Veritone (VERI) to Release Quarterly Earnings on Thursday

Key Points

• Veritone (NASDAQ:VERI) is set to release its Q2 2025 earnings on August 7th, expecting a loss of ($0.19) per share and revenue of $23.52 million.
• The stock opened at $2.09 and has a current ratio of 0.99 with a debt-to-equity ratio of 7.50.
• Analyst ratings have varied, with UBS Group lowering the target price to $2.00 while D. Boral Capital maintained a "buy" rating with a $4.00 price target.

Veritone (NASDAQ:VERI - Get Free Report) is projected to announce its Q2 2025 earnings results after the market closes on Thursday, August 7th. Analysts expect the company to announce earnings of ($0.19) per share and revenue of $23.52 million for the quarter.

Veritone Stock Down 3.6%

Shares of VERI traded down $0.08 during mid-day trading on Friday, reaching $2.14. The company's stock had a trading volume of 1,197,978 shares, compared to its average volume of 3,051,913. Veritone has a 12-month low of $1.22 and a 12-month high of $5.64. The stock has a market cap of $101.76 million, a PE ratio of -2.43 and a beta of 2.81. The company has a debt-to-equity ratio of 7.50, a current ratio of 0.99 and a quick ratio of 0.99. The company's 50 day moving average is $1.70 and its 200 day moving average is $2.23.

Analysts Set New Price Targets

A number of brokerages recently issued reports on VERI. UBS Group decreased their target price on Veritone from $3.50 to $2.00 and set a "neutral" rating for the company in a research report on Friday, May 9th. D. Boral Capital reissued a "buy" rating and issued a $4.00 target price on shares of Veritone in a research report on Tuesday, July 15th.

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.