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Scope AI (XCNQ:SCPE) Liabilities-to-Assets : 0.03 (As of Mar. 2024)


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What is Scope AI Liabilities-to-Assets?

Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities, calculated as total liabilities divided by total asset. Scope AI's Total Liabilities for the quarter that ended in Mar. 2024 was C$0.05 Mil. Scope AI's Total Assets for the quarter that ended in Mar. 2024 was C$1.76 Mil. Therefore, Scope AI's Liabilities-to-Assets Ratio for the quarter that ended in Mar. 2024 was 0.03.


Scope AI Liabilities-to-Assets Historical Data

The historical data trend for Scope AI's Liabilities-to-Assets 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 Liabilities-to-Assets Chart

Scope AI Annual Data
Trend Sep21 Sep22 Sep23
Liabilities-to-Assets
1.00 0.11 2.44

Scope AI Quarterly Data
Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Liabilities-to-Assets Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only 0.05 0.14 2.44 0.19 0.03

Competitive Comparison of Scope AI's Liabilities-to-Assets

For the Software - Infrastructure subindustry, Scope AI's Liabilities-to-Assets, along with its competitors' market caps and Liabilities-to-Assets data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Scope AI's Liabilities-to-Assets Distribution in the Software Industry

For the Software industry and Technology sector, Scope AI's Liabilities-to-Assets distribution charts can be found below:

* The bar in red indicates where Scope AI's Liabilities-to-Assets falls into.



Scope AI Liabilities-to-Assets Calculation

Liabilities-to-Assets ratio measures the portion of the total liabilities to the total asset. It indicates the leverage of the company, and the amount of debt the company uses in its operation.

Liabilities-to-Assets ratio is calculated by dividing total liabilities by total asset.

Scope AI's Liabilities-to-Assets Ratio for the fiscal year that ended in Sep. 2023 is calculated as:

Liabilities-to-Assets (A: Sep. 2023 )=Total Liabilities/Total Assets
=0.358/0.147
=2.44

Scope AI's Liabilities-to-Assets Ratio for the quarter that ended in Mar. 2024 is calculated as

Liabilities-to-Assets (Q: Mar. 2024 )=Total Liabilities/Total Assets
=0.046/1.759
=0.03

* 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  (XCNQ:SCPE) Liabilities-to-Assets Explanation

Liabilities-to-Assets is a solvency ratio indicating how much of the company’s assets are made of liabilities. It can vary greatly across different industries, as they have different capital structure. A high Liabilities-to-Assets ratio (more leveraged) suggests that the company might have potential solvency problems, or even a signal of financial distress. Conversely, a low Liabilities-to-Assets ratio usually indicates a healthy financial situation. However, it may also suggest that the company is not expanding or not making good use of debt.


Scope AI Liabilities-to-Assets 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.