Airbnb, Inc. Q3 FY2026 earnings call

• Growth Acceleration: Airbnb is back in growth mode, recording its fastest revenue growth in over three years. Growth accelerated across all five core markets (US, France, UK, Canada, Australia) and expansion markets like Brazil (>30%) and India (>60%). First-time booker growth hit a multi-year high, driven largely by Gen Z.
• Operational Reorganization: The company restructured around a single roadmap, utilizing small, autonomous teams (inspired by 'Project Hawaii') to drive specific product improvements. This approach has generated hundreds of millions in incremental revenue for pricing and international expansion.
• AI Integration: AI has accelerated product development, with over 50 new features shipped in Q3. AI-driven efficiencies reduced customer support costs per booking by more than 17% YoY, resolving ~40% of issues without human agents. An AI-native travel agent is being developed to replace traditional chat interfaces.
• New Business Verticals: Hotels are growing markedly faster than the core business, serving as a funnel where ~35% of first-time hotel guests return to book homes within a year. Services like car rentals, meal delivery, and laundry are expanding rapidly.
• Strategic Partnerships: A major exclusive partnership with American Express launched in October, driving thousands of bookings with nearly 25% coming from new-to-Airbnb users and a higher share of luxury travelers.
• Product Innovations: Introduction of neighborhood pages in 1,500+ locations, social travel features (travel maps, friend connections), and a unified 15.5% service fee for hosts to improve transparency and competitiveness.

Revenue grew 19% year-over-year to $4.9 billion, significantly exceeding the high end of the outlook. Gross Booking Value (GBV) increased 21% to $27.7 billion, while Nights and Seats booked rose 16% to 155 million. Net income was $1.9 billion with a 39% net income margin. Adjusted EBITDA grew 22% year-over-year to $2.5 billion, reflecting an adjusted EBITDA margin of 52%, up from 50% in Q3 2025. The company generated $1.4 billion in free cash flow during the quarter.

• Q4 Revenue: Expected between $3.22 billion and $3.28 billion, representing 16%-18% year-over-year growth, including an approximate 2 percentage point FX tailwind.
• Q4 Take Rate: Management expects the implied take rate to increase slightly year-over-year compared to Q4 2025, reversing the downward pressure seen in Q3 due to Reserve Now Pay Later (RNPL).
• Full-Year 2026 Revenue: Raised outlook to high-teens year-over-year growth, up from previous mid-teens expectations.
• Full-Year 2026 Adjusted EBITDA Margin: Raised to approximately 36%, up from at least 35.5% previously expected.
• Outlook Maintenance/Revision: Both revenue and profitability guidance have been raised due to strong momentum, AI efficiencies, and successful product launches, despite difficult comparative periods in Q4.

• Geopolitical Instability: Management is closely monitoring ongoing unrest in Europe (specifically France) and conflict in the Middle East, though no material persistent impact is currently assumed for Q4.
• Reserve Now Pay Later (RNPL) Impact: While RNPL drives booking volume, it impacts working capital seasonality and increases cancellation rates (up 200-300 bps YoY). The net positive impact on nights booked is expected to decline sequentially in Q4 as cancellations from earlier bookings realize.
• Competitive Landscape: General-purpose AI agents pose a potential long-term risk if they become dominant, although management believes specialized vertical agents will win. Competition remains intense in the broader travel market.

Q: Analyst asked about dynamic pricing adoption and why the take rate is expected to rise in Q4 after declining in Q3. / A: Brian Chesky stated dynamic pricing is a massive lever that lowers prices for guests while increasing host occupancy and total revenue, though data release is pending. Elinor Mertz explained the Q3 take rate dip was due to RNPL increasing GBV before revenue recognition; this effect reverses in Q4, leading to a modest take rate increase supported by insurance and the single service fee transition.

Q: Analyst inquired about the hotel strategy's growth relative to core business and whether the AI agent will operate outside Airbnb's walls. / A: Brian Chesky noted hotels are growing much faster from a tiny base, aiming for billions in revenue by leveraging organic traffic and performance marketing. He confirmed the AI agent will integrate via MCPs to book external travel components (flights, cars) natively, creating a comprehensive trip-planning experience rather than just a text-based chatbot.

Q: Analyst asked about the exclusivity of Airbnb's inventory and how it factors into negotiations or agent strategies, plus insurance penetration. / A: Brian Chesky revealed over 60% of inventory is exclusive but emphasized absolute unique item count over percentage mix. He argued unique inventory creates stickiness regardless of commoditized services like car rentals. Elinor Mertz noted insurance attach rates are in single digits but growing materially with high margins.

Q: Analyst questioned how social discovery features change Airbnb's role pre-booking and if this leads to sponsored listings or loyalty programs. / A: Brian Chesky described social features as building a real-world social graph to increase trust and collaboration, particularly for Gen Z and empty nesters. Regarding ads, he deferred implementation until the AI agent launches, suggesting sponsored listings will be integrated into the new interface. He confirmed active consideration of a loyalty program to compete with other travel platforms.

Q: Analyst asked about early adoption of general AI agents (like Muse/Instinct) and if hotel bookings bring in new customers. / A: Brian Chesky reported negligible traffic/bookings from general agents yet, viewing them as discovery tools rather than threats because travel is a complex, visual, and collaborative project. Elinor Mertz confirmed hotel demand is consistent with overall platform trends, effectively onboarding new guests who prefer familiar hotel products before transitioning them to homes.