Yahoo Finance names Anthropic Company of the Year on enterprise growth

Anthropic’s business growth has earned it a major endorsement, but not a settled verdict on its staying power. Yahoo Finance named the company its 2026 Company of the Year on November 12, crediting surging sales, larger business customers and Claude Code. Its assessment also highlights buyers’ growing interest in cheaper AI.

The business behind the selection

Yahoo Finance technology editor Daniel Howley’s assessment puts revenue at the center of the case. Anthropic generated $17 billion in its latest quarter, a 12-fold increase from a year earlier, he reported. Sales exceeded $33 billion for the nine months ended September 30, 2026.

Those are sales for completed periods, rather than an annualized estimate of a recent revenue pace. The latest quarter alone contributed roughly half of the nine-month total. That concentration shows how much of Anthropic’s reported business arrived in the most recent three months, even within an already fast-growing year.

The customer figures give that growth a second dimension. The number of customers spending more than $100,000 rose from roughly 1,500 in December 2025 to more than 11,900 by September 30, Howley reported. The measure tracks a defined group of high-spending customers, not Anthropic’s entire user base.

Coding anchors the enterprise case

Yahoo Finance identifies Claude Code, Anthropic’s AI coding tool, as a catalyst for that expansion. The selection credits a combination of the company’s models, its focus on business customers and the coding product, rather than attributing the results to model capabilities alone.

The product story now extends to Claude Cowork. Anthropic says customers are adopting it faster than they adopted Claude Code at its initial release, according to Howley.

Premium revenue, cheaper alternatives

The accompanying assessment is less certain about how long the growth can last. Wharton professor David Hsu praised the revenue expansion but questioned its durability, including how far improvements from scaling AI will extend and which additional fields the technology can serve well.

Cost is another pressure point. Howley describes enterprise buyers increasingly seeking savings, choosing less expensive models from Anthropic and other providers or cheaper open-weight alternatives, depending on their needs.

Bala’s forecast leaves room for both outcomes: broad use of open-weight models and a valuable premium business for Anthropic. He expects Anthropic’s models to serve complex work such as scientific discovery and cybersecurity. In that scenario, the company could capture a relatively small share of model usage but a much larger share of spending.