Google Cloud has just reported a standout quarter, with its growth accelerating once again.
The division's revenue for the first quarter of 2026 hit $20 billion, a massive 63% increase from the previous year. Even more impressively, its backlog—the total value of signed contracts for future work—nearly doubled in a single quarter, rocketing from about $240 billion to over $460 billion. This means Google Cloud now has a pipeline of committed revenue equivalent to nearly six years of its current operations.
This performance is particularly noteworthy when compared to its main rivals. During the same period, Microsoft's Azure grew by 40% and Amazon's AWS by 28%. While the entire cloud market is lifted by the AI boom, Google's faster acceleration suggests its specific offerings, like the Gemini AI models and specialized TPU hardware, are successfully winning over major enterprise clients.
So, what's driving this incredible momentum? First and foremost is the AI infrastructure super-cycle. Companies worldwide are scrambling to secure the massive computing power needed to train and run artificial intelligence models. This isn't just about short-term needs; they are signing long-term, multi-year contracts, which is causing backlogs across the industry to swell.
Second, a critical scarcity of resources is pulling this demand forward. There's a global shortage of essential components like HBM memory chips and a growing bottleneck in the power grids needed to run massive data centers. Faced with the risk of not having enough capacity tomorrow, businesses are pre-booking their cloud resources years in advance, further inflating Google's backlog.
Finally, strategic partnerships are playing a key role. For example, Google's expanded collaboration with Oracle makes it easier for large enterprises to move their crucial database workloads to Google Cloud and pair them with Google's AI tools. These integrations have helped secure a wave of large-scale deals, contributing directly to the explosive growth in committed contracts.
- Glossary:
- Backlog/RPO: Remaining Performance Obligation (RPO), or backlog, represents the total value of contracted revenue that has not yet been recognized. It's a key indicator of future sales.
- Hyperscaler: A term for the largest cloud computing providers, namely Google Cloud (GCP), Microsoft Azure, and Amazon Web Services (AWS), known for their massive scale.
- TPU (Tensor Processing Unit): Custom-designed chips by Google to accelerate AI and machine learning workloads, offering an alternative to GPUs.