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META
Meta Platforms
Earnings
META | Earnings Review
| Metric | Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 | Q1 2025 | Q2 2025 | Q3 2025 | Q4 2025 | Q1 2026 |
|---|---|---|---|---|---|---|---|---|---|
| FoA Advertising rev | $35.6B | $38.3B | $39.9B | $46.8B | $41.4B | $46.6B | $50.1B | $58.1B | $55.0B |
| FoA Advertising rev YoY % | - | - | - | - | +16.2% | +21.5% | +25.6% | +24.3% | +32.9% |
| Family of Apps rev | $36.0B | $38.7B | $40.3B | $47.3B | $41.9B | $47.1B | $50.8B | $58.9B | $55.9B |
| Family of Apps rev YoY % | - | - | - | - | +16.3% | +21.8% | +25.9% | +24.6% | +33.4% |
| Reality Labs rev | $440M | $353M | $270M | $1.1B | $412M | $370M | $470M | $955M | $402M |
| Reality Labs rev YoY % | - | - | - | - | -6.4% | +4.8% | +74.1% | -11.8% | -2.4% |
| Total revenue | $36.5B | $39.1B | $40.6B | $48.4B | $42.3B | $47.5B | $51.2B | $59.9B | $56.3B |
| Total revenue YoY % | - | - | - | - | +16.1% | +21.6% | +26.2% | +23.8% | +33.1% |
| FoA op income | $17.7B | $19.3B | $21.8B | $28.3B | $21.8B | $25.0B | $25.0B | $30.8B | $26.9B |
| FoA op income YoY % | - | - | - | - | +23.2% | +29.1% | +14.6% | +8.6% | +23.6% |
| Reality Labs op loss | $-3.8B | $-4.5B | $-4.4B | $-5.0B | $-4.2B | $-4.5B | $-4.4B | $-6.0B | $-4.0B |
| Reality Labs op loss YoY % | - | - | - | - | +9.5% | +0.9% | +0.1% | +21.2% | -4.3% |
| Diluted EPS | $4.71 | $5.16 | $6.03 | $8.02 | $6.43 | $7.14 | $1.05 | $8.88 | $10.44 |
| Diluted EPS YoY % | - | - | - | - | +36.5% | +38.4% | -82.6% | +10.7% | +62.4% |
| Family DAP (B) | 3.2x | 3.3x | 3.3x | 3.4x | 3.4x | 3.5x | 3.5x | 3.6x | 3.6x |
| Family DAP (B) YoY % | - | - | - | - | +5.9% | +6.4% | +7.6% | +6.9% | +3.8% |
Trajectory: Best advertising re-acceleration in cohort. Advertising YoY stair-stepped from +16.2% (Q1'25) to +33.0% (Q1'26) — fastest growth since Q3 2021. Total revenue followed: +16.1% → +33.1%. Q1'26 jumped +930 bps QoQ in revenue YoY growth, the biggest single-quarter acceleration in this 9-quarter window. The acceleration is broad-based — advertising, Family of Apps total all moving together. BUT: FoA op margin path is deteriorating (51.9% → 48.1% over 4 quarters = -380 bps), and DAP YoY growth softened from +6.9% (Q4'25) to +3.8% (Q1'26) — first deceleration. The story is now ARPU-led not engagement-led: revenue +33% on DAP +3.8% = significant ARPU expansion, validating AI ad ranking. Q3'25 EPS print of $1.05 reflects a one-time tax/legal item; Q1'26 EPS of $10.44 includes an $8.03B tax benefit — clean EPS ~$7.31.
Beat/Miss
Guidance
Catalysts
Street Q&A
Contradictions
Read-Throughs
| Metric | Consensus | Actual | Variance | Read |
|---|---|---|---|---|
| Revenue | $55.49B (Zacks/IBES) | $56.31B | +$820M / +1.5% | Beat |
| Total revenue YoY | n/a | +33.1% | — | Fastest growth since Q3 2021 |
| Advertising revenue | $54.36B | $55.02B | +$660M / +1.2% | Beat — +33% YoY |
| GAAP Diluted EPS | $5.27 (Bbg) | $10.44 | +$5.17 / +98% | Beat — but $8.03B one-time tax benefit |
| EPS clean (ex tax benefit, est.) | $5.27 | ~$7.31 | +$2.04 / +39% | Beat — clean read |
| FoA op income | ~$25.5B | $26.90B | +$1.4B | Beat |
| Reality Labs op loss | -$4.5B | -$4.03B | +$470M | Better than feared |
| FoA op margin | ~49% | 48.1% | -90 bps vs est. | Slight miss |
| Capex (Q1 incl. fin. leases) | ~$17B | $19.84B | +$2.8B | Higher than estimated |
| FY26 Capex Guide | $115–135B | $125–145B | +$10B at midpoint | RAISED — biggest cohort re-step |
| DAP (Family) | ~3.55B | 3.56B | In-line | Slight softening vs Q4'25 |
| L8Q rev beat rate | — | 7/8 = 88% | — | Consistent Beater |
| L8Q advertising beat rate | — | 8/8 = 100% | — | Cleanest beat-rate streak in cohort |
| Metric | Prior View | New Frame (Q1'26) | Direction | Read |
|---|---|---|---|---|
| FY2026 Capex (incl. fin. leases) | $115–135B | $125–145B | +$10B midpoint | RAISED — biggest cohort re-step |
| FY26 expense growth | Mid-teens% | Reaffirmed mid-teens; D&A re-stepped higher | Confirmed elevated | Margin pressure intact |
| Reality Labs op losses (FY) | "Meaningfully higher" | Reaffirmed | Same — $4B/Q ~floor | Watch item |
| Advertising tone | Strong, AI-led | "Highest growth since Q3 2021" | Stronger | Confidence inflection |
| Headcount | Slowing | Slowed; AI talent additions ongoing | Moderating | Smaller op margin headwind |
| Q2'26 revenue range (typical) | n/a | implied $58–60B (Street) | Implies +25–28% YoY | Constructive |
| DAP trajectory | Steady growth | +3.8% YoY (vs +6.9% Q4'25) | First deceleration | Watch |
| AI capex ROI framing | Building infrastructure for AI | "Necessary to win the AI consumer experience" | Less ROIC-disciplined than GOOGL | Higher trust requirement |
| # | Catalyst | Timing | Watch | Read |
|---|---|---|---|---|
| 1 | Q2 2026 print | Late July 2026 | Capex pacing vs $125-145B; FoA op margin direction; DAP trajectory | Critical confirmation print |
| 2 | Connect 2026 | Sep 2026 | Reality Labs strategy; Quest 4 / Ray-Ban Meta v2 | Annual hardware/AI consumer narrative |
| 3 | Llama 4 + Meta AI scale | 2026 | MAU + monetization framework | AI consumer flywheel |
| 4 | DAP re-acceleration signal | Quarterly | Whether 3.8% YoY re-accelerates | First deceleration in window |
| 5 | EU DMA enforcement | 2026 | App Store / messaging interop costs | Regulatory tax |
| 6 | Reels monetization gap closing | 2026 | CPM convergence with Feed | Multi-billion incremental revenue |
| 7 | WhatsApp Business / Threads ad ramp | 2026 | New ad surface materialization | Underdiscussed lever |
| 8 | AI capex ROI proof | 2026-2027 | Whether $135B+ capex shows up in monetization | Bear-case anchor |
| 9 | Reality Labs stabilization | 2026-2027 | Op loss capping at ~$5B/Q | Cap on the drag |
| 10 | Antitrust / WhatsApp divestiture risk | 2026+ | DOJ FTC trial outcomes | Tail risk |
| # | Analyst (Firm) | Topic | Mgmt Response | Quality |
|---|---|---|---|---|
| 1 | Brian Nowak (Morgan Stanley) | ROIC signposts on AI / capex investment | Zuckerberg: watching 3 milestones — model quality, product scaling, then monetization. "Quite comfortable that the lab is on track to be a leading lab." No precise plan, just "the shape of where these things need to be" | Soft / philosophical |
| 2 | Mark Shmulik (Bernstein) | Team focus split (training vs shipping); 2027 capex framing | Zuck: research climbing scaling ladder, product team "unlocked" to build on own models. Li explicitly declined 2027 capex; admitted: "we have continued to underestimate our compute needs even as we have been ramping capacity significantly" | High — the underestimate quote is the key tell |
| 3 | Eric Sheridan (Goldman) | Agentic compute opportunity: consumers vs SMB/enterprise | Li: nearer-term = ad personalization + SMB customer engagement; longer-term = agent-to-agent commerce. Business AIs "currently free for most businesses… we expect that we will also work towards establishing a longer-term monetization model" | Medium |
| 4 | Youssef Squali (Truist) | EssilorLuxottica brand cadence + RIF rationale | Li: demand strong, mix shifting to latest gen Ray-Ban Meta; "strong interest now in the Meta Ray-Ban displays with the Meta neuralbands." RIF: no optimal headcount target, leveraging AI for "accelerating output from our engineers" | Medium |
| 5 | Justin Post (BofA) | MuSpark cadence; what next 9 months looks like | Zuck: won't share competitively; quality > date. "There aren't that many [agents] that I would want to give to my mother." Teams "make meaningful progress like day over day" | Medium-High (mom quote) |
| 6 | Ross Sandler (Barclays) | Open-source/Pi/Dreamer competition; recursive self-improvement | Zuck: those are "pretty rough systems today" — Meta's job is the polished, pre-configured billions-scale version. Self-improvement "table stakes"; "people conflate coding with self-improvement more than they should" | High — competitive framing |
| 7 | Ron Josey (Citi) | Personal agent timing; ranking-rec runway | Zuck: "this year is going to be a key period for establishing [agents] as the vehicle." Li: long roadmap on ranking — sequence-length doubling is "1 of really many improvements," LLM-based natural-language feedback in feed coming | High on ranking detail |
| 8 | Doug Anmuth (JPMorgan) | LLM-scale models in ads stack; Manus deal status | Li on Manus: "still working through the details. So we don't have an update right now." On ads: adaptive ranking model now leverages "LLM scale model complexity of 1 trillion parameters" while keeping sub-second latency | High — 1T-param ads model is new |
| 9 | Ken Gawrelski (Wells Fargo) | Shopping vertical of MuSpark; visibility on core ads outperformance | Zuck: empowering-individuals manifesto; "I don't hear any other labs out there talking about how they're building an AI that's really good at shopping." Li: ROI-based budgeting "quite dialed in" | Medium (Zuck philosophical) |
| # | Topic | Severity | Statement A | Statement B | Why it's a tension |
|---|---|---|---|---|---|
| 1 | Top-line acceleration vs FoA op margin compression | Moderate — central tension | Revenue +33% YoY (best since Q3 2021); advertising +33%; AI ranking working | FoA op margin -380 bps YoY (48.1% vs 51.9% PY) — 4th consecutive Q of margin pressure | AI infrastructure depreciation flowing through ahead of monetization gains. If AI ad ranking effects persist, margin can recover later in 2026. Watch: if revenue decelerates in Q3 while margin keeps compressing, the AI capex story breaks. Q1'26 is positive for the bull case but margin compression magnitude (-380 bps on +33% revenue) is uncomfortable. |
| 2 | Capex raise (+$10B) vs supply-constrained narrative across cohort | Moderate | META raised FY26 capex $115-135B → $125-145B (biggest re-step in cohort) | GOOGL/MSFT/AMZN use "supply-constrained" language to justify spending | META's revenue is mostly advertising (no third-party Cloud business) — capex is for internal AI consumer + ad-ranking workloads. Less third-party demand justification, more "we need to win the consumer AI race" framing. Capex case rests on (a) AI ad ranking durability, (b) Llama 4 + Meta AI consumer monetization, (c) Reality Labs catching up. Read: capex more speculative than at cloud-selling peers — bigger asymmetry on ROI. |
| 3 | DAP softening vs ARPU narrative | Minor | Bull case: stable engagement + AI-driven ARPU lift = revenue acceleration | Q1'26 DAP +3.8% YoY (vs +6.9% Q4'25) | Q1 partially confirms thesis: revenue +33% with DAP only +3.8% → ARPU explosion. But DAP deceleration is first sign engagement may plateau. Ad price elasticity asymmetric — harder to keep raising ARPU when audience flat. |
| Name | Relationship | What META signaled | Read-through |
|---|---|---|---|
| NVIDIA (NVDA) | Supplier | $135B capex midpoint = MASSIVE ongoing GPU demand | POSITIVE — biggest single-print upgrade for NVDA today |
| Broadcom (AVGO) | Custom silicon (MTIA) | META Training & Inference Accelerator scaling | POSITIVE |
| The Trade Desk (TTD), Magnite (MGNI), PubMatic (PUBM) | Adjacent ad-tech | META +33% confirms digital ad acceleration broadly | POSITIVE — best macro signal of week |
| Google (GOOGL) | Ad peer | META +33% > GOOGL Search +19% — META taking share | YELLOW for GOOGL relative |
| Snap (SNAP), Pinterest (PINS), Reddit (RDDT) | Ad platform peers | Acceleration validates social ad demand | POSITIVE for all 3 |
| Amazon (AMZN) | Ad peer | AMZN advertising +24% vs META +33% | Mixed — both winning, META taking share |
| Apple (AAPL) | iOS / ATT relationship | META advertising recovered fully from ATT impact | Neutral-positive AAPL Services |
| Microsoft (MSFT) | AI infra peer | Cross-validates AI compute demand | Positive for cloud peers |
| Power IPPs (CEG, VST, TLN, NEE) | Energy supply | $135B capex implies massive power needs | STRONGEST POSITIVE read of cohort |
| Datacenter REITs (DLR, EQIX) | Capacity | META still expanding owned + leased | POSITIVE |
| Networking (ANET, JNPR) | Infrastructure | Capex flow-through | POSITIVE — ANET biggest beneficiary |
| Cooling / power equipment (VRT, ETN) | Datacenter | Capex flow-through | POSITIVE |
| Roblox (RBLX), Unity (U) | Reality Labs ecosystem | RL spend continues | Mixed |
| EssilorLuxottica (EL.PA) | Ray-Ban Meta partner | RL revenue $402M includes glasses | POSITIVE — Ray-Ban Meta is the RL bright spot |
| WPP, OMC, IPG (ad agencies) | Ad spend channel | META ad demand strong | POSITIVE |
| Shopify (SHOP), Etsy (ETSY) | Ad customers | DTC merchants benefiting from Andromeda | POSITIVE |
| TikTok / ByteDance (private) | Social/ad competitor | META not losing share — accelerating | Mixed — META competing effectively |
| AMD | Silicon supplier (new disclosure scale) | "Significant amount of AMD chips" deployed alongside Nvidia — first time AMD called out at this scale on a META call | POSITIVE — AMD now a 3-vendor accelerator anchor at META |
| NVIDIA (NVDA) | Silicon supplier | "New NVIDIA systems we're rolling out" — referenced as the baseline alongside MTIA + AMD | POSITIVE — share with AMD/MTIA but absolute volume rising |
| EssilorLuxottica (EL.PA) | Ray-Ban Meta partner | Latest-gen Ray-Ban Meta mix shift; "Meta Ray-Ban displays with the Meta neuralbands" flagged as next-gen consumer SKU | POSITIVE |
| Manus (private) | Pending deal | Anmuth asked about strategic importance — Li: "still working through the details. So we don't have an update right now" | Pending — confirms active but unclosed transaction |
| OpenClaude / Pi / Dreamer | Consumer-agent competitors | Zuck dismissed as needing terminal/local install, not addressable to billions; Dreamer characterized as "recently acquired" | Competitive framing — META differentiated |
| Iran / Russia | Geographic DAP impact | Named as specific drivers behind Q/Q DAP dip (Iran internet outages, Russia WhatsApp block) | Explains DAP softness — not company fundamental |
| MuSpark / Muse family (MSL) | First MSL model | Now powering Meta AI in DM threads + standalone Meta AI app/website; driving "double-digit %" increase in Meta AI sessions per user | Internal positive — MSL productizing |
| Meta ads AI connectors | Open beta | Lets advertisers connect Meta ad accounts to third-party AI agents; extends marketing API to agentic | Positive — agentic ad-tech surface area |
Data sourced from Daloopa. Document search is currently in beta; transcript and filing snippets may vary.