Veritone (VERI) Expected to Announce Earnings on Thursday

Veritone (NASDAQ:VERI) is expected to release its earnings data 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. Persons interested in participating in the company’s earnings conference call can do so using this link.

Veritone Trading Down 6.0 %

NASDAQ VERI opened at $2.34 on Tuesday. The stock has a market cap of $94.02 million, a PE ratio of -1.08 and a beta of 3.43. Veritone has a twelve month low of $1.65 and a twelve month high of $7.76. The stock has a fifty day simple moving average of $3.04 and a 200-day simple moving average of $3.17.

Wall Street Analyst Weigh In

VERI has been the subject of a number of research analyst reports. D. Boral Capital initiated coverage on Veritone in a report on Monday, February 3rd. They set a “buy” rating and a $4.50 target price for the company. HC Wainwright initiated coverage on Veritone in a report on Friday, February 21st. They set a “buy” rating and a $6.00 target price for the company.

Insider Activity at Veritone

In other news, Director Chad Steelberg sold 504,657 shares of Veritone stock in a transaction dated 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 transaction, 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 filing with the SEC, which can be accessed through the SEC website. 26.60% of the stock is currently owned by company insiders.

Veritone Company Profile

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.