Veritone (NASDAQ:VERI – Get Free Report) issued its quarterly earnings data on Thursday. The company reported ($0.41) earnings per share for the quarter, missing analysts’ consensus estimates of ($0.11) by ($0.30), FiscalAI reports. Veritone had a negative net margin of 40.29% and a negative return on equity of 4,022.14%. The company had revenue of $29.12 million during the quarter, compared to the consensus estimate of $28.69 million. Veritone updated its Q4 2025 guidance to EPS and its FY 2025 guidance to EPS.
Veritone Stock Performance
Shares of VERI traded down $0.30 on Thursday, reaching $6.39. 8,024,917 shares of the stock traded hands, compared to its average volume of 10,250,783. The firm has a market cap of $378.10 million, a price-to-earnings ratio of -7.70 and a beta of 3.29. The company has a debt-to-equity ratio of 89.57, a current ratio of 0.89 and a quick ratio of 0.89. Veritone has a 12 month low of $1.22 and a 12 month high of $9.42. The stock’s 50-day moving average price is $5.13 and its 200-day moving average price is $3.05.
Institutional Trading of Veritone
An institutional investor recently raised its position in Veritone stock. Geode Capital Management LLC increased its position in shares of Veritone, Inc. (NASDAQ:VERI – Free Report) by 4.2% during the second quarter, according to the company in its most recent disclosure with the Securities and Exchange Commission. The firm owned 480,842 shares of the company’s stock after purchasing an additional 19,597 shares during the period. Geode Capital Management LLC owned about 1.01% of Veritone worth $606,000 at the end of the most recent reporting period. 39.18% of the stock is currently owned by hedge funds and other institutional investors.
Wall Street Analysts Forecast Growth
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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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