Cerebras Systems (NASDAQ:CBRS – Get Free Report) was upgraded by analysts at Wall Street Zen from a “sell” rating to a “hold” rating in a research report issued to clients and investors on Saturday.
CBRS has been the topic of several other reports. UBS Group lifted 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. Freedom Capital raised Cerebras Systems to a “hold” rating in a research note on Monday, June 29th. Mizuho cut their target price on shares of Cerebras Systems from $310.00 to $300.00 and set an “outperform” rating on the stock in a research note on Thursday. Weiss Ratings started coverage on Cerebras Systems in a research report on Thursday. They issued a “sell (d)” rating for the company. Finally, Craig Hallum started coverage on Cerebras Systems in a research note on Monday, June 8th. They set a “buy” rating and a $325.00 price target on the stock. One equities research 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 given a Sell rating to the stock. According to MarketBeat.com, Cerebras Systems has an average rating of “Moderate Buy” and a consensus target price of $299.90.
View Our Latest Report on Cerebras Systems
Cerebras Systems Stock Performance
Cerebras Systems (NASDAQ:CBRS – Get Free Report) last posted 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 firm had revenue of $209.87 million during the quarter. The company’s revenue for the quarter was up 74.3% compared to the same quarter last year. On average, analysts forecast that Cerebras Systems will post -0.6 earnings per share for the current year.
Insider Activity
In other Cerebras Systems news, CAO Yagnesh Patel sold 6,079 shares of the business’s stock in a transaction on Thursday, June 25th. The stock was sold at an average price of $171.53, for a total value of $1,042,730.87. Following the transaction, the chief accounting officer owned 4,000 shares of the company’s stock, valued at approximately $686,120. The trade was a 60.31% decrease in their ownership of the stock. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this link. The sale was made to cover tax withholding obligations related to the vesting of equity awards. Also, CEO Andrew D. Feldman sold 17,990 shares of the company’s stock in a transaction on Thursday, June 25th. The shares were sold at an average price of $173.06, for a total value of $3,113,349.40. Following the completion of the transaction, the chief executive officer owned 17,990 shares of the company’s stock, valued at $3,113,349.40. This trade represents a 50.00% 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 117,547 shares of company stock valued at $20,676,799 over the last ninety days.
Institutional Investors Weigh In On Cerebras Systems
A hedge fund recently bought a new position in Cerebras Systems stock. Bank of New York Mellon Corp purchased a new stake in shares of Cerebras Systems Inc. (NASDAQ:CBRS – Free Report) in the 2nd quarter, according to the company in its most recent 13F filing with the Securities & Exchange Commission. The institutional investor purchased 27,682 shares of the company’s stock, valued at approximately $6,118,000.
Cerebras Systems News Roundup
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.
Cerebras Systems Company Profile
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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