Two of the AI buildout's most closely watched suppliers, CoreWeave and Super Micro Computer, report earnings after Tuesday's closing bell, giving Wall Street its clearest look yet at whether soaring demand for AI computing can outrun the enormous costs of building it.
CoreWeave, the cloud provider that rents out Nvidia GPU capacity to AI developers, holds its call at 5 p.m. ET. Analysts are looking for revenue of roughly $2.55 billion to $2.56 billion, which would mark growth of 108% to 111% from the $1.21 billion the company posted a year earlier, according to TipRanks. Consensus estimates call for a per-share loss of roughly $1.22 to $1.45 as the company continues to spend heavily on GPUs and data-center capacity. The numbers that matter most may not be revenue at all: CoreWeave has built a $99.4 billion contracted revenue backlog and is guiding to $31 billion to $35 billion in 2026 capital spending, and investors want evidence that new customer commitments are keeping pace with that outlay.
Super Micro's Margin Recovery
Super Micro, which builds the servers and racks that house AI chips, reports its fiscal fourth-quarter results the same evening. The company has already told investors to expect revenue at the low end of a previously guided $11 billion to $12.5 billion range, but it also raised its adjusted gross margin forecast to 15% to 17%, sharply up from the 8.2% to 8.4% it projected as recently as May, according to FX Leaders. Wall Street consensus calls for earnings of $0.56 a share, up more than 80% year over year, on a backlog of new orders that topped $60 billion last quarter.
The margin recovery matters because it was Super Micro's biggest problem a year ago, when price competition and component costs squeezed profitability even as orders piled up. Analysts still rate the stock, up about 8% year to date but down more than 45% over the trailing 12 months, a cautious "Hold" on average, with mixed views on how durable the improved margins will prove.
Together, the two reports will offer investors a read on whether the AI infrastructure trade — which has powered much of this year's market gains — still has room to run, or whether ballooning capital spending is starting to catch up with the companies building it out.
