Computer Modelling Group (TSE:CMG) Hits New 1-Year High at $14.73

Computer Modelling Group Ltd. (TSE:CMG)’s stock price hit a new 52-week high during mid-day trading on Wednesday . The stock traded as high as C$14.73 and last traded at C$14.19, with a volume of 3609 shares traded. The stock had previously closed at C$14.42.

Analyst Upgrades and Downgrades

CMG has been the subject of several analyst reports. Acumen Capital upped their price objective on Computer Modelling Group from C$12.00 to C$13.00 and gave the stock a “buy” rating in a research note on Friday, May 24th. Raymond James set a C$15.00 target price on shares of Computer Modelling Group and gave the company an “outperform” rating in a research note on Monday, June 17th. Echelon Wealth Partners increased their price target on Computer Modelling Group from C$11.50 to C$13.00 and gave the stock a “buy” rating in a research note on Friday, May 24th. National Bankshares boosted their price objective on Computer Modelling Group from C$12.50 to C$14.00 and gave the company an “outperform” rating in a research report on Friday, May 31st. Finally, Canaccord Genuity Group increased their target price on Computer Modelling Group from C$11.00 to C$12.00 and gave the stock a “buy” rating in a research report on Friday, May 24th. One investment analyst has rated the stock with a sell rating, one has assigned a hold rating, seven have assigned a buy rating and one has given a strong buy rating to the stock. According to MarketBeat.com, Computer Modelling Group currently has a consensus rating of “Moderate Buy” and a consensus target price of C$12.56.

Computer Modelling Group Trading Down 1.7 %

The firm has a market cap of C$1.15 billion, a P/E ratio of 49.03, a P/E/G ratio of 1.97 and a beta of 1.14. The company’s 50 day simple moving average is C$12.95 and its 200-day simple moving average is C$11.12. The company has a quick ratio of 2.25, a current ratio of 1.76 and a debt-to-equity ratio of 59.81.

Computer Modelling Group (TSE:CMG) last announced its quarterly earnings data on Wednesday, May 22nd. The company reported C$0.09 EPS for the quarter, beating the consensus estimate of C$0.07 by C$0.02. The company had revenue of C$32.29 million for the quarter, compared to the consensus estimate of C$31.30 million. Computer Modelling Group had a return on equity of 42.70% and a net margin of 25.10%. As a group, research analysts predict that Computer Modelling Group Ltd. will post 0.3502392 earnings per share for the current fiscal year.

Computer Modelling Group Announces Dividend

The company also recently disclosed a quarterly dividend, which was paid on Friday, June 14th. Investors of record on Friday, June 14th were paid a $0.05 dividend. The ex-dividend date was Thursday, June 6th. This represents a $0.20 annualized dividend and a yield of 1.41%. Computer Modelling Group’s dividend payout ratio (DPR) is currently 68.97%.

Insider Buying and Selling at Computer Modelling Group

In other news, Director Kenneth Michael Dedeluk sold 10,000 shares of the firm’s stock in a transaction on Monday, April 29th. The stock was sold at an average price of C$10.75, for a total transaction of C$107,500.00. In other Computer Modelling Group news, Senior Officer Robert David Hicks sold 20,400 shares of Computer Modelling Group stock in a transaction dated Tuesday, June 4th. The stock was sold at an average price of C$13.10, for a total value of C$267,240.00. Also, Director Kenneth Michael Dedeluk sold 10,000 shares of the stock in a transaction dated Monday, April 29th. The shares were sold at an average price of C$10.75, for a total transaction of C$107,500.00. Insiders sold a total of 153,400 shares of company stock valued at $1,973,133 in the last ninety days. Corporate insiders own 1.37% 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.