Cerebras Systems (NASDAQ:CBRS – Get Free Report) had its price objective increased by stock analysts at Wedbush from $270.00 to $280.00 in a research note issued to investors on Wednesday,Benzinga reports. The brokerage presently has an “outperform” rating on the stock. Wedbush’s target price points to a potential upside of 43.70% from the stock’s current price.
A number of other research analysts also recently issued reports on the stock. Morgan Stanley upped their target price on shares of Cerebras Systems from $250.00 to $273.00 and gave the company an “overweight” rating in a research report on Wednesday. Needham & Company LLC restated a “buy” rating and issued a $300.00 price objective on shares of Cerebras Systems in a report on Wednesday. Citigroup started coverage on shares of Cerebras Systems in a research note on Monday, June 8th. They issued a “buy” rating and a $340.00 price objective on the stock. Rosenblatt Securities began coverage on shares of Cerebras Systems in a report on Monday, June 8th. They set a “buy” rating and a $300.00 target price for the company. Finally, TD Cowen assumed coverage on shares of Cerebras Systems in a research report on Monday, June 8th. They set a “buy” rating and a $275.00 target price for the company. One research analyst has rated the stock with a Strong Buy rating, nine have assigned a Buy rating and one has given a Hold rating to the company’s stock. Based on data from MarketBeat, the stock currently has an average rating of “Buy” and a consensus target price of $299.30.
Check Out Our Latest Research Report on CBRS
Cerebras Systems Price Performance
Cerebras Systems (NASDAQ:CBRS – Get Free Report) last announced its quarterly earnings data on Tuesday, June 23rd. The company reported ($0.04) EPS for the quarter, beating analysts’ consensus estimates of ($0.14) by $0.10. The firm had revenue of $193.41 million during the quarter, compared to the consensus estimate of $180.70 million.
Key Stories Impacting Cerebras Systems
Here are the key news stories impacting Cerebras Systems this week:
- Positive Sentiment: Cerebras reported better-than-expected first-quarter results, including EPS of -$0.04 versus the -$0.14 consensus, and revenue growth of roughly 92%-94%, showing strong demand for its AI chips. Reuters: Cerebras posts rise in quarterly revenue in first report post-IPO
- Positive Sentiment: The company also raised guidance, with Q2 revenue outlook above estimates and full-year revenue guidance of about $855 million-$865 million, reinforcing confidence in demand. Press release
- Positive Sentiment: Needham reaffirmed a Buy rating and set a $300 price target, implying meaningful upside from current levels. Benzinga: Needham reaffirms buy rating
- Neutral Sentiment: Several analysts and traders remain constructive on Cerebras, but the stock is also seeing heavy attention and volatility around its first post-IPO earnings report. Proactive Investors: Cerebras gets set for inaugural earnings with upside potential
- Negative Sentiment: Shares are falling because management warned that full-year profit margins will be lower than Q1, suggesting the cost of scaling its AI infrastructure business could keep profits under pressure. Reuters: Cerebras sinks 14% as full-year margin forecast disappoints
- Negative Sentiment: The weaker margin outlook has overshadowed the beat-and-raise quarter, leading investors to treat the earnings release as a warning that rapid AI expansion may not translate into near-term profitability. Invezz: Cerebras stock sinks as margin outlook overshadows AI deals
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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