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Splunk (NASDAQ:SPLK) target price raised to $75.00, reported today by Wedbush

Splunk (NASDAQ:SPLK) had its target price raised to $75.00 by Wedbush in a report released 11/30/2016. The new target price indicates a possible upside of 0.31% based on the company's previous stock price.

Just yesterday Splunk (NASDAQ:SPLK) traded -0.07% lower at $57.38. SPLK’s 50-day average is $59.05 and its two hundred day average is $58.63. With the last stock price close down -2.13% relative to the two hundred day average, compared with the S&P 500 Index which has decreased -0.03% over the date range. Volume of trade was down over the average, with 1,952 shares of SPLK changing hands under the typical 1,516,360

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With a total market value of $0, Splunk has with a one year low of $29.85 and a one year high of $65.75 .

A total of 35 equity analysts have released a research note on SPLK. Thirteen equity analysts rating the company a strong buy, nineteen equity analysts rating the company a buy, seven equity analysts rating the company a hold, zero equity analysts rating the company a underperform, and finally zero equity analysts rating the company a sell with a one year target of $62.37.

More About Splunk (NASDAQ:SPLK)

Splunk Inc. is a provider of software solutions. The Company's offerings enable users to collect, index, search, explore, monitor and analyze data. It operates through the development and marketing of software solutions segment, which enables its customers to gain real-time operational intelligence by harnessing the value of their data. The Company's offerings address diverse data sets that are referred to as big data and are specifically used for machine-generated data. Machine data is produced by various software application and electronic device in an organization and contains a definitive, time-stamped record of various activities, such as transactions, customer and user activities and security threats. The Company's products help users in various roles, including information technology (IT), security and business professionals, to analyze their machine data and achieve real-time visibility into and intelligence about their organization's operations.

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