Goldman Sachs Group Inc. decreased its position in Veritone, Inc. (NASDAQ:VERI – Free Report) by 21.4% in the 1st quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 69,021 shares of the company’s stock after selling 18,806 shares during the period. Goldman Sachs Group Inc. owned 0.15% of Veritone worth $160,000 as of its most recent SEC filing.
Several other hedge funds have also made changes to their positions in VERI. OMERS ADMINISTRATION Corp purchased a new stake in shares of Veritone in the 1st quarter valued at approximately $315,000. Skandinaviska Enskilda Banken AB publ purchased a new stake in shares of Veritone in the 1st quarter valued at approximately $102,000. Jane Street Group LLC purchased a new stake in shares of Veritone in the 4th quarter valued at approximately $130,000. NBZ Investment Advisors LLC purchased a new stake in shares of Veritone in the 1st quarter valued at approximately $86,000. Finally, Capital Advisors Inc. OK purchased a new stake in shares of Veritone in the 1st quarter valued at approximately $70,000. Hedge funds and other institutional investors own 39.18% of the company’s stock.
Veritone Stock Performance
Shares of VERI stock opened at $4.78 on Tuesday. The stock’s 50-day moving average is $3.18 and its two-hundred day moving average is $2.35. The firm has a market cap of $282.83 million, a price-to-earnings ratio of -5.76 and a beta of 3.04. Veritone, Inc. has a 1 year low of $1.22 and a 1 year high of $6.43. The company has a debt-to-equity ratio of 89.57, a quick ratio of 0.89 and a current ratio of 0.89.
Analysts Set New Price Targets
Check Out Our Latest Stock Analysis on VERI
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.
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