Computer Modelling Group (TSE:CMG) PT Set at C$14.00 by National Bankshares

Computer Modelling Group (TSE:CMG) has been assigned a C$14.00 price target by stock analysts at National Bankshares in a research note issued to investors on Wednesday, BayStreet.CA reports. The brokerage currently has an “outperform” rating on the stock. National Bankshares’ target price would suggest a potential upside of 18.34% from the company’s current price.

A number of other brokerages also recently commented on CMG. BMO Capital Markets increased their price objective on shares of Computer Modelling Group from C$13.00 to C$14.00 in a research report on Tuesday, July 16th. Raymond James set a C$15.00 target price on Computer Modelling Group and gave the company an “outperform” rating in a report on Monday, June 17th. Cibc World Mkts raised Computer Modelling Group to a “strong-buy” rating in a report on Friday, May 24th. CIBC increased their price objective on Computer Modelling Group from C$13.50 to C$15.00 in a report on Thursday, August 8th. Finally, Canaccord Genuity Group raised their target price on Computer Modelling Group from C$12.00 to C$15.00 in a research report on Friday, July 26th. One equities research analyst has rated the stock with a sell rating, one has issued a hold rating, seven have given a buy rating and one has issued a strong buy rating to the company. According to data from MarketBeat.com, Computer Modelling Group presently has an average rating of “Moderate Buy” and an average price target of C$13.89.

Computer Modelling Group Trading Up 0.9 %

TSE:CMG opened at C$11.83 on Wednesday. Computer Modelling Group has a 12-month low of C$7.98 and a 12-month high of C$14.73. The firm has a market cap of C$968.29 million, a PE ratio of 42.25, a price-to-earnings-growth ratio of 1.97 and a beta of 1.23. The company has a current ratio of 1.81, a quick ratio of 2.25 and a debt-to-equity ratio of 52.77. The stock has a fifty day moving average price of C$13.25 and a 200 day moving average price of C$11.90.

Computer Modelling Group (TSE:CMG) last announced its quarterly earnings data on Wednesday, August 7th. The company reported C$0.05 earnings per share (EPS) for the quarter, missing the consensus estimate of C$0.06 by C($0.01). Computer Modelling Group had a net margin of 19.69% and a return on equity of 36.56%. The company had revenue of C$30.52 million during the quarter, compared to analysts’ expectations of C$31.14 million. Sell-side analysts anticipate that Computer Modelling Group will post 0.3047322 earnings per share for the current fiscal year.

Insider Transactions at Computer Modelling Group

In related news, Senior Officer Long X. Nghiem sold 5,000 shares of the business’s stock in a transaction dated Wednesday, August 28th. The stock was sold at an average price of C$12.60, for a total value of C$63,000.00. In other Computer Modelling Group news, Senior Officer Long X. Nghiem sold 5,200 shares of the stock in a transaction on Friday, August 30th. The stock was sold at an average price of C$12.80, for a total value of C$66,560.00. Also, Senior Officer Long X. Nghiem sold 5,000 shares of the firm’s stock in a transaction on Wednesday, August 28th. The shares were sold at an average price of C$12.60, for a total value of C$63,000.00. Over the last ninety days, insiders have sold 25,200 shares of company stock worth $320,360. Insiders own 1.04% of the company’s stock.

About Computer Modelling Group

Computer Modelling Group Ltd., a software and consulting technology company, engages in the development and licensing of reservoir simulation and seismic interpretation software and related services. The company offers CMOST-AI, an optimization and analysis tool that offers solution for reservoir by combining advanced statistical analysis, machine learning, and impartial data interpretation; IMEX, a black oil simulator that is used to model primary, secondary, and tertiary oil recovery processes in conventional and unconventional reservoirs; and GEM, an equation-of-state reservoir simulator for compositional, chemical, and unconventional reservoir modelling.