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Scope AI (XCNQ:SCPE) Short-Term Capital Lease Obligation : C$0.00 Mil (As of Mar. 2024)


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What is Scope AI Short-Term Capital Lease Obligation?

Scope AI's Short-Term Capital Lease Obligation for the quarter that ended in Mar. 2024 was C$0.00 Mil.

Scope AI Short-Term Capital Lease Obligation Historical Data

The historical data trend for Scope AI's Short-Term Capital Lease Obligation 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 Short-Term Capital Lease Obligation Chart

Scope AI Annual Data
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Short-Term Capital Lease Obligation
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Scope AI Quarterly Data
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Scope AI Short-Term Capital Lease Obligation Explanation

Short-Term Capital Lease Obligation represents the total amount of Long-Term Capital Lease Obligation that must be paid within the next accounting period. Capital lease obligations are contractual obligations that arise from obtaining the use of property or equipment via a capital lease contract.

Scope AI Short-Term Capital Lease Obligation Related Terms

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Scope AI (XCNQ:SCPE) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Scope AI Corp (XCNQ:SCPE) » Definitions » Short-Term Capital Lease Obligation
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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.