Anthropic Projects $10.9 Billion Q2 Revenue, Eyeing First Profitable Quarter
Updated
Updated · CNBC · May 20
Anthropic Projects $10.9 Billion Q2 Revenue, Eyeing First Profitable Quarter
8 articles · Updated · CNBC · May 20
$10.9 billion in second-quarter revenue would give Anthropic its first profitable quarter, according to a person familiar with the company’s internal figures.
Revenue already reached $10 billion in 2026 after $4.8 billion in the first quarter alone, showing sales more than doubled within months.
Claude’s enterprise and developer traction, plus a sharp rise in consumer use, drove the surge but also strained infrastructure and forced Anthropic to secure more computing capacity.
A SpaceX deal signed earlier this month gives Anthropic all capacity at the Colossus 1 data center in Memphis for $1.25 billion a month through May 2029.
The growth comes as Anthropic seeks funding at a $900 billion valuation and weighs a 2026 IPO, while rival OpenAI is valued above $850 billion and may file for an IPO within days.
Burning $1.25 billion monthly on computing, can Anthropic's meteoric rise avoid a spectacular collapse?
With its new AI finding flaws in global software, can Anthropic prevent a catastrophic cyber incident?
A private AI holds the keys to national cyber defense. Who has the upper hand: Anthropic or the Pentagon?
Anthropic’s $10.9B Q2 Profit Milestone: Enterprise AI Leadership, Soaring Valuation, and IPO Ambitions
Overview
In Q2 2026, Anthropic achieved its first profitable quarter, marking a historic financial turnaround. This success was driven by strong revenue growth and a surge in business AI adoption, where Anthropic began to surpass competitors like OpenAI. Strategic moves, such as acquiring Stainless, further strengthened its capabilities and enhanced offerings for enterprise clients. These achievements boosted market confidence, leading to a sharp rise in the probability of Anthropic reaching a high valuation by year-end. Together, these factors highlight Anthropic’s rapid ascent and growing influence in the competitive AI landscape.