Cyabra, Inc. (NASDAQ:CYAB) Sees Large Increase in Short Interest

Cyabra, Inc. (NASDAQ:CYABGet Free Report) was the target of a large increase in short interest in July. As of July 15th, there was short interest totaling 176,365 shares, an increase of 1,202.9% from the June 30th total of 13,536 shares. Based on an average daily trading volume, of 342,985 shares, the short-interest ratio is presently 0.5 days. Approximately 9.4% of the shares of the stock are short sold.

Wall Street Analyst Weigh In

A number of equities analysts have recently issued reports on CYAB shares. Maxim Group assumed coverage on Cyabra in a report on Thursday. They issued a “buy” rating and a $1.00 price objective for the company. Weiss Ratings started coverage on shares of Cyabra in a research note on Friday, July 10th. They set a “sell (e)” rating for the company. One investment analyst has rated the stock with a Buy rating and one has given a Sell rating to the company’s stock. Based on data from MarketBeat.com, Cyabra has a consensus rating of “Hold” and a consensus price target of $1.00.

Get Our Latest Stock Report on CYAB

Cyabra Price Performance

Shares of Cyabra stock traded down $0.01 during trading on Friday, hitting $0.26. The company’s stock had a trading volume of 174,299 shares, compared to its average volume of 225,003. The business’s fifty day moving average price is $0.48. Cyabra has a 52 week low of $0.26 and a 52 week high of $6.20. The firm has a market capitalization of $3.59 million, a P/E ratio of -0.08 and a beta of 0.28.

About Cyabra

(Get Free Report)

Cyabra is a technology company that provides AI-powered solutions designed to help organizations identify and analyze harmful online activity, including disinformation, fake accounts, and coordinated manipulation campaigns across digital platforms. Its software is intended to give businesses and public-sector users visibility into how narratives spread online and how inauthentic behavior may influence public perception.

The company’s platform focuses on detecting threats in social media and other online environments by analyzing public conversation, identifying suspicious profiles, and mapping patterns of influence.

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