QinetiQ Group’s (QQ) Buy Rating Reiterated at Shore Capital

QinetiQ Group (LON:QQ)‘s stock had its “buy” rating restated by stock analysts at Shore Capital in a research note issued on Tuesday, Marketbeat reports.

Separately, JPMorgan Chase & Co. upped their price target on QinetiQ Group from GBX 455 ($5.60) to GBX 535 ($6.59) and gave the stock an “overweight” rating in a report on Thursday, December 12th.

QinetiQ Group Price Performance

QinetiQ Group stock opened at GBX 387.20 ($4.77) on Tuesday. The company has a market cap of £2.19 billion, a P/E ratio of 1,613.33, a price-to-earnings-growth ratio of 1.47 and a beta of 0.48. QinetiQ Group has a one year low of GBX 292.20 ($3.60) and a one year high of GBX 491 ($6.04). The business has a fifty day moving average of GBX 416.24 and a two-hundred day moving average of GBX 445.91. The company has a debt-to-equity ratio of 42.47, a quick ratio of 1.15 and a current ratio of 1.15.

QinetiQ Group (LON:QQ) last announced its quarterly earnings data on Thursday, November 14th. The company reported GBX 14.20 ($0.17) EPS for the quarter. QinetiQ Group had a net margin of 7.30% and a return on equity of 14.74%. As a group, analysts predict that QinetiQ Group will post 26.1405108 earnings per share for the current fiscal year.

About QinetiQ Group

QinetiQ Group plc operates as a science and engineering company in the defense, security, and infrastructure markets in the United Kingdom, the United States, Australia, and internationally. The company operates through EMEA Services and Global Solutions segments. It offers advanced materials and manufacturing products; artificial intelligence, analytics, and advanced computing technologies; cyber and electromagnetic technologies; human protection and performance systems; novel systems, and weapons and effects; platform, and system design and assessment products; power sources, and energy storage and distribution products; robotics and autonomy services; secure communications and navigation systems; and sensing, processing, and data fusion systems.