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

Scope AI (XCNQ:SCPE) Total Liabilities : C$0.05 Mil (As of Mar. 2024)


View and export this data going back to 2022. Start your Free Trial

What is Scope AI Total Liabilities?

Scope AI's Total Liabilities for the quarter that ended in Mar. 2024 was C$0.05 Mil.

Scope AI's quarterly Total Liabilities declined from Sep. 2023 (C$0.36 Mil) to Dec. 2023 (C$0.25 Mil) and declined from Dec. 2023 (C$0.25 Mil) to Mar. 2024 (C$0.05 Mil).

Scope AI's annual Total Liabilities increased from Sep. 2021 (C$0.01 Mil) to Sep. 2022 (C$0.13 Mil) and increased from Sep. 2022 (C$0.13 Mil) to Sep. 2023 (C$0.36 Mil).

Scope AI Total Liabilities Historical Data

The historical data trend for Scope AI's Total 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.

* Premium members only.

Scope AI Total Liabilities Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Total Liabilities
0.01 0.13 0.36

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Total Liabilities Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only 0.03 0.08 0.36 0.25 0.05

Scope AI Total Liabilities Calculation

Total Liabilities are the liabilities that the company has to pay others. It is a part of the balance sheet of a company that shareholders do not own, and would be obligated to pay back if the company liquidated.

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

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=0.358+(0+0
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit)
+0+0)
=0.36

Total Liabilities=Total Assets (A: Sep. 2023 )-Total Equity (A: Sep. 2023 )
=0.147--0.212
=0.36

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

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=0.046+(0+0
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit)
+0+0)
=0.05

Total Liabilities=Total Assets (Q: Mar. 2024 )-Total Equity (Q: Mar. 2024 )
=1.759-1.714
=0.04

* 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 Liabilities Related Terms

Thank you for viewing the detailed overview of Scope AI's Total Liabilities provided by GuruFocus.com. Please click on the following links to see related term pages.

Scope AI (XCNQ:SCPE) Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Scope AI Corp (XCNQ:SCPE) » Definitions » Total Liabilities
Comparable Companies
TSX:GIVX NEOE:BTQ XCNQ:CYBT TSX:MOGO XCNQ:BYND TSXV:NBVA TSX:OPT TSXV:CLIP XCNQ:PKK TSXV:FOBI MSFT ORCL ADBE PANW SNPS VMW FTNT CRWD PLTR SQ
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.