Veritone (VERI) to Release Quarterly Earnings on Tuesday

Veritone (NASDAQ:VERI) will be releasing its quarterly earnings results after the market closes on Tuesday, May 7th. Analysts expect Veritone to post earnings of ($0.20) per share for the quarter. Veritone has set its Q1 2024 guidance at EPS and its FY 2024 guidance at EPS.Parties interested in listening to the company’s conference call can do so using this link.

Veritone (NASDAQ:VERI) last issued its quarterly earnings results on Tuesday, March 12th. The company reported ($0.20) earnings per share (EPS) for the quarter, beating the consensus estimate of ($0.25) by $0.05. Veritone had a negative return on equity of 120.37% and a negative net margin of 42.97%. The firm had revenue of $34.20 million for the quarter, compared to analyst estimates of $33.67 million. On average, analysts expect Veritone to post $-1 EPS for the current fiscal year and $0 EPS for the next fiscal year.

Veritone Price Performance

Shares of VERI stock opened at $3.36 on Monday. Veritone has a 12 month low of $1.48 and a 12 month high of $7.76. The company has a market capitalization of $126.71 million, a P/E ratio of -1.56 and a beta of 3.05. The stock has a 50 day moving average of $3.90 and a two-hundred day moving average of $2.69. The company has a current ratio of 0.97, a quick ratio of 0.97 and a debt-to-equity ratio of 3.53.

Analysts Set New Price Targets

Several analysts recently commented on the company. Roth Mkm boosted their price target on Veritone from $1.85 to $2.25 and gave the company a “neutral” rating in a research note on Thursday, March 14th. Roth Capital upgraded shares of Veritone from a “sell” rating to a “neutral” rating in a research note on Thursday, February 1st.

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.