Cerebras Systems (NASDAQ:CBRS – Free Report) had its target price lifted by Wedbush from $280.00 to $290.00 in a research note released on Thursday morning,Benzinga reports. They currently have an outperform rating on the stock.
Several other equities analysts have also issued reports on the company. Citigroup lowered their price target on Cerebras Systems from $340.00 to $320.00 and set a “buy” rating for the company in a research report on Thursday. Freedom Capital upgraded shares of Cerebras Systems to a “hold” rating in a research note on Monday, June 29th. Needham & Company LLC reaffirmed a “buy” rating and issued a $300.00 target price on shares of Cerebras Systems in a report on Thursday. Rosenblatt Securities reiterated a “buy” rating and set a $300.00 price target on shares of Cerebras Systems in a report on Thursday. Finally, Mizuho reduced 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. One investment analyst has rated the stock with a Strong Buy rating, nine have issued a Buy rating, two have given a Hold rating and one has issued a Sell rating to the company. Based on data from MarketBeat, the stock currently has an average rating of “Moderate Buy” and an average target price of $299.90.
View Our Latest Analysis on Cerebras Systems
Cerebras Systems Price Performance
Cerebras Systems (NASDAQ:CBRS – Get Free Report) last released its earnings results on Wednesday, August 12th. The company reported ($2.98) EPS for the quarter, missing the consensus estimate of ($0.21) by ($2.77). The business had revenue of $209.87 million during the quarter. The firm’s quarterly revenue was up 74.3% compared to the same quarter last year. Equities research analysts forecast that Cerebras Systems will post -0.6 earnings per share for the current fiscal year.
Insiders Place Their Bets
In other Cerebras Systems news, CAO Yagnesh Patel sold 6,079 shares of the company’s stock in a transaction dated Thursday, June 25th. The shares were sold at an average price of $171.53, for a total transaction of $1,042,730.87. Following the transaction, the chief accounting officer owned 4,000 shares in the company, valued at approximately $686,120. This represents a 60.31% decrease in their position. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is accessible through this hyperlink. The sale was made to cover tax withholding obligations related to the vesting of equity awards. Also, COO Dhiraj Mallick sold 36,131 shares of the firm’s stock in a transaction dated Thursday, June 25th. The shares were sold at an average price of $169.28, for a total transaction of $6,116,255.68. Following the sale, the chief operating officer directly owned 33,314 shares in the company, valued at approximately $5,639,393.92. The trade was a 52.03% decrease in their position. The SEC filing for this sale provides additional information. The sale was made to cover tax withholding obligations related to the vesting of equity awards. Insiders sold a total of 117,547 shares of company stock worth $20,676,799 in the last 90 days.
Institutional Investors Weigh In On Cerebras Systems
A hedge fund recently bought a new stake in Cerebras Systems stock. Tiger Pacific Capital LP bought a new position in Cerebras Systems Inc. (NASDAQ:CBRS – Free Report) in the second quarter, according to the company in its most recent disclosure with the SEC. The fund bought 1,000 shares of the company’s stock, valued at approximately $221,000. Cerebras Systems accounts for about 0.1% of Tiger Pacific Capital LP’s investment portfolio, making the stock its 9th largest position.
More Cerebras Systems News
Here are the key news stories impacting Cerebras Systems this week:
- Positive Sentiment: Cerebras reported strong underlying demand: core revenue increased 103% year over year, while cloud-services revenue surged 287% as customers adopted its fast-inference technology. CBRS Q2 Earnings Beat Estimates as Cloud Revenues Surge 287%
- Positive Sentiment: The company raised its full-year revenue outlook and said it is expanding data-center and manufacturing capacity to support anticipated 2027 growth. Its remaining performance obligations reportedly exceed $25.4 billion, offering substantial long-term visibility. CBRS Q2 Earnings Call Focuses on Capacity for 2027 Growth
- Positive Sentiment: OpenAI selected Cerebras to power the ultrafast mode for GPT-5.6 Sol, strengthening Cerebras’ customer validation and positioning in the rapidly growing AI-inference market. Cerebras Powers Ultrafast Mode for OpenAI’s GPT-5.6 Sol
- Positive Sentiment: Several analysts remain constructive: Wedbush raised its price target to $290 with an outperform rating, while Rosenblatt reaffirmed a $300 target and buy rating.
- Neutral Sentiment: Cerebras will livestream its 2026 SUPERNOVA event, where product announcements and demonstrations could provide a near-term catalyst, although the financial impact remains uncertain. Cerebras to Host Livestream of 2026 SUPERNOVA Event
- Negative Sentiment: Second-quarter revenue of approximately $180 million increased 74% year over year but missed analysts’ estimate of about $194 million. The shortfall raised concerns that Cerebras’ growth trajectory may be less predictable than expected. Cerebras Slumps as Mixed Quarterly Results Test AI Growth Narrative
- Negative Sentiment: Muted third-quarter growth expectations, margin pressure and a quarterly loss overshadowed the raised annual outlook. Investors also questioned whether Cerebras can scale quickly enough to challenge larger AI-chip competitors such as Nvidia.
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.
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