Cerebras Systems Inc. (NASDAQ:CBRS – Get Free Report)’s share price was up 9% during trading on Monday after Freedom Capital upgraded the stock to a hold rating. The company traded as high as $196.27 and last traded at $197.92. Approximately 3,283,209 shares changed hands during mid-day trading, a decline of 58% from the average daily volume of 7,757,777 shares. The stock had previously closed at $181.59.
Several other equities research analysts also recently weighed in on the stock. TD Cowen initiated coverage on shares of Cerebras Systems in a research note on Monday, June 8th. They issued a “buy” rating and a $275.00 target price on the stock. Needham & Company LLC reaffirmed a “buy” rating and set a $300.00 price target on shares of Cerebras Systems in a research note on Wednesday, June 24th. Wall Street Zen upgraded shares of Cerebras Systems from a “strong sell” rating to a “sell” rating in a report on Sunday, June 21st. Craig Hallum assumed coverage on shares of Cerebras Systems in a research report on Monday, June 8th. They issued a “buy” rating and a $325.00 price objective on the stock. Finally, Mizuho began coverage on shares of Cerebras Systems in a research note on Monday, June 8th. They issued an “outperform” rating and a $300.00 price objective for the company. One analyst has rated the stock with a Strong Buy rating, nine have issued a Buy rating and two have issued a Hold rating to the company’s stock. According to MarketBeat, the company currently has an average rating of “Moderate Buy” and an average price target of $299.30.
Get Our Latest Analysis on CBRS
Insider Buying and Selling
Cerebras Systems News Roundup
Here are the key news stories impacting Cerebras Systems this week:
- Positive Sentiment: Cerebras continues to benefit from strong post-earnings momentum, with investors reacting to a Q1 beat on both EPS and revenue, plus recent analyst upgrades and price-target increases from firms including UBS, Morgan Stanley, Needham, and Wedbush.
- Positive Sentiment: Unusual options activity points to speculative bullish interest, as traders bought far more call options than normal, suggesting some investors are betting on additional upside. Cerebras Systems (CBRS) Soars 19% on Stellar Q1
- Neutral Sentiment: A market article highlighted Cerebras as one of the “10 AI Stocks on Wall Street’s Radar,” which may be supporting visibility, but does not by itself change fundamentals. Cerebras Systems (CBRS): 10 AI Stocks on Wall Street’s Radar
- Neutral Sentiment: Freedom Capital upgraded Cerebras to “hold,” a cautious but not clearly negative signal for the stock. Zacks.com reference
- Negative Sentiment: Two law firms are investigating Cerebras on behalf of investors for potential securities law violations, which can create overhang and raise concerns even though no wrongdoing has been proven. Pomerantz LLP Investigates Claims On Behalf of Investors of Cerebras Systems Inc. – CBRS
- Negative Sentiment: Multiple insiders, including the CEO, CTO, COO, and CAO, disclosed stock sales over the past several days. The company said several transactions were tied to tax withholding on vested awards, but the scale of selling may still pressure sentiment.
Cerebras Systems Stock Performance
Cerebras Systems (NASDAQ:CBRS – Get Free Report) last released its quarterly earnings results on Tuesday, June 23rd. The company reported ($0.04) EPS for the quarter, beating the consensus estimate of ($0.14) by $0.10. The firm had revenue of $193.41 million for the quarter, compared to analyst estimates of $180.70 million.
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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