Insider Selling: Cerebras Systems (NASDAQ:CBRS) Director Sells 68,268 Shares of Stock

Cerebras Systems Inc. (NASDAQ:CBRS) Director Eric Vishria sold 68,268 shares of Cerebras Systems stock in a transaction dated Monday, August 17th. The stock was sold at an average price of $229.77, for a total transaction of $15,685,938.36. Following the transaction, the director directly owned 31,383 shares in the company, valued at $7,210,871.91. This trade represents a 68.51% decrease in their ownership of the stock. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is available through this link. The transaction was executed under a pre-arranged Rule 10b5-1 trading plan.

Cerebras Systems Price Performance

NASDAQ:CBRS traded down $4.32 on Wednesday, hitting $215.69. The stock had a trading volume of 10,965,495 shares, compared to its average volume of 7,333,994. The stock has a fifty day moving average price of $209.37. Cerebras Systems Inc. has a 1-year low of $160.81 and a 1-year high of $386.34.

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

Key Cerebras Systems News

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

• Positive Sentiment: Cerebras unveiled the CS-4, a wafer-scale AI system designed to accelerate real-time chatbot and AI-agent inference. The company’s claimed performance advantage could help it compete with traditional GPU systems as demand shifts toward faster, lower-latency inference. Cerebras launches new server chip and system designed to speed AI chatbots
• Positive Sentiment: The CS-4 announcement, along with management’s discussion of wafer-scale technology and real-time applications, strengthens Cerebras’ positioning in AI inference. However, the 30-times-faster figure is a company claim and will require customer validation and commercial adoption. Cerebras discusses AI speed and wafer-scale technology
• Positive Sentiment: Rosenblatt Securities and Needham reaffirmed “buy” ratings and assigned $300 price targets, implying substantial upside from recent trading levels. These endorsements indicate that some analysts view the CS-4 launch and Cerebras’ AI-inference opportunity as underappreciated. Analyst rating updates
• Positive Sentiment: A recent 13F filing showed technology investor Ratan Capital Management establishing a Cerebras position during the second quarter. New institutional ownership may provide incremental credibility, although 13F disclosures are backward-looking and do not indicate current trading intentions. Investor purchases Cerebras shares
• Neutral Sentiment: Cerebras’ reported revenue rose 74.3% year over year to $209.9 million, and its reported backlog and relationships involving OpenAI, AMD, and Amazon support the long-term growth story. Still, the company remains unprofitable and must convert these opportunities into sustainable revenue and margins.
• Negative Sentiment: The latest quarterly loss of $2.98 per share was far worse than the expected $0.21 loss. The sizable earnings miss likely amplified concerns that strong revenue growth is not yet translating into operating leverage.
• Negative Sentiment: Director Steven Vassallo sold 50,000 shares for approximately $10.9 million, cutting his reported ownership by 50.2%. The filing does not explain the sale, but its size can weigh on investor sentiment. SEC insider transaction filing

Hedge Funds Weigh In On Cerebras Systems

Several hedge funds have recently made changes to their positions in CBRS. Bank of New York Mellon Corp acquired a new stake in shares of Cerebras Systems during the second quarter worth about $6,118,000. Tiger Pacific Capital LP acquired a new stake in shares of Cerebras Systems in the 2nd quarter valued at about $221,000. Ratan Capital Management LP acquired a new position in Cerebras Systems during the second quarter worth approximately $4,641,000. Finally, Wellington Management Group LLP purchased a new stake in Cerebras Systems in the second quarter valued at approximately $194,853,000.

Analyst Upgrades and Downgrades

Several equities research analysts have issued reports on the company. Weiss Ratings began coverage on Cerebras Systems in a research note on Thursday, August 13th. They set a “sell (d)” rating for the company. Barclays began coverage on Cerebras Systems in a report on Monday, June 8th. They set an “overweight” rating and a $280.00 price target for the company. Craig Hallum assumed coverage on Cerebras Systems in a research report on Monday, June 8th. They set a “buy” rating and a $325.00 price objective for the company. Mizuho dropped their price target on shares of Cerebras Systems from $310.00 to $300.00 and set an “outperform” rating for the company in a research report on Thursday, August 13th. Finally, Zacks Research upgraded Cerebras Systems to a “hold” rating in a report on Tuesday, June 9th. One analyst has rated the stock with a Strong Buy rating, nine have given a Buy rating, two have issued a Hold rating and one has assigned a Sell rating to the company. Based on data from MarketBeat.com, the company has a consensus rating of “Moderate Buy” and an average target price of $299.90.

About Cerebras Systems

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.