Insight Enterprises (NSIT) Projected to Post Earnings on Thursday

Insight Enterprises (NASDAQ:NSIT) will likely be releasing its earnings data before the market opens on Thursday, February 6th. Analysts expect Insight Enterprises to post earnings of $2.53 per share and revenue of $2.11 billion for the quarter. Persons that are interested in participating in the company’s earnings conference call can do so using this link.

Insight Enterprises Trading Up 0.6 %

Shares of NSIT stock opened at $172.52 on Wednesday. Insight Enterprises has a 12-month low of $146.56 and a 12-month high of $228.07. The company has a market capitalization of $5.48 billion, a P/E ratio of 21.70, a P/E/G ratio of 1.37 and a beta of 1.42. The firm has a 50-day moving average price of $161.00 and a 200 day moving average price of $185.85. The company has a quick ratio of 1.20, a current ratio of 1.24 and a debt-to-equity ratio of 0.43.

Wall Street Analyst Weigh In

Several brokerages recently issued reports on NSIT. Redburn Atlantic began coverage on shares of Insight Enterprises in a report on Friday, November 15th. They set a “buy” rating and a $220.00 price target for the company. Barrington Research cut their price target on shares of Insight Enterprises from $225.00 to $205.00 and set an “outperform” rating for the company in a report on Monday, November 4th. Three analysts have rated the stock with a hold rating and two have assigned a buy rating to the company. According to MarketBeat, the company presently has an average rating of “Hold” and an average target price of $212.50.

Insight Enterprises Company Profile

Insight Enterprises, Inc, together with its subsidiaries, provides information technology, hardware, software, and services in the United States and internationally. The company offers modern platforms/infrastructure that manages and supports cloud and data platforms, modern networks, and edge technologies; cybersecurity solutions automates and connects modern platform securely; data and artificial intelligence modernizes data platforms and architectures, and build data analytics and AI solutions; modern workplace and apps; and intelligent edge solutions that gathers and utilizes data for real-time decision making.