OpenAI quarterly revenue reportedly crosses $10B for the first time

OpenAI’s quarterly revenue reportedly crossed $10 billion for the first time, according to TechCrunch, citing a Bloomberg report based on anonymous sources. The figure would represent an almost 50% jump from the $6.7 billion in sales the company reportedly recorded in the second quarter. TechCrunch ties the acceleration to strong demand for OpenAI’s recent AI models.

For readers tracking the AI market, the key takeaway is momentum: OpenAI appears to have moved from slower earlier-year growth into a much faster revenue phase. The report also frames the milestone as a rebound from the company’s earlier-year doldrums.

TechCrunch reports that OpenAI’s adjusted operating margin narrowed from -150% in the second quarter to -109% in the third quarter. That points to an improving profitability picture, even though the margin remains deeply negative.

The article says OpenAI has benefited from tighter pricing, discounts, improving models, and a bigger focus on enterprise-oriented products and AI agents that help users complete tasks. Watch whether those shifts keep improving margins while preserving growth.

TechCrunch notes that OpenAI’s gains have been measured against Anthropic, which has taken the lead in capturing the enterprise market for AI models. The article says Anthropic recently reported Q3 revenue of $17 billion, while OpenAI has reached an annual revenue run rate of $50 billion, according to Bloomberg.

TechCrunch also notes that Anthropic said its annual revenue run rate had increased by $10 billion within a month to $81 billion as of the end of October. The comparison is not perfectly direct: the article says OpenAI and Anthropic calculate annualized revenue differently, with Anthropic counting sales made by cloud partners while OpenAI reports only its share of some partner sales.

The reported OpenAI milestone shows how fast demand for AI models can translate into major revenue, but the competitive field remains crowded. TechCrunch lists Meta, Amazon, Microsoft, Google, and cheaper but capable open-source AI labs, especially from China, among the broader competitive pressures.

The practical lens for readers is simple: track revenue growth, enterprise traction, pricing power, and margin improvement together. A large top-line number matters more if it comes with sustainable economics and durable customer demand.