Wall Street Zen upgraded shares of Brand Engagement Network (NASDAQ:BNAI – Free Report) to a sell rating in a research report report published on Saturday morning.
Separately, Weiss Ratings reissued a “sell (e+)” rating on shares of Brand Engagement Network in a research report on Wednesday, October 8th. One equities research analyst has rated the stock with a Sell rating, According to data from MarketBeat, the stock has a consensus rating of “Sell”.
Check Out Our Latest Research Report on Brand Engagement Network
Brand Engagement Network Stock Performance
Brand Engagement Network (NASDAQ:BNAI – Get Free Report) last announced its quarterly earnings data on Tuesday, November 25th. The company reported ($0.59) earnings per share for the quarter, beating the consensus estimate of ($1.40) by $0.81. The firm had revenue of $0.06 million during the quarter.
Institutional Trading of Brand Engagement Network
Several hedge funds have recently made changes to their positions in the stock. Corps Capital Advisors LLC boosted its position in Brand Engagement Network by 132.9% during the 2nd quarter. Corps Capital Advisors LLC now owns 223,064 shares of the company’s stock valued at $98,000 after purchasing an additional 127,286 shares during the period. XTX Topco Ltd boosted its holdings in shares of Brand Engagement Network by 197.9% during the second quarter. XTX Topco Ltd now owns 73,684 shares of the company’s stock valued at $32,000 after acquiring an additional 48,951 shares during the period. Finally, Lido Advisors LLC grew its position in shares of Brand Engagement Network by 404.3% during the second quarter. Lido Advisors LLC now owns 932,924 shares of the company’s stock worth $410,000 after acquiring an additional 747,924 shares during the last quarter. Institutional investors own 15.80% of the company’s stock.
About Brand Engagement Network
Brand Engagement Network, Inc provides conversational AI assistants. The company offers security-focused, multimodal communication, and human-like assistants. Its AI assistants are built on proprietary natural language processing, anomaly detection, multisensory awareness, sentiment, and environmental analysis, as well as real-time individuation and personalization capabilities.
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