We just announced our Q3 earnings yesterday, delivering revenue of $301 Million and non-GAAP operating margins of 28.6% in the quarter, and we guided for the full year to come in at approximately $1.175 billion in revenue. A huge thanks to all our amazing 120,000+ customers, broad partner ecosystem, and Boxers for making these results happen.
I'm incredibly excited about the continued customer expansion with leading organizations across a variety of industries in the quarter, including Media & Entertainment (Sony Group Corporation and WPP Group), Public Sector (Department of Energy and Naval Air Systems Command), CPG (Bumble Bee Foods and Elf Cosmetics), Legal (Morgan, Lewis & Bockius and Williams & Connolly LLP), Financial Services (CCBank and KSL Capital Partners), Transportation (Tokyo Metro Co., Ltd.), and more.
What's driving this momentum is the demand we're seeing around AI agents for enterprise content. Enterprises are sitting on a massive amount of unstructured data in the form of contracts, research, financial documents, marketing assets, healthcare information, and more that contain incredibly valuable insights and information that they haven't been able to tap into.
For the first time, enterprises can ask any question of this content, turn it into structured data, automate workflows around it, and more. But this only works if you can keep your content secure, ensure AI only has access to the right information, and can integrate everywhere. At Box, we're building the end-to-end content AI platform for companies to tap into the full value of this content at scale.
Critically, we're doing this alongside a broad ecosystem. We work with any leading AI model that customers want to use with their data, including from OpenAI, Google, Anthropic, xAI, Meta and more. And we integrate with any AI systems that companies want to work from (and with), including Salesforce Agentforce, ChatGPT, Claude, IBM watsonx, Google Gemini, Copilot, ServiceNow AI Agent Fabric, Atlassian, AWS Bedrock, LangChain, and hundreds of other platforms and startups.
And what makes me most excited about the future of AI is that the vast majority of use-cases that we see from customers are around augmenting work in all new ways that weren't possible before. Companies aren't just automating what they were already doing, but instead increasingly bringing AI to the work they couldn't do before.
This could be a commercial real estate firm that's able to pull out trapped insights from their lease agreements, or a life sciences company automating quality processes in a drug manufacturing process, or a media and entertainment company capturing data from contracts to figure out more revenue opportunities for clients. In more and more cases, enterprises are realizing that the source of value for AI agents is their unstructured data.
We're incredibly excited about the journey ahead as AI will continue to transform work in the enterprise, and looking forward to an amazing Q4.
