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Scope AI (XCNQ:SCPE) Total Debt per Share : C$0.00 (As of Mar. 2024)


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What is Scope AI Total Debt per Share?

C$0.00 (As of Mar. 2024)

Total Debt per Share is calculated as total debt divided by Shares Outstanding (EOP). Total debt is calculated as Long-Term Debt & Capital Lease Obligation plus Short-Term Debt & Capital Lease Obligation. Scope AI's Total Debt Per Share for the quarter that ended in Mar. 2024 was C$0.00.


Scope AI Total Debt per Share Historical Data

The historical data trend for Scope AI's Total Debt per Share 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 Total Debt per Share Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Total Debt per Share
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Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Total Debt per Share Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only - - - - -

Scope AI Total Debt per Share Calculation

Scope AI's Total Debt Per Share for the fiscal year that ended in Sep. 2023 is calculated as:

Scope AI's Total Debt Per Share for the quarter that ended in Mar. 2024 is calculated as:

* 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 Total Debt per Share 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.