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Nice Systems Ltd (NASDAQ:NICE) issued its quarterly earnings data on Wednesday. The company reported $0.57 earnings per share (EPS) for the quarter, missing the consensus estimate of $0.59 by $0.02, AnalystRatingsNetwork.com reports. The company had revenue of $239.30 million for the quarter, compared to the consensus estimate of $234.92 million. During the same quarter in the previous year, the company posted $0.61 earnings per share. The company’s revenue for the quarter was up 6.3% on a year-over-year basis. Nice Systems Ltd updated its Q3 guidance to $0.59-0.67 EPS and its FY14 guidance to $2.68-2.80 EPS.

A number of analysts have recently weighed in on NICE shares. Analysts at Wedbush cut their price target on shares of Nice Systems Ltd from $47.00 to $45.00 in a research note on Friday, May 9th. Analysts at CRT Capital downgraded shares of Nice Systems Ltd from a “buy” rating to a “fair value” rating in a research note on Friday, May 9th. They now have a $40.00 price target on the stock, down previously from $46.00. One research analyst has rated the stock with a sell rating, two have given a hold rating and two have issued a buy rating to the company’s stock. The stock has an average rating of “Hold” and an average target price of $43.27.

Shares of Nice Systems Ltd (NASDAQ:NICE) traded down 0.70% during mid-day trading on Wednesday, hitting $39.65. The stock had a trading volume of 137,802 shares. Nice Systems Ltd has a 52 week low of $36.72 and a 52 week high of $46.07. The stock has a 50-day moving average of $40.3 and a 200-day moving average of $40.88. The company has a market cap of $2.375 billion and a price-to-earnings ratio of 46.43.

The company also recently announced a quarterly dividend, which is scheduled for Tuesday, August 26th. Investors of record on Tuesday, August 12th will be paid a dividend of $0.16 per share. This represents a $0.64 annualized dividend and a dividend yield of 1.61%.

Nice Systems Ltd (NASDAQ:NICE) is a provider of solutions that enable enterprises and security organizations to extract insight from interactions, transactions and surveillance.

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