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Scope AI (XCNQ:SCPE) Common Stock : C$4.16 Mil (As of Dec. 2023)


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What is Scope AI Common Stock?

Scope AI's quarterly common stock increased from Jun. 2023 (C$1.89 Mil) to Sep. 2023 (C$2.14 Mil) and increased from Sep. 2023 (C$2.14 Mil) to Dec. 2023 (C$4.16 Mil).

Scope AI's annual common stock increased from Sep. 2021 (C$0.00 Mil) to Sep. 2022 (C$1.28 Mil) and increased from Sep. 2022 (C$1.28 Mil) to Sep. 2023 (C$2.14 Mil).

Scope AI Common Stock Historical Data

The historical data trend for Scope AI's Common Stock 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 Common Stock Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Common Stock
- 1.28 2.14

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Common Stock Get a 7-Day Free Trial Premium Member Only Premium Member Only 1.28 1.28 1.89 2.14 4.16

Scope AI Common Stock Calculation

Common stock is listed on the Balance Sheet at the par value of the total shares outstanding of a company.

The par value of common stocks is meaningless. It is usually set at an absurdly low number.

Scope AI (XCNQ:SCPE) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Scope AI Corp (XCNQ:SCPE) » Definitions » Common Stock
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Traded in Other Exchanges
SCPCF:USA
Address
1800 - 510 West Georgia Street, Vancouver, BC, CAN, V6B 0M3
Website
https://www.scopecarboncorp.com
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.