Veritone, Inc. (NASDAQ:VERI) is set to announce second quarter earning results on Monday 10th August 2020, after market close.
Analysts surveyed by Thomson Reuters are predicting, VERI to report 2Q20 loss of $ 0.23 per share from revenue of $ 12.91 million.
For the full year, analysts anticipate top line of $ 52.29 million, while looking forward to loss of $ 0.88 per share bottom line.
The Company Outlook
Revenue for 2Q20 are expected in a range of $ 11.80 million ~ $ 12.20 million
Click Here For More Historical Outlooks Of Veritone, Inc.
Previous Quarter Performance
Veritone, Inc. recorded loss for the first quarter of $ 0.25 per share, from the revenue of $ 11.90 million. The quarterly revenues dropped 1.90 percent compared with the same quarter last year. The consensus estimates are loss of $ 0.29 per share from $ 12.61 million in revenue. The bottom line results beat street analysts by $ 0.04 or 13.79 percent, at the same time, top line results fell short of analysts by $ 0.71 million or 5.63 percent.
Historical Earnings Performance
wpDataChart with provided ID not found! wpDataTable with provided ID not found!Click Here For More Historical Earnings Of Veritone, Inc.
Stock Performance
According to the previous trading day, closing price of VERI was $ 12.98, representing a 963.93 % increase from the 52 week low of $ 1.22 and a 34.01 % decrease over the 52 week high of $ 19.67.
The company has a market capital of $ 351.96 million and is part of the Technology sector and Software – Infrastructure industry.
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Conference Call
Veritone, Inc. will be hosting a conference call at 4:30 PM eastern time on 10th August 2020, to discuss its 2Q20 financial results with the investment community. A live webcast with presentations will be available on the Internet by visiting the Company website www.veritone.com
Veritone, Inc. provides artificial intelligence (AI) and computing solutions in the United States and the United Kingdom. It develops and operates aiWARE platform, an AI operating system that integrates and orchestrates a range of cognitive engines to reveal multivariate insights from structured and unstructured data, as well as to conduct cognitive workflows based on these insights.
