Booking Holdings Q2 Revenue Rises 8% as Merchant Bookings Reach 73%

Booking Holdings reported second-quarter 2026 revenue of $7.4 billion, up 8% year over year, and gross bookings of $51.0 billion, up 9%, with merchant bookings accounting for about 73% of total gross bookings. The company said traffic from large language models remained below 1% of room nights, while it deployed voice AI across most eligible inbound traveler calls and used automation in customer service to reduce costs and friction.

Booking Holdings Q2 Revenue Rises 8% as Merchant Bookings Reach 73% Booking Holdings reported on August 4 that second-quarter revenue rose 8% to $7.4 billion and gross bookings rose 9% to $51 billion. Merchant bookings accounted for about 73% of the total, while PYMNTS reported that traffic from large language models remained below 1% of room nights and that Booking is using AI to reduce service costs and transaction friction. Booking Holdings reported second-quarter 2026 revenue of $7.4 billion , up 8% from a year earlier, and gross bookings of $51.0 billion , up 9%. Room nights rose 5% to 325 million, according to the company's August 4 earnings release filed with the Securities and Exchange Commission. The filing shows $37.0 billion in merchant gross bookings, or roughly 73% of total gross bookings. In merchant transactions, Booking generally processes the customer payment rather than only passing a reservation to the travel provider. That gives the company a larger role in checkout, settlement, refunds and support. AI discovery is not yet the booking channel PYMNTS reported from the company's earnings call that traffic from large language models remained below 1% of room nights. That figure suggests AI assistants are influencing travel research faster than they are displacing the transaction layer that confirms inventory, applies cancellation terms, handles payment and supports customers when plans change. The same reporting said Booking has deployed voice AI across most eligible inbound traveler calls and is using automation and real-time agent assistance in customer service. Those are operational uses inside the company's existing platforms, not evidence that an external chatbot can complete the full travel transaction independently. The connected-trip strategy Booking's broader strategy is to connect accommodations with flights, rental cars, attractions and other services. PYMNTS reported that transactions containing more than one travel category grew in the low double digits during the quarter and expanded more than twice as fast as Booking.com's overall transaction volume. For data and AI teams, the distinction is practical: recommendation quality is only one part of a production travel system. Inventory synchronization, identity, payments, supplier communications, customer service and exception handling determine whether an itinerary can become a completed trip. Booking's second-quarter numbers show why the company is investing in AI while also strengthening the commercial infrastructure around the transaction. The earnings release provides the audited operating metrics used here. The call-specific AI and connected-trip details are attributed to PYMNTS; Booking did not quantify model accuracy, service-resolution rates or the standalone financial return from those AI deployments in the retrieved public filing. Key Points - 1Booking Holdings reported $7.4 billion in second-quarter revenue and $51.0 billion in gross bookings, up 8% and 9% year over year. - 2Merchant gross bookings were about 73% of the total, increasing Booking's role in payments, settlement and transaction support. - 3PYMNTS reported that LLM traffic remained below 1% of room nights while Booking applied AI inside customer service and supplier workflows. Scoring Rationale The quarter provides concrete evidence of how a major travel platform is combining AI-assisted discovery and service automation with payments and transaction infrastructure, although Booking disclosed limited technical performance data. Sources Primary source and supporting public references used for this report. Practice with real Payments data 90 SQL & Python problems · 15 industry datasets 250 free problems · No credit card See all Payments problems /problems/datasets/payments