Stella Diagnostics (Stella Diagnostics) Liabilities-to-Assets : 38.24 (As of Sep. 2023)

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What is Stella Diagnostics 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. Stella Diagnostics's Total Liabilities for the quarter that ended in Sep. 2023 was $16.86 Mil. Stella Diagnostics's Total Assets for the quarter that ended in Sep. 2023 was $0.44 Mil. Therefore, Stella Diagnostics's Liabilities-to-Assets Ratio for the quarter that ended in Sep. 2023 was 38.24.

Stella Diagnostics Liabilities-to-Assets Historical Data

The historical data trend for Stella Diagnostics'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.

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Stella Diagnostics Liabilities-to-Assets Chart

Stella Diagnostics Annual Data

Trend

Liabilities-to-Assets

Stella Diagnostics Quarterly Data
	Sep22	Sep23
Liabilities-to-Assets	-	38.24

Competitive Comparison of Stella Diagnostics's Liabilities-to-Assets

For the Diagnostics & Research subindustry, Stella Diagnostics'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.

Stella Diagnostics's Liabilities-to-Assets Distribution in the Medical Diagnostics & Research Industry

For the Medical Diagnostics & Research industry and Healthcare sector, Stella Diagnostics's Liabilities-to-Assets distribution charts can be found below:

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

Stella Diagnostics 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.

Stella Diagnostics's Liabilities-to-Assets Ratio for the fiscal year that ended in . 20 is calculated as:

Liabilities-to-Assets (A: . 20 )	=	Total Liabilities	/	Total Assets
	=		/
	=	N/A

Stella Diagnostics's Liabilities-to-Assets Ratio for the quarter that ended in Sep. 2023 is calculated as

Liabilities-to-Assets (Q: Sep. 2023 )	=	Total Liabilities	/	Total Assets
	=	16.864	/	0.441
	=	38.24

Stella Diagnostics (OTCPK:SLDX) 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.

Stella Diagnostics Liabilities-to-Assets Related Terms

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Stella Diagnostics (Stella Diagnostics) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Medical Diagnostics & Research » Stella Diagnostics Inc (OTCPK:SLDX) » Definitions » Liabilities-to-Assets

Comparable Companies

Traded in Other Exchanges

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Address

50 West Broadway, Suite 300, Salt Lake City, UT, USA, 84104

Website

https://www.stelladx.com

Stella Diagnostics Inc is a molecular diagnostics-based organization focused on improving patient management strategies for people living with severe esophageal disease. It is developing first-line diagnostic tools that provide superior molecular information for providers as compared to the current standard screening protocols.