Computer Modelling Group Ltd. (TSE:CMG - Free Report) - Investment analysts at Raymond James reduced their Q4 2025 earnings per share estimates for shares of Computer Modelling Group in a report released on Wednesday, February 12th. Raymond James analyst S. Li now expects that the company will post earnings per share of $0.07 for the quarter, down from their prior estimate of $0.08. Raymond James currently has a "Outperform" rating and a $13.00 price objective on the stock. The consensus estimate for Computer Modelling Group's current full-year earnings is $0.31 per share. Raymond James also issued estimates for Computer Modelling Group's Q4 2025 earnings at $0.07 EPS, FY2026 earnings at $0.27 EPS and FY2026 earnings at $0.27 EPS.
Other equities analysts also recently issued reports about the company. Ventum Financial dropped their price target on Computer Modelling Group from C$15.00 to C$14.00 and set a "buy" rating on the stock in a research note on Wednesday, February 12th. CIBC dropped their price target on Computer Modelling Group from C$14.50 to C$11.00 and set a "neutral" rating on the stock in a research note on Wednesday, February 12th. Cibc World Mkts downgraded Computer Modelling Group from a "strong-buy" rating to a "hold" rating in a research note on Wednesday, February 12th. BMO Capital Markets dropped their price target on Computer Modelling Group from C$14.00 to C$13.00 in a research note on Friday, December 13th. Finally, Canaccord Genuity Group downgraded Computer Modelling Group from a "buy" rating to a "hold" rating and dropped their price target for the stock from C$15.00 to C$12.00 in a research note on Wednesday, November 13th. One research analyst has rated the stock with a sell rating, three have given a hold rating and five have issued a buy rating to the company. According to data from MarketBeat, Computer Modelling Group presently has an average rating of "Hold" and a consensus price target of C$12.67.
Check Out Our Latest Report on Computer Modelling Group
Computer Modelling Group Stock Up 1.4 %
Shares of Computer Modelling Group stock traded up C$0.12 on Monday, reaching C$8.54. The company's stock had a trading volume of 393,430 shares, compared to its average volume of 218,281. The company has a market capitalization of C$689.05 million, a price-to-earnings ratio of 28.16, a P/E/G ratio of 1.97 and a beta of 1.21. The firm's fifty day simple moving average is C$10.28 and its two-hundred day simple moving average is C$11.33. Computer Modelling Group has a 52 week low of C$8.25 and a 52 week high of C$14.73. The company has a quick ratio of 2.25, a current ratio of 1.27 and a debt-to-equity ratio of 47.62.
Insider Activity at Computer Modelling Group
In other news, Senior Officer Long X. Nghiem sold 25,000 shares of the business's stock in a transaction dated Wednesday, December 4th. The stock was sold at an average price of C$11.35, for a total value of C$283,850.00. Also, Director Kenneth Michael Dedeluk sold 5,000 shares of the business's stock in a transaction dated Thursday, January 16th. The shares were sold at an average price of C$10.35, for a total value of C$51,750.00. Over the last three months, insiders have sold 314,305 shares of company stock worth $3,416,197. Corporate insiders own 1.03% of the company's stock.
Computer Modelling Group Dividend Announcement
The business also recently announced a quarterly dividend, which was paid on Friday, December 13th. Investors of record on Friday, December 13th were given a dividend of $0.05 per share. The ex-dividend date was Thursday, December 5th. This represents a $0.20 annualized dividend and a yield of 2.34%. Computer Modelling Group's dividend payout ratio (DPR) is presently 65.95%.
About Computer Modelling Group
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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.
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