
Google has reported its financial results for the second quarter of 2026, achieving record business scale but posting negative free cash flow for the first time since its IPO. The culprit: sharply higher spending on artificial intelligence infrastructure, with Google pouring $44.9 billion into expanding its AI capabilities during the quarter.
Total revenue came in at $119.8 billion, exceeding analysts’ expectations. The primary revenue driver remained Google Search, which generated $63.3 billion. Google Cloud contributed $24.8 billion, a 23.8% increase from the previous quarter, fueled by rising demand for cloud-based AI services. Subscriptions, platforms, and devices brought in another $12.9 billion, while YouTube advertising added $11.1 billion.
AI infrastructure costs, however, continue to climb. At the start of the year, Google estimated its capital expenditures (for building and expanding infrastructure) at $180–190 billion for 2026, but has now revised that forecast upward to $205 billion. By comparison, the company spent $91 billion on these efforts in 2025.
Google’s operating cash flow in Q2 stood at $39.1 billion—up 40% from a year earlier. But after deducting the $44.9 billion in AI infrastructure spending, free cash flow turned negative, at minus $5.8 billion. Even so, the company remains profitable and holds over $100 billion in cash reserves, meaning this is not about losses but rather current investments outstripping available cash flow.
Investors responded by pushing Google’s stock price down roughly 4.5%. The company says elevated spending levels will persist: current capital expenditures are about six times higher than in 2022, before the AI boom took off. As costs for developing artificial intelligence rise across the industry, investors are increasingly scrutinizing how quickly these investments can translate into profit—especially with competition from other AI model developers intensifying.