Veritone (VERI) Expected to Announce Quarterly Earnings on Thursday

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

Veritone Stock Performance

VERI opened at $2.57 on Thursday. The company has a market cap of $103.26 million, a PE ratio of -1.19 and a beta of 3.43. The stock has a 50-day moving average of $3.08 and a 200-day moving average of $3.19. Veritone has a 52-week low of $1.65 and a 52-week high of $7.76.

Insider Activity at Veritone

In other Veritone news, Director Chad Steelberg sold 504,657 shares of the firm’s stock in a transaction that occurred on Friday, December 13th. The stock was sold at an average price of $2.52, for a total value of $1,271,735.64. Following the completion of the sale, the director now owns 31,861 shares in the company, valued at approximately $80,289.72. This trade represents a 94.06 % decrease in their position. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through the SEC website. 26.60% of the stock is owned by corporate insiders.

Analysts Set New Price Targets

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

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.