Veritone, Inc. (NASDAQ:VERI) is set to announce third quarter earning results on Monday 9th November 2020, after market close.
Analysts surveyed by Thomson Reuters are predicting, VERI to report 3Q20 loss of $ 0.2 per share.
For the full year, analysts anticipate top line of $ 54.45 million, while looking forward to loss of $ 0.84 per share bottom line.
The Company Outlook
Revenue for 3Q20 are expected in a range of $ 14.20 million ~ $ 14.60 million
Click Here For More Historical Outlooks Of Veritone, Inc.
Previous Quarter Performance
Veritone, Inc. recorded loss for the second quarter of $ 0.21 per share, from the revenue of $ 13.27 million. Street analysts expected Veritone, Inc. to report loss of $ 0.23 per share on revenue of $ 12.91 million for the second quarter. The bottom line results beat street analysts by $ 0.02 or 8.70 percent, at the same time, top line results outshined analysts by $ 0.36 million or 2.79 percent.
Stock Performance
On Friday, shares of Veritone, Inc. has traded high as $ 10.64 and has cracked $ 9.85 on the downward trend, reaching $ 9.91 with volume of 777.60 thousand shares.
According to the previous trading day, closing price of $ 9.91, representing a 769.67 % increase from the 52 week low of $ 1.22 and a 46.06 % decrease over the 52 week high of $ 19.67.
The company has a market capital of $ 273.59 million and is part of the Technology sector and Software – Infrastructure industry.
Conference Call
Veritone, Inc. will be hosting a conference call at 4:30 PM eastern time on 9th November 2020, to discuss its 3Q20 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.
