National Bank Financial Estimates TSE:CMG Q4 Earnings

Computer Modelling Group Ltd. (TSE:CMG) – Equities researchers at National Bank Financial raised their Q4 2025 EPS estimates for shares of Computer Modelling Group in a research report issued on Tuesday, November 12th. National Bank Financial analyst J. Shao now anticipates that the company will post earnings per share of $0.11 for the quarter, up from their prior forecast of $0.10. The consensus estimate for Computer Modelling Group’s current full-year earnings is $0.31 per share.

A number of other brokerages have also recently commented on CMG. National Bankshares set a C$14.00 target price on Computer Modelling Group and gave the stock an “outperform” rating in a report on Wednesday, September 11th. CIBC dropped their price target on shares of Computer Modelling Group from C$15.00 to C$14.50 in a research note on Wednesday. Canaccord Genuity Group lowered shares of Computer Modelling Group from a “buy” rating to a “hold” rating and reduced their price objective for the stock from C$15.00 to C$12.00 in a research report on Wednesday. Acumen Capital boosted their target price on Computer Modelling Group from C$13.00 to C$15.00 in a research report on Friday, August 9th. Finally, Ventum Financial increased their price target on Computer Modelling Group from C$13.00 to C$15.00 and gave the stock a “buy” rating in a report on Wednesday, July 31st. One analyst has rated the stock with a sell rating, two have assigned a hold rating, six have given a buy rating and one has given a strong buy rating to the stock. According to data from MarketBeat.com, the stock presently has an average rating of “Moderate Buy” and a consensus target price of C$13.50.

Computer Modelling Group Stock Down 7.9 %

Shares of TSE:CMG opened at C$10.89 on Thursday. The company has a market cap of C$891.35 million, a price-to-earnings ratio of 38.89, a PEG ratio of 1.97 and a beta of 1.21. Computer Modelling Group has a 12 month low of C$8.43 and a 12 month high of C$14.73. 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 company has a 50-day moving average price of C$11.83 and a 200 day moving average price of C$12.34.

Insider Buying and Selling at Computer Modelling Group

In other news, Senior Officer Long X. Nghiem sold 5,000 shares of the stock in a transaction on Wednesday, August 28th. The stock was sold at an average price of C$12.60, for a total transaction of C$63,000.00. In related news, Senior Officer Long X. Nghiem sold 5,200 shares of the business’s stock in a transaction that occurred on Friday, August 30th. The shares were 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 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. 1.03% of the stock is currently owned by corporate insiders.

Computer Modelling Group Dividend Announcement

The company also recently disclosed a quarterly dividend, which was paid on Friday, September 13th. Shareholders of record on Friday, September 13th were issued a dividend of $0.05 per share. The ex-dividend date of this dividend was Thursday, September 5th. This represents a $0.20 annualized dividend and a yield of 1.84%. Computer Modelling Group’s payout ratio is currently 71.43%.

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.