CoreWeave CEO: Market Irrationality Leads to Stock Price Decline
CoreWeave CEO Mike Intrator stated in an internal memo that the market is acting "irrationally" and the company remains confident in its business model.
The company's stock price fell by as much as 17% to $64.41, marking the largest intraday drop since February; prior to this, it had risen 8.7% year-to-date as of Tuesday's close.
The company's bond prices have significantly dropped to levels typically indicative of distress, with unsecured bonds maturing in 2032 trading below 80 cents.
Intrator mentioned that the company's backlog is sufficient to support its debt obligations, with a second-quarter revenue backlog of $104.2 billion and an additional net new customer commitment of over $25 billion in the third quarter.
He pointed out that difficulties and delays faced by some competitors in IPOs and debt financing are affecting the market narrative around CoreWeave.
Previously, a venture capitalist posted a chart on social media showing that the yield on the company's $1.25 billion bonds maturing in 2032 reached 15%, before closing at a high of 14.5%.
Who is buying: Investors focused on AI computing power demand and backlog contracts. Who is selling: Market participants concerned about high-leverage expansion and rising bond yields. Event-driven: The surge in bond yields triggered a simultaneous decline in stock and bond prices. Capital is flowing out of high-leverage AI cloud infrastructure. Beneficiaries are companies that can demonstrate backlog covering debt; pressured are peer platforms relying on high-cost debt expansion.
Source: Public Information
ABAB AI Insight
CoreWeave previously expanded its AI cloud infrastructure through significant debt financing to provide dedicated computing power for model training and inference, resulting in considerable stock price volatility since its IPO in March 2025. Its business model relies on long-term contracts from customers to support high capital expenditures.
On the capital front, the company raises funds through bond issuance and other debt instruments to build data centers while accumulating over $100 billion in revenue backlog. Resources are focused on debt-supported computing power expansion rather than relying on equity financing. The motivation is to capture the AI computing power demand window by locking in revenue through long-term contracts to cover debt costs.
Similar cases include other companies that have built data centers or cloud infrastructure through high leverage, facing refinancing pressures when interest rates or demand expectations change. The industry is currently in an expansion phase, with AI cloud service providers massively building capacity through debt, concentrating capital on providers that can convert contracts into cash flow.
Essentially, this is about capital concentration and technological substitution. The demand for AI computing power drives large-scale infrastructure construction, but rising debt costs are causing the market to reprice high-leverage models. The mechanism is that when bond yields rise close to 15%, refinancing costs increase, and the market spills over the financing difficulties of competitors to the company, making the credibility of backlog contracts the core of pricing, shifting from "demand-driven expansion" to "debt coverage capability-driven valuation."
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- Backlog contracts cover debt, and the market still prices based on yield.
- High-leverage expansion faces rising interest rates, with bonds reacting before equities.
- Competitors face financing obstacles, and the narrative spills over to peer companies.