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) will likely be posting its Q2 2025 quarterly earnings results after the market closes on Thursday, August 7th. Analysts expect Veritone to post earnings of ($0.19) per share and revenue of $23.52 million for the quarter.

Veritone Price Performance

Shares of NASDAQ VERI traded up $0.26 during midday trading on Monday, hitting $2.40. The stock had a trading volume of 1,401,893 shares, compared to its average volume of 1,067,391. The company has a market capitalization of $113.88 million, a PE ratio of -2.72 and a beta of 2.81. The stock has a 50 day simple moving average of $1.70 and a 200-day simple moving average of $2.23. Veritone has a 1 year low of $1.22 and a 1 year high of $5.64. The company has a quick ratio of 0.99, a current ratio of 0.99 and a debt-to-equity ratio of 7.50.

Analyst Upgrades and Downgrades

A number of equities analysts recently commented on the company. UBS Group reduced their price objective on Veritone from $3.50 to $2.00 and set a "neutral" rating on the stock in a research report on Friday, May 9th. D. Boral Capital reiterated a "buy" rating and set a $4.00 price objective on shares of Veritone in a research report on Tuesday, July 15th.

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.