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Cerebras stock drops 20% on margin guidance confusion

Manaal KhanJune 27, 2026 at 11:32 PM4 min read
Cerebras stock drops 20% on margin guidance confusion

Key Takeaways

Cerebras stock drops 20% on margin guidance confusion
Source: TechCrunch
  • Cerebras stock fell nearly 20% despite Q1 revenue of $193 million, up 94% year-over-year
  • Full-year gross margin guidance of 38-41% spooked investors compared to Q1's 47%
  • The company is renting back its own AI systems from a customer while building data center capacity

Cerebras Systems stock dropped nearly 20% on Wednesday, hitting levels close to its IPO price, after the AI chipmaker's first earnings report as a public company rattled investors with lower margin guidance. The sell-off came despite the company beating revenue expectations.

The problem? Cerebras guided for a full-year gross margin of 38% to 41%, a sharp drop from the 47% it posted in Q1. That gap sent shares tumbling to a new low. CEO Andrew Feldman insists investors got it wrong.

Investors had misunderstood the company's margin guidance.

— Andrew Feldman, CEO of Cerebras Systems, speaking to CNBC

Why is Cerebras renting back its own hardware?

The margin squeeze has an unusual cause. Cerebras told analysts it decided to rent back some of its own AI systems from an existing customer. The company wants to make compute capacity available faster while it builds out its own data centers.

This is an awkward position for a hardware company. Cerebras makes the Wafer Scale Engine, the largest semiconductor chip ever built. The WSE-2 packs 850,000 AI cores onto a single wafer roughly the size of a dinner plate. It competes directly with NVIDIA for customers running massive AI workloads.

But building data center capacity takes time and capital. Renting systems back from customers buys Cerebras operational flexibility at the cost of margins. Management clearly sees this as a short-term trade-off. Wall Street saw a red flag.

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The numbers behind the panic

Strip away the margin guidance and Cerebras had a solid quarter. Revenue hit $193 million, up 94% from the same period a year earlier. Net loss narrowed to $14 million from $23.9 million. For an AI chip company competing against NVIDIA's dominance, that growth rate is meaningful.

94%
Year-over-year revenue growth in Q1, reaching $193 million

The stock reaction tells a different story. Cerebras went public in late 2024 with a valuation around $4.25 billion. The company positioned itself as the alternative for enterprises and research institutions that need AI compute at scale but want options beyond NVIDIA. Now, just months into its life as a public company, it faces the kind of skepticism that can define a stock's trajectory.

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What this means for AI chip competition

Cerebras occupies a specific niche. Its customers include pharmaceutical companies, national laboratories, and AI research firms that train large models. The WSE architecture offers an alternative to clusters of NVIDIA GPUs for certain workloads. But unlike NVIDIA, which prints money and ships GPUs as fast as it can make them, Cerebras is still scaling.

The rental arrangement signals a company trying to grow faster than its capital allows. That is not necessarily a bad thing. Amazon Web Services famously operated on razor-thin margins for years while building infrastructure that would eventually dominate cloud computing. But AWS had Amazon's e-commerce profits to fund expansion. Cerebras has public market investors who want to see margin improvement, not margin compression.

Image (Source: TechCrunch)
Image (Source: TechCrunch)

Feldman's defense rests on timing. The margin hit is temporary, he argues. Once Cerebras finishes deploying its own data center capacity, it can stop renting from customers and restore margins. The question for investors is whether they trust that timeline.

First earnings as a public company set the tone

First earnings reports after an IPO carry outsized weight. They establish whether management can set expectations and meet them. They reveal how the company communicates with public shareholders. They create the baseline for every future quarter.

Cerebras beat on revenue. It narrowed losses. But it fumbled the margin guidance badly enough that the CEO had to go on television to explain it. That is not the start management wanted.

The company now trades near its IPO price, which means anyone who bought shares in the public market offering has made no money. Employees with stock options granted at higher prices are underwater. The next few quarters will determine whether this was a one-time communication stumble or the start of a credibility problem.

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Logicity's Take

Cerebras faces a classic growth-company dilemma. It can grow faster by temporarily sacrificing margins, or protect margins and grow slower. Management chose speed, which makes strategic sense when competing against NVIDIA's entrenched position. But public markets punish margin compression reflexively. For enterprise buyers evaluating Cerebras systems against NVIDIA H100 clusters or AMD's MI300X, this earnings drama is noise. The technical question remains: can Cerebras' single-wafer architecture deliver better performance per dollar for your specific workloads? The stock price does not answer that.

Frequently Asked Questions

Why did Cerebras stock drop after beating earnings?

Cerebras guided for full-year gross margins of 38-41%, down from the 47% reported in Q1. Investors focused on the margin compression rather than the revenue beat.

What is Cerebras renting back from customers?

Cerebras is temporarily renting its own AI systems back from an existing customer to make compute capacity available while it builds out its own data centers.

How does Cerebras compete with NVIDIA?

Cerebras makes the Wafer Scale Engine, the largest chip ever built with 850,000 AI cores. It targets customers training large AI models who want an alternative to clusters of NVIDIA GPUs.

When did Cerebras go public?

Cerebras went public in late 2024 with a valuation around $4.25 billion. This was its first earnings report as a publicly traded company.

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Related insight on AI infrastructure investment decisions

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Need Help Implementing This?

If you're evaluating AI accelerator options for your infrastructure, Logicity's advisory network includes specialists who have deployed both NVIDIA and alternative compute architectures. Contact us for vendor-neutral guidance on AI hardware selection.

Source: TechCrunch / Aisha Malik

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Manaal Khan

Tech & Innovation Writer

Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in our Editorial Policy.

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