Cerebras Systems (NASDAQ:CBRS) Trading Down 12.1% Following Insider Selling

Posted by Geri Gentry on Aug 20th, 2026

Cerebras Systems Inc. (NASDAQ:CBRS – Get Free Report) was down 12.1% during mid-day trading on Tuesday following insider selling activity. The company traded as low as $225.07 and last traded at $221.4790. Approximately 2,400,087 shares changed hands during mid-day trading, a decline of 66% from the average daily volume of 7,101,277 shares. The stock had previously closed at $251.98.

Specifically, Director Steven Vassallo sold 50,000 shares of the company’s stock in a transaction that occurred on Friday, August 14th. The stock was sold at an average price of $218.18, for a total value of $10,909,000.00. Following the completion of the sale, the director owned 49,599 shares of the company’s stock, valued at $10,821,509.82. This represents a 50.20% decrease in their ownership of the stock. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available through the SEC website.

Analysts Set New Price Targets

A number of research analysts have recently issued reports on the company. Morgan Stanley raised their price objective on Cerebras Systems from $273.00 to $279.00 and gave the company an “overweight” rating in a research note on Thursday, August 13th. Craig Hallum assumed coverage on Cerebras Systems in a research report on Monday, June 8th. They issued a “buy” rating and a $325.00 price objective for the company. Wedbush increased their price objective on Cerebras Systems from $280.00 to $290.00 and gave the company an “outperform” rating in a research note on Thursday, August 13th. TD Cowen initiated coverage on shares of Cerebras Systems in a report on Monday, June 8th. They issued a “buy” rating and a $275.00 target price on the stock. Finally, UBS Group upped their price target on shares of Cerebras Systems from $320.00 to $330.00 and gave the company a “buy” rating in a report on Thursday, August 13th. One investment analyst has rated the stock with a Strong Buy rating, nine have issued a Buy rating, two have assigned a Hold rating and one has issued a Sell rating to the company. Based on data from MarketBeat.com, Cerebras Systems has a consensus rating of “Moderate Buy” and a consensus price target of $299.90.

View Our Latest Analysis on CBRS

More Cerebras Systems News

Here are the key news stories impacting Cerebras Systems this week:

Positive Sentiment: Cerebras unveiled its CS-4 rack-scale AI accelerator, claiming it can deliver up to 30 times faster inference than GPU-based solutions. The company is targeting the growing market for real-time AI applications and chatbot queries. Cerebras Unveils CS-4
Positive Sentiment: Analysts at Rosenblatt Securities and Needham reaffirmed “buy” ratings and set $300 price targets, implying substantial upside from the recent trading level. The broader analyst consensus remains “Moderate Buy.”
Positive Sentiment: Trading in CBRS call options was unusually active, with investors purchasing 57,909 calls—about 42% above typical volume—indicating increased speculative interest in a possible rebound.
Positive Sentiment: Investor attention is also supported by Cerebras’ wafer-scale technology, reported progress with OpenAI, and partnerships involving AMD and Amazon. A large backlog and strong AI-inference demand could support future growth. Cerebras comeback hinges on new chip
Neutral Sentiment: The CS-4’s “30 times faster” figure is a company claim that still requires validation through customer adoption, independent benchmarks, and commercial deployments. The launch may therefore create enthusiasm without immediately changing financial results.
Negative Sentiment: Director Eric Vishria sold 68,268 shares for approximately $15.7 million, reducing his direct ownership by 68.5%. The transaction occurred under a pre-arranged Rule 10b5-1 plan, but its size may still weigh on sentiment. SEC insider sale filing
Negative Sentiment: Director Steven Vassallo separately sold 50,000 shares worth about $10.9 million, cutting his ownership by 50.2%. Two sizable insider sales in a short period can reinforce profit-taking concerns.
Negative Sentiment: Cerebras recently reported a $2.98-per-share loss versus the expected $0.21 loss, despite revenue growth of 74.3% to $209.9 million. The large earnings miss keeps profitability and valuation as key risks.

Cerebras Systems Stock Down 2.0%

The company’s 50 day moving average is $208.94.

Cerebras Systems (NASDAQ:CBRS – Get Free Report) last announced its quarterly earnings results on Wednesday, August 12th. The company reported ($2.98) EPS for the quarter, missing analysts’ consensus estimates of ($0.21) by ($2.77). The company had revenue of $209.87 million during the quarter. The firm’s revenue was up 74.3% compared to the same quarter last year. As a group, analysts anticipate that Cerebras Systems Inc. will post -0.52 EPS for the current fiscal year.

Institutional Investors Weigh In On Cerebras Systems

Institutional investors and hedge funds have recently modified their holdings of the stock. Wellington Management Group LLP bought a new stake in shares of Cerebras Systems during the 2nd quarter valued at about $194,853,000. Bank of New York Mellon Corp bought a new position in Cerebras Systems in the second quarter worth about $6,118,000. Ratan Capital Management LP purchased a new stake in Cerebras Systems in the second quarter worth about $4,641,000. Finally, Tiger Pacific Capital LP purchased a new stake in Cerebras Systems in the second quarter worth about $221,000.

About Cerebras Systems

(Get Free Report)

Cerebras Systems is a technology company focused on building artificial intelligence infrastructure, including hardware and software designed to accelerate deep learning and large-scale AI workloads. The company is best known for its wafer-scale processor architecture, which is intended to provide high-performance compute for training and inference applications.

In addition to its AI chips, Cerebras offers systems and related software tools that support researchers and enterprises working with machine learning models.