Research Analysts Set Expectations for TSE:CMG Q1 Earnings

Computer Modelling Group Ltd. (TSE:CMG - Free Report) - Stock analysts at National Bank Financial issued their Q1 2026 earnings per share estimates for shares of Computer Modelling Group in a research note issued to investors on Thursday, May 22nd. National Bank Financial analyst J. Shao forecasts that the company will post earnings per share of $0.06 for the quarter. The consensus estimate for Computer Modelling Group's current full-year earnings is $0.31 per share. National Bank Financial also issued estimates for Computer Modelling Group's Q2 2026 earnings at $0.07 EPS, Q3 2026 earnings at $0.10 EPS, Q4 2026 earnings at $0.08 EPS, FY2026 earnings at $0.30 EPS and FY2027 earnings at $0.32 EPS.

A number of other research analysts also recently commented on CMG. CIBC dropped their price target on Computer Modelling Group from C$14.50 to C$11.00 and set a "neutral" rating for the company in a research note on Wednesday, February 12th. Ventum Financial dropped their target price on shares of Computer Modelling Group from C$15.00 to C$14.00 and set a "buy" rating for the company in a research report on Wednesday, February 12th. Cibc World Mkts lowered shares of Computer Modelling Group from a "strong-buy" rating to a "hold" rating in a research report on Wednesday, February 12th. Ventum Cap Mkts cut shares of Computer Modelling Group from a "strong-buy" rating to a "hold" rating in a research note on Thursday, May 22nd. Finally, Raymond James lowered their price objective on shares of Computer Modelling Group from C$15.00 to C$13.00 and set an "outperform" rating for the company in a research report on Wednesday, February 12th. Four research analysts have rated the stock with a hold rating and three have assigned a buy rating to the company. Based on data from MarketBeat.com, the stock presently has a consensus rating of "Hold" and a consensus price target of C$13.14.

Computer Modelling Group Price Performance

Shares of CMG traded up C$0.02 during trading hours on Monday, hitting C$6.66. 24,234 shares of the company were exchanged, compared to its average volume of 189,683. The company has a quick ratio of 2.25, a current ratio of 1.27 and a debt-to-equity ratio of 47.62. Computer Modelling Group has a fifty-two week low of C$6.58 and a fifty-two week high of C$14.73. The company has a market cap of C$537.36 million, a price-to-earnings ratio of 21.96, a P/E/G ratio of 1.97 and a beta of 1.21. The firm's fifty day moving average is C$7.68 and its 200 day moving average is C$9.06.

Computer Modelling Group Announces Dividend

The business also recently declared a quarterly dividend, which was paid on Friday, March 14th. Investors of record on Friday, March 14th were issued a dividend of $0.05 per share. This represents a $0.20 annualized dividend and a dividend yield of 3.00%. The ex-dividend date of this dividend was Thursday, March 6th. Computer Modelling Group's dividend payout ratio (DPR) is presently 65.95%.

Insider Activity at Computer Modelling Group

In other Computer Modelling Group news, Director Kenneth Michael Dedeluk sold 5,885 shares of the stock in a transaction dated Monday, March 3rd. The stock was sold at an average price of C$8.10, for a total value of C$47,668.50. Also, Director Birgit Troy purchased 11,100 shares of the business's stock in a transaction dated Tuesday, May 27th. The shares were purchased at an average cost of C$6.99 per share, for a total transaction of C$77,589.00. In the last three months, insiders have purchased 43,910 shares of company stock valued at $326,237 and have sold 17,985 shares valued at $139,469. 1.03% of the stock is currently owned by insiders.

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.