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Scope AI (XCNQ:SCPE) Pretax Margin % : % (As of Mar. 2024)


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What is Scope AI Pretax Margin %?

Pre-Tax margin is calculated as Pre-Tax Income divided by its Revenue. Scope AI's Pre-Tax Income for the three months ended in Mar. 2024 was C$-0.83 Mil. Scope AI's Revenue for the three months ended in Mar. 2024 was C$0.00 Mil. Therefore, Scope AI's pretax margin for the quarter that ended in Mar. 2024 was %.

The historical rank and industry rank for Scope AI's Pretax Margin % or its related term are showing as below:


XCNQ:SCPE's Pretax Margin % is not ranked *
in the Software industry.
Industry Median: 2.495
* Ranked among companies with meaningful Pretax Margin % only.

Scope AI Pretax Margin % Historical Data

The historical data trend for Scope AI's Pretax Margin % 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.

* Premium members only.

Scope AI Pretax Margin % Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Pretax Margin %
- - -

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Pretax Margin % Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only - - - - -

Competitive Comparison of Scope AI's Pretax Margin %

For the Software - Infrastructure subindustry, Scope AI's Pretax Margin %, along with its competitors' market caps and Pretax Margin % 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.


Scope AI's Pretax Margin % Distribution in the Software Industry

For the Software industry and Technology sector, Scope AI's Pretax Margin % distribution charts can be found below:

* The bar in red indicates where Scope AI's Pretax Margin % falls into.



Scope AI Pretax Margin % Calculation

Pretax margin - also known as pretax profit margin is the ratio of Pretax Income divided by net sales or Revenue, usually presented in percent.

Scope AI's Pretax Margin for the fiscal year that ended in Sep. 2023 is calculated as

Pretax Margin=Pre-Tax Income (A: Sep. 2023 )/Revenue (A: Sep. 2023 )
=-3.205/0
= %

Scope AI's Pretax Margin for the quarter that ended in Mar. 2024 is calculated as

Pretax Margin=Pre-Tax Income (Q: Mar. 2024 )/Revenue (Q: Mar. 2024 )
=-0.825/0
= %

* 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.


Scope AI  (XCNQ:SCPE) Pretax Margin % Explanation

The pretax margin, as know as pretax profit margin, is widely used to measure the operating efficiency of a company before deducting taxes.

The pretax margin is sometimes preferred over the net margin as tax expenditures can make profitability comparisons between companies misleading.

It is a useful tool to compare companies operating in the same sector and less effective when comparing companies from other sectors as each industry generally has different operating expenses and sales patterns.

The long term trend of the pretax margin is a good indicator of the competitiveness and health of the business.


Scope AI Pretax Margin % Related Terms

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Scope AI (XCNQ:SCPE) Business Description

Traded in Other Exchanges
Address
1800 - 510 West Georgia Street, Vancouver, BC, CAN, V6B 0M3
Scope Carbon Corp is a Canadian technology company. It develops Artificial Intelligence (AI) analytical software and intellectual property for use in analyzing data related to nature-based objects (e.g. forests, wetlands, and other areas) as it relates to carbon credit certification. The company's current business plan is to enable large volumes of object based data to be converted into digestible data that carbon credit experts and others are able to use to verify the characteristics of trees, wetlands, and other areas.