Computer Modelling Group (Computer Modelling Group) Gross-Profit-to-Asset %

: 71.30% (As of Dec. 2023)

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Gross-Profit-to-Asset % is calculated as Gross Profit divided by its average Total Assets over a certain period of time. Computer Modelling Group's annualized Gross Profit for the quarter that ended in Dec. 2023 was $79.46 Mil. Computer Modelling Group's average Total Assets over the quarter that ended in Dec. 2023 was $111.44 Mil. Therefore, Computer Modelling Group's annualized Gross-Profit-to-Asset % for the quarter that ended in Dec. 2023 was 71.30%.

Computer Modelling Group Gross-Profit-to-Asset % Historical Data

The historical data trend for Computer Modelling Group's Gross-Profit-to-Asset % can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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Computer Modelling Group Annual Data

Trend

Mar14

Mar15

Mar16

Mar17

Mar18

Mar19

Mar20

Mar21

Mar22

Mar23

Gross-Profit-to-Asset %

78.13

70.45

58.24

53.28

54.22

Computer Modelling Group Quarterly Data
	Mar19	Jun19	Sep19	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23
Gross-Profit-to-Asset %																58.15	61.93	57.38	57.11	71.30

Competitive Comparison

For the Software - Application subindustry, Computer Modelling Group's Gross-Profit-to-Asset %, along with its competitors' market caps and Gross-Profit-to-Asset % data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Computer Modelling Group Gross-Profit-to-Asset % Distribution

For the Software industry and Technology sector, Computer Modelling Group's Gross-Profit-to-Asset % distribution charts can be found below:

* The bar in red indicates where Computer Modelling Group's Gross-Profit-to-Asset % falls into.

Computer Modelling Group Gross-Profit-to-Asset % Calculation

Computer Modelling Group's annualized Gross-Profit-to-Asset % for the fiscal year that ended in Mar. 2023 is calculated as:

Gross-Profit-to-Asset %	=	Gross Profit (A: Mar. 2023 )	/	( (Total Assets (A: Mar. 2022 )	+	Total Assets (A: Mar. 2023 ))	/ count )
	=	53.969	/	( (98.853	+	100.218)	/ 2 )
	=	53.969	/	99.5355
	=	54.22 %

Computer Modelling Group's annualized Gross-Profit-to-Asset % for the quarter that ended in Dec. 2023 is calculated as:

Gross-Profit-to-Asset %	=	Gross Profit (Q: Dec. 2023 )	/	( (Total Assets (Q: Sep. 2023 )	+	Total Assets (Q: Dec. 2023 ))	/ count )
	=	79.46	/	( (110.966	+	111.922)	/ 2 )
	=	79.46	/	111.444
	=	71.30 %

In the calculation of annual Gross-Profit-to-Asset %, the Gross Profit of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Gross Profit data used here is four times the quarterly (Dec. 2023) data. Gross-Profit-to-Asset % is displayed in the 30-year financial page.

Computer Modelling Group Gross-Profit-to-Asset % Related Terms

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Computer Modelling Group (Computer Modelling Group) Business Description

Industry

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Traded in Other Exchanges

CMG:Canada

Address

3710 33 Street N.W., Calgary, AB, CAN, T2L 2M1

Website

https://www.cmgl.ca

Computer Modelling Group Ltd is a Canada-based provider of reservoir simulation software for the oil and gas industry. Its capabilities include integrated analysis and optimization, black oil and unconventional simulation, reservoir and production system modelling, post-processor visualization, compositional simulation, thermal processes simulation, and fluid property characterization. The firm has operations in Americas, Europe, Middle East, Africa, and Asia-Pacific regions.