CoreWeave Shares Trade Between $87.46 and $93.60
Shares of CoreWeave, Inc. (CRWV) fluctuated between $87.46 and $93.60 during intraday trading on August 11, 2026, with a market capitalisation hovering near $49.276 billion. The New Jersey-based company, which provides cloud infrastructure for artificial intelligence workloads, traded on no specific corporate news, reflecting a relatively calm day for the broader tech sector.
CoreWeave operates the CoreWeave Cloud platform, offering GPU compute, CPU compute, storage solutions, and tooling for AI development, including the Weights & Biases platform. The company, originally founded as Atlantic Crypto Corporation in 2017, rebranded in late 2019 to focus on high-performance computing for AI, machine learning, and visual effects rendering.
Despite the lack of an obvious catalyst, the stock’s intraday range suggests steady investor interest in a company positioned at the heart of the AI infrastructure race, where demand for GPU clusters remains elevated.
A Closer Look at CoreWeave’s Valuation and Financial Footprint
At an enterprise value-to-EBITDA multiple of 26.49x, CoreWeave carries a premium valuation that typically reflects high growth expectations. That multiple is not unusual among cloud and AI infrastructure peers that are scaling rapidly, but it leaves limited room for execution missteps.
Profitability in context. The company’s return on equity stood at -40.67%, signalling that heavy capital expenditure—likely on GPU servers and data centre build-outs—is weighing on bottom-line profitability. Negative ROE is common among capital-intensive growth firms, but it also highlights reliance on continued access to financing and sustained revenue expansion to eventually turn profitable.
Market cap snapshot. With a market cap of nearly $49.3 billion, CoreWeave is one of the larger players in the specialised AI cloud space, though it is significantly smaller than hyperscalers like AWS or Microsoft Azure. The valuation suggests investors are betting that CoreWeave’s purpose-built infrastructure will capture a meaningful share of AI training and inference workloads.
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