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Stifel disclosed Gigamon (NYSE:GIMO), hiking its price target to $42.00 earlier today

Reporting a potential upside of 0.2%, Stifel upped the price target of Gigamon (NYSE:GIMO) to $42.00

Having a price of $35.00, Gigamon (NYSE:GIMO) traded -0.57% lower on the day. With the last close down -18.70% from the two hundred day average, compared with the Standard & Poor's 500 Index which has increased 0.03% over the same period. GIMO has recorded a 50-day average of $34.41 and a two hundred day average of $43.05. Trade Volume was down over the average, with 998,597 shares of GIMO changing hands under the typical 1,171,340

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Gigamon (NYSE:GIMO)

Gigamon has PE ratio of 26.72 with a one year low of $28.43 and a one year high of $61.25 and has a market capitalization of $0.

A total of 6 analysts have released a report on Gigamon. Two analysts rating the company a strong buy, three analysts rating the company a buy, one analyst rating the company a hold, zero analysts rating the company a underperform, and finally zero analysts rating the company a sell with a 12-month price target of $40.83.

General Company Details For Gigamon (NYSE:GIMO)

Gigamon Inc. offers a solution that delivers visibility and control of data-in-motion traversing enterprise, federal and service provider networks. The Company's Visibility Platform consists of a distributed system of nodes (that in combination establish a Visibility Fabric). The Visibility Platform includes physical appliances and virtual nodes that can be deployed in data centers, central offices, virtualized/private cloud/public cloud environments, and small form-factor remote site appliances, which in combination enable pervasive visibility of network infrastructures. Its GigaSECURE Security Delivery Platform enables security teams and information technology (IT) personnel to gain visibility into their IT infrastructure by forwarding selected traffic of interest from network, server and remote location infrastructure to security, management, analysis and compliance tools in a manner that is optimized for specific uses or functions.

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