Alteryx found using ticker (AYX) have now 15 analysts covering the stock. The analyst consensus points to a rating of ‘Buy’. The range between the high target price and low target price is between 95 and 50 calculating the mean target price we have 69.67. Now with the previous closing price of 46.3 this now indicates there is a potential upside of 50.5%. There is a 50 day moving average of 48.93 and the 200 moving average now moves to 57.25. The company has a market capitalisation of $3,062m. Find out more information at: https://www.alteryx.com
The potential market cap would be $4,607m based on the market concensus.
Alteryx operates in analytic process automation business in the Asia-Pacific, Europe, the Middle East, Africa, Latin America, and internationally. The company’s analytics platform enables organizations to enhance business outcomes and the productivity of their business analysts, data scientists, citizen data scientists, and data engineers. Its analytics platform comprises Alteryx Designer, a data profiling, preparation, blending, analytics, data science, and process automation product; Alteryx Server, a server-based product to manage, automate, and govern processes and applications in a web-based environment; Alteryx Intelligence Suite, an augmented machine learning, auto-modeling, and text mining product; Alteryx Connect, a collaborative data exploration platform; and Alteryx Promote, an analytics model management product for data scientists and analytics teams to build, manage, monitor, and deploy predictive models into real-time production applications. The company’s platform also offers cloud-native products comprising Alteryx Designer Cloud, a browser-based version of Alteryx Designer product; Alteryx Machine Learning, an automated machine learning product to build, validate, iterate, and explore machine learning models; Alteryx Auto Insights, an analytics solution that automates insights for business users; and Alteryx Trifacta, an open and interactive cloud platform for data engineers and analysts to collaboratively profile, prepare, and pipeline data for analytics and machine learning. In addition, it provides technical support, instruction, and customer services. It serves retail, food services, consumer products, telecom and cable, media and entertainment, professional services, financial services, energy and utilities, public sector, manufacturing, travel and hospitality, healthcare and insurance, and technology industries. The company was founded in 1997 and is headquartered in Irvine, California.
