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True Data (TSE:4416) Liabilities-to-Assets : 0.23 (As of Dec. 2023)


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What is True Data 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. True Data's Total Liabilities for the quarter that ended in Dec. 2023 was 円293 Mil. True Data's Total Assets for the quarter that ended in Dec. 2023 was 円1,269 Mil. Therefore, True Data's Liabilities-to-Assets Ratio for the quarter that ended in Dec. 2023 was 0.23.


True Data Liabilities-to-Assets Historical Data

The historical data trend for True Data'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.

True Data Liabilities-to-Assets Chart

True Data Annual Data
Trend Mar20 Mar21 Mar22 Mar23
Liabilities-to-Assets
0.32 0.40 0.29 0.24

True Data Quarterly Data
Mar20 Mar21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Liabilities-to-Assets Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.23 0.24 0.26 0.25 0.23

Competitive Comparison of True Data's Liabilities-to-Assets

For the Software - Application subindustry, True Data'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.


True Data's Liabilities-to-Assets Distribution in the Software Industry

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

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



True Data 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.

True Data's Liabilities-to-Assets Ratio for the fiscal year that ended in Mar. 2023 is calculated as:

Liabilities-to-Assets (A: Mar. 2023 )=Total Liabilities/Total Assets
=307.638/1278.029
=0.24

True Data'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
=293.481/1269.291
=0.23

* 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.


True Data  (TSE:4416) 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.


True Data Liabilities-to-Assets Related Terms

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True Data (TSE:4416) Business Description

Traded in Other Exchanges
N/A
Address
1-10-11 Shibadaimon, Minato-ku, Tokyo, JPN, 105?0012
True Data Inc operates a big data platform that handles consumer purchasing data nationwide. It develops and provides consumer data analysis and purchasing behavior analysis solutions such as POS / ID-POS to retailers and consumer goods manufacturers.

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