Thanks, Dave. We are reporting $213.4 billion in revenue, up 12% year over year excluding the impact from foreign exchange rates. Operating income was $25 billion, and trailing twelve-month free cash flow was $11.2 billion. We are seeing strong growth, and with the incremental opportunities available to us in areas like AI, chips, low earth orbit satellites, quick commerce, and serving more consumers' everyday essentials needs, we have a chance to build an even more meaningful business in Amazon.com, Inc. in the coming years. With strong return on invested capital, and we are investing to do so. We are already seeing strong demand in these areas even in these early innings. I'll start with AWS. AWS growth continued to accelerate to 24%, the fastest we've seen in thirteen quarters.
Up $2.6 billion quarter over quarter and nearly $7 billion year over year. AWS is now a $142 billion annualized run rate business. And our chips business, inclusive of Graviton and Tranium, is now over $10 billion in annual revenue run rate growing triple-digit percentages year over year. As a reminder, it's very different having 24% year-over-year growth on a $142 billion annualized run rate than to have a higher percentage growth on a meaningfully smaller base which is the case with our competitors. We continue to add more incremental revenue and capacity than others, and extend our leadership position.
We are continuing to see strong growth in core non-AI workloads as enterprises return to focusing on moving infrastructure from on-premises to the cloud, along with AWS having the broadest functionality, strongest security and operations performance, and most vibrant partner ecosystem. AWS continues to earn most of the big enterprise and government transitions to cloud. Since our last call, we announced new agreements with OpenAI, Visa, MBA, BlackRock, Perplexity, Lyft, United Airlines, DoorDash, Salesforce, US Air Force, Adobe, Thomson Reuters, AT&T, S&P Global, National Bank of Canada, the London Stock Exchange, Choice Hotels, Accenture, Indeed, HSBC, CrowdStrike, and many more. More of the top 500 US startups use AWS as their primary cloud provider than the next two providers combined. We are adding significant EC2 core computing capacity each day, the majority of that new compute is using our custom CPU silicon Graviton. Graviton is up to 40% more price per than leading x86 processors and is used expansively by over 90% of AWS's top thousand customers. Graviton itself is a multibillion-dollar annualized run rate business growing more than 50% year over year. We consistently see customers wanting to run their AI workloads where the rest of their applications and data are. We are also seeing that as customers run large AI workloads on AWS, they are adding to their core AWS footprint as well. But the biggest reason that AWS continues to gain AI share is our uniquely broad top-to-bottom AI stack functionality. In AI, we are doing what we've always done in AWS, solving customer challenges. Let me give you some examples. The first challenge is having a strong foundation model to generate inferences or predictions. Customers are realizing as they get further into AI that they need choice.
As different models are better on different dimensions. In fact, most sophisticated AI applications leverage multiple models. Whether customers want frontier models like Anthropix Cloud, or open models like Miesztrall or Lama, Frontier Intelligence will lower cost and latency like Amazon Nova. Or video and audio models like twelve Labs or NovaSonic. Amazon Bedrock makes it easy to use these models to run inference scalably, and performantly. Bedrock is now a multibillion-dollar annualized run rate business, and customer spend grew 60% quarter over quarter.
The second challenge is how to hone the model for your application. Customers sometimes think if they have a good model, they will have a good AI application. It's not really true. It takes a lot of work to post-train and fine-tune a model for your application. Our SageMaker AI service along with fine-tuning tools in Bedrock make this much easier for customers.
A third challenge is how to have a custom version of a foundation that best leverages the company's secret sauce, their own data. To date, companies have tried to shape models with their own data late in the process, usually with fine-tuning or post-training. There's debate in the industry about this, but we believe that enterprises will want models trained on their own data at an early stage, at pre-training if possible, so their models have the best possible foundation for what matters most to each enterprise on which to learn and evolve.
It's a little like teaching a child a foreign language early in their life. That becomes part of their learning foundation moving forward and it makes it easier to pick up other languages later in their life. To solve for this need, we just launched NovaForge.
Which gives customers early checkpoints on our Amazon Nova models allows them to securely mix their own proprietary data with the model's data in the pre-training stage, and enables their own uniquely customized versions of Novo. What we call novellas, trained with their data early in the process. This will be very useful for companies as they build their own agents on top of the model. There is nothing else out there like this today and a potential game changer for companies. Another challenge is cost. I've said this many times, but if we want AI to be used as expansively as companies want, we have to make the cost of inference lower. A significant impediment today is the cost of AI chips. Customers are starving for better price performance and typically and understandably, the dominant early leaders aren't in a hurry to make that happen.
They have other priorities. It's why we built our own custom silicon in training. And it's really taken off.
We've landed over 1.4 million Tranium two chips our fastest ramping chip launch ever. Tranium two is 30 to 40% more price performance than comparable GPUs. It is a multibillion-dollar annualized revenue run rate business with a 100,000 plus companies using it is trading as the majority underpinning of Bedrock usage today. We recently launched Tranium three, which is up to 40% more price performance than Trainium two. We are seeing very strong demand for Tranium three and expect nearly all of our Tranium three supply of chips to be committed by mid-2026. And though we are still building Tranium four, we are seeing very strong interest already.
Looking ahead, the primary way companies will get value from AI is with agents. Some their own, some from others, and there are several customer challenges that we are well positioned to solve. It's harder to build agents than it should be. For that, we've built strands of service enabling agents to be created from any model. Once agents are built, enterprises are apprehensive about deploying to production because these agents need to securely and scalably connect to compute, data tools, memory, identity, policy governance, performance monitoring, and other elements. This is a new and hard problem where a solution has not existed until we launched Bedrock Agent Corp. Customers are quite excited about Agent Core, and it's unlocking deployments. Customers also want to leverage others' useful agents, and we've built several. Including Curo for coding, Amazon Quick for knowledge workers to leverage their own data and analytics, AWS Transform for software migration, and Amazon Connect for call center operations. We continue adding new capabilities, and usage continues to grow quickly. For example, the number of developers using Curo grew more than 150% quarter over quarter.
In addition to agents that customers direct, customers are also becoming excited about agents that require less human interaction. They can be fully autonomous, run persistently for hours or days, scale out quickly, and remember context. At this past AWS re:Invent, we launched Frontier Agents to do that. Kiro autonomous agents for coding tasks, AWS DevOps agents for detecting and resolving operational issues, and AWS security agents for proactively securing applications throughout the development life cycle, and they're already making a big difference for customers. We expect to invest about $200 billion in capital expenditures across Amazon.com, Inc., but predominantly in AWS, because we have very high demand. Customers really want AWS for core and AI workloads. And we are monetizing capacity as fast as we can install it. We have deep experience understanding demand signals in the AWS business and then turning that capacity into strong return on invested capital. We are confident this will be the case here as well.
I'll now turn to stores. We continue to expand selection, including more 400 new beauty brands in The US in 2025, like Bobbi Brown Cosmetics, Charlotte Tilbury, and Laura Mercier, and new fashion brands like Away Luggage, Converse, Diesel, Michael Kors, Nike, and The North Face. Our ultra-low priced offering, Amazon Hall, grew selection to over a million items under $10 in expanded to serve customers in more than 25 countries and regions. We continue to see strong customer response to everyday essentials and grocery. In 2025, everyday essentials grew nearly twice as fast as all other categories in The US, representing one out of three units sold in our store. And we've become a go-to grocery destination for over 150 million Americans.
Mostly through online shopping and Whole Foods. With over $150 billion in gross sales, Amazon.com, Inc. is clearly a large grocer at this point. Customers in thousands of US cities and towns can now get perishables delivered same day alongside millions of other items. And customers who use that service shop more than twice as often as customers who don't. We plan to expand in many more communities in 2026, and we also plan to open more than 100 new Whole Foods Market stores over the next few years as we work to make grocery shopping easier, and more affordable for customers. We remain committed to staying sharp on price. And continue to meet or beat other retailers' prices. A recent study from Profitero showed that Amazon.com, Inc. is America's lowest priced retailer for the ninth straight year. 14% lower on average than other major online retailers.
We again achieved our fastest ever delivery speeds for Prime members around the world in 2025. In The US, we delivered nearly 70% more items same day than the year before. We also continue increasing speed for rural customers with nearly two times more average monthly customers in rural areas receiving same day delivery year over year. Same day is our fastest growing delivery offering and nearly 100 million customers used it last year in The US.
And the team is continuing to innovate, We've launched Amazon now in India, Mexico, and The UAE. Ultrafast delivery on thousands of items in about thirty minutes or less. And we are testing it in several communities in The US and UK. It's early, but customers are loving it. For example, in India, customer response exceeded our most optimistic expectations, and we are seeing Prime members triple their shopping frequency once they start using it. Expanding our same day delivery coverage also leads to meaningfully later cutoff times for orders. Which is a big deal for customers. For example, on Christmas Eve, customers in about 4,000 US cities could order items up until midday and get them that same day.
Another example is our recently launched feature add to delivery. Which enables Prime members in The US to add items to their upcoming Amazon.com, Inc. deliveries with just one tap without going through checkout again or paying additional shipping fees. Just six months after launch, add to delivery already makes up about 10% of all Prime volume fulfilled through the Amazon.com, Inc. network each week. While this seems simple on the surface, this feature is supported by a lot of invention where we need to figure out in real time with incredibly low latency what items among Amazon.com, Inc.'s hundreds of millions of products are available to add to a customer's upcoming deliveries?
Surface them, find a way to include in their packages, and deliver within the same customer promise. The stores team is also continuing to innovate and deliver for customers with AI. Our AgenTik AI shopping assistant, Rufus, is rapidly expanded. Rufus can research products, track prices, and auto buy. Purchasing a product in our store when it reaches your set price. It can also now shop tens of millions of items in other online stores and make purchases for customers using our agentic buy for me feature. Last year, more than 300 million customers used Rufus. In addition, customers used Lens our AI powered visual search tool to find products with a phone's camera, a screenshot, or a barcode. And they did it 45% more year over year. Moving on to Amazon Ads. We are pleased with the continued strong growth across our full funnel offerings generating $21.3 billion of revenue in the quarter and growing 22% year over year. Sponsored products advertising in our store continues to be our largest ads offering, and the combination of trillions of shopping, browsing, and streaming signals with advanced AI and machine learning led us deliver highly relevant useful ads for customers. We saw continued growth in Prime Video ads. Which is now available in 16 countries and is contributing meaningfully to our revenue growth. Prime Video has an average ad supported audience of 315 million viewers globally, up from 200 million in early 2024. Our ads team is also innovating with AI. We recently announced our ads agent, which lets brands use AI to create non optimize campaigns at scale. Implement effective campaign targeting, and quickly create actionable insights. And our creative agent lets advertisers research brainstorm, and generate full funnel ad campaigns from concept to completion using conversational guidance in Amazon.com, Inc.'s retail data transforming what was a weeks long process into just hours. We are also continuing to invent and see momentum several other areas, and I'll mention just a few.
Starting with live sports on Prime. The fourth season of Thursday night football broke more records. It was our most watched season ever, averaging more than 15 million viewers, a 16% year over year increase, and a third consecutive year of double digit growth. And the packers versus bears wild card game was the most streamed NFL game in history with 31.6 million viewers clearing the prior mark by more than 4 million. We just made Alexa Plus available to all customers in The US, free for prime members and $19.99 a month for non prime members. Alexa Plus continues to get even better and more capable and we've added new ways to interact with Alexa, including a new chat experience at alexa.com, a redesigned mobile app, and new integrations with third party devices like Samsung TVs and BMW cars. We've also added new features like the ability to answer a ring doorbell on a customer's behalf, and more ways to shop or manage a home. And finally, the team is making rapid progress on Amazon LEO. Which will bring connectivity to consumers, enterprises, and governments in places where they don't have broadband connectivity. Our enterprise grade customer terminal, LEO Ultra, is the fastest satellite Internet antenna ever built. Delivering simultaneous download speeds of up to one gigabit per second upload speeds of up to 400 megabits per second. LEO will offer enterprise grade performance and advanced encryption with secure private networking that bypasses public Internet. Connecting directly to AWS. We've launched 180 satellites have more than 20 launches planned in 2026, more than 30 in 2027, and expect to launch commercially in 2026. We have dozens of commercial agreements already signed, including with AT&T, DIRECTV Latin America, JetBlue, and Australia's national broadband network. I have many more on the way. It's been an action-packed year of innovation and progress and we've hit the ground running in 2026. With that, I'll turn it over to Brian for a financial update.