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XIAO-I (XIAO-I) Liabilities-to-Assets : 1.13 (As of Dec. 2023)


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What is XIAO-I 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. XIAO-I's Total Liabilities for the quarter that ended in Dec. 2023 was $74.80 Mil. XIAO-I's Total Assets for the quarter that ended in Dec. 2023 was $66.33 Mil. Therefore, XIAO-I's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2023 was 1.13.


XIAO-I Liabilities-to-Assets Historical Data

The historical data trend for XIAO-I'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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XIAO-I Liabilities-to-Assets Chart

XIAO-I Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Liabilities-to-Assets
1.26 1.07 1.15 1.13

XIAO-I Semi-Annual Data
Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Liabilities-to-Assets Get a 7-Day Free Trial 1.07 1.05 1.15 0.99 1.13

Competitive Comparison of XIAO-I's Liabilities-to-Assets

For the Software - Application subindustry, XIAO-I'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.


XIAO-I's Liabilities-to-Assets Distribution in the Software Industry

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

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



XIAO-I 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.

XIAO-I's Liabilities-to-Assets Ratio for the fiscal year that ended in Dec. 2023 is calculated as:

Liabilities-to-Assets (A: Dec. 2023 )=Total Liabilities/Total Assets
=74.801/66.334
=1.13

XIAO-I's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2023 is calculated as

Liabilities-to-Assets (Q: Dec. 2023 )=Total Liabilities/Total Assets
=74.801/66.334
=1.13

* 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.


XIAO-I  (NAS:AIXI) 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.


XIAO-I Liabilities-to-Assets Related Terms

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XIAO-I (XIAO-I) Business Description

Industry
Traded in Other Exchanges
N/A
Address
No. 1555, West Jinshajiang Road, 7th floor, Building 398, Shanghai, CHN, 201803
XIAO-I Corp is an AI industrialization company focusing on the AI Cognitive Intelligence platform. The platform combines six core technologies including Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Affective Computing, Data Intelligence, and Hyper- automation. Based on the platform, The company developed products and solutions in the fields of Al+ Contact Center, Al+ Finance, Al+ City Public Service, Al+ Architecture, Al+ Metaverse, Al+ Manufacturing, and Al+ Healthcare. It generates revenue from the sale of software products and services, M&S services, and the sale of cloud platform products.