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Scope AI (XCNQ:SCPE) Current Deferred Taxes Liabilities : C$0.00 Mil (As of Mar. 2024)


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What is Scope AI Current Deferred Taxes Liabilities?

Current Deferred Taxes Liabilities represent future tax liabilities, resulting from temporary differences between book (accounting) value of assets and liabilities and their tax value, or timing differences between the recognition of gains and losses in financial statements and their recognition in a tax computation. Deferred tax liabilities generally arise where tax relief is provided in advance of an accounting expense, or income is accrued but not taxed until received.

Scope AI's current deferred tax liabilities for the quarter that ended in Mar. 2024 was C$0.00 Mil.

Scope AI Current Deferred Taxes Liabilities Historical Data

The historical data trend for Scope AI's Current Deferred Taxes Liabilities 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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Scope AI Current Deferred Taxes Liabilities Chart

Scope AI Annual Data
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Current Deferred Taxes Liabilities
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Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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Scope AI Current Deferred Taxes Liabilities Related Terms

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Scope AI (XCNQ:SCPE) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » Scope AI Corp (XCNQ:SCPE) » Definitions » Current Deferred Taxes Liabilities
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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.