Veritone (VERI) Expected to Announce Earnings on Thursday

Veritone (NASDAQ:VERI) is projected to post its quarterly earnings results after the market closes on Thursday, March 13th. Analysts expect Veritone to post earnings of ($0.22) per share and revenue of $22.91 million for the quarter. Individual that wish to register for the company’s earnings conference call can do so using this link.

Veritone Stock Performance

Shares of VERI opened at $2.34 on Tuesday. The stock has a 50-day simple moving average of $3.04 and a 200-day simple moving average of $3.17. The stock has a market capitalization of $94.02 million, a PE ratio of -1.08 and a beta of 3.43. Veritone has a 1 year low of $1.65 and a 1 year high of $7.76.

Wall Street Analyst Weigh In

Several equities research analysts have recently weighed in on VERI shares. D. Boral Capital started coverage on Veritone in a research report on Monday, February 3rd. They set a “buy” rating and a $4.50 target price on the stock. HC Wainwright started coverage on Veritone in a research report on Friday, February 21st. They set a “buy” rating and a $6.00 target price on the stock.

Insider Transactions at Veritone

In other Veritone news, Director Chad Steelberg sold 504,657 shares of Veritone stock in a transaction that occurred on Friday, December 13th. The stock was sold at an average price of $2.52, for a total transaction of $1,271,735.64. Following the transaction, the director now owns 31,861 shares of the company’s stock, valued at $80,289.72. The trade was a 94.06 % decrease in their ownership of the stock. The transaction was disclosed in a filing with the SEC, which is available at this hyperlink. Corporate insiders own 26.60% of the company’s stock.

About Veritone

Veritone, Inc, together with its subsidiaries, engages in the provision of artificial intelligence (AI) computing solutions and services in the United States, the United Kingdom, France, Australia, Israel, and India. It develops and operates aiWARE platform, an AI operating system, that uses machine learning algorithms or AI models designed to mimic human cognitive functions, such as perception, prediction, and problem solving and optimization, as well as enables users to transform unstructured data into structured data, and analyze and optimize data to drive business processes and insights.