step-up in contractual commitments this quarter, supporting future model training and inference capacity.

    03

    Recommendation Systems Enhancements

    Significant gains were reported from content recommendation initiatives, with Instagram Reels time spent up 10% and Facebook total video time up over 8% globally in Q1. These improvements stem from doubling the length of user interaction sequences for training, increasing the richness of user interaction descriptions, and speeding up ranking model indexing. AI is also used for auto-translating and dubbing videos, with over 0.5 billion users on Facebook and Instagram watching AI-translated videos weekly.

    04

    Monetization Efficiency and AI in Ads

    Meta is deploying AI more deeply across its ad systems to improve performance, including enhancements to Lattice's modeling and GEM architecture, driving over 6% increase in conversion rates for landing page view ads. The adaptive ranking model, an LLM-scale recommender, expanded coverage to off-site conversions, resulting in a 1.6% increase in conversion rates. The Meta AI business assistant has fully rolled out to eligible advertisers, resolving common account issues 20% faster, and over 8 million advertisers are using Gen AI ad creative tools.

    05

    Commerce Initiatives and Creator Economy

    The company is expanding its commerce solutions beyond ads, with partnership ads revenue run rate more than doubling year-over-year to $10 billion in Q1. Meta rolled out an affiliate partnerships offering on Facebook to test partners, allowing creators to tag products and earn commissions, with similar experiences being tested on Instagram. This strategy aims to help people discover and buy products more easily within Meta's services, leveraging deep AI integration.

    06

    Workforce Optimization and Productivity

    Meta ended Q1 with over 77,900 employees, a 1% decrease from Q4, reflecting ongoing headcount optimization efforts offset by hiring in priority areas like AI. The company plans to further reduce its employee base in May, aiming for a leaner operating model to move faster and offset substantial AI investments. Management believes AI tools will substantially increase productivity, enabling the organization to build more products and services.

    AI-generated summary of the company’s earnings call. Not investment advice.