Brand Engagement Network, Inc. (NASDAQ:BNAI) Sees Large Growth in Short Interest

Brand Engagement Network, Inc. (NASDAQ:BNAIGet Free Report) was the recipient of a significant increase in short interest in August. As of August 31st, there was short interest totalling 307,100 shares, an increase of 285.3% from the August 15th total of 79,700 shares. Based on an average daily volume of 273,100 shares, the days-to-cover ratio is presently 1.1 days. Currently, 1.4% of the shares of the stock are sold short.

Wall Street Analyst Weigh In

Separately, Maxim Group began coverage on shares of Brand Engagement Network in a report on Thursday, July 25th. They issued a “buy” rating and a $6.00 target price for the company.

Read Our Latest Stock Report on Brand Engagement Network

Institutional Trading of Brand Engagement Network

Institutional investors have recently bought and sold shares of the stock. Whittier Trust Co. bought a new stake in Brand Engagement Network in the first quarter worth $319,000. Atlas Merchant Capital LLC bought a new stake in shares of Brand Engagement Network during the second quarter worth $604,000. Finally, Periscope Capital Inc. bought a new stake in shares of Brand Engagement Network during the first quarter worth $1,012,000. 15.80% of the stock is currently owned by institutional investors.

Brand Engagement Network Stock Up 4.1 %

BNAI traded up $0.04 during trading on Friday, reaching $1.02. The company had a trading volume of 48,916 shares, compared to its average volume of 1,424,716. The business’s 50 day moving average is $2.03. Brand Engagement Network has a 52 week low of $0.80 and a 52 week high of $19.75.

Brand Engagement Network (NASDAQ:BNAIGet Free Report) last issued its quarterly earnings results on Wednesday, August 14th. The company reported ($0.19) earnings per share (EPS) for the quarter.

About Brand Engagement Network

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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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