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Selvas AI (XKRX:108860) Debt-to-Revenue : 0.16 (As of Dec. 2024)


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What is Selvas AI Debt-to-Revenue?

Debt-to-Revenue measures a company's ability to pay off its debt.

Selvas AI's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was ₩18,393 Mil. Selvas AI's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was ₩768 Mil. Selvas AI's annualized Revenue for the quarter that ended in Dec. 2024 was ₩120,042 Mil. Selvas AI's annualized Debt-to-Revenue for the quarter that ended in Dec. 2024 was 0.16.


Selvas AI Debt-to-Revenue Historical Data

The historical data trend for Selvas AI's Debt-to-Revenue 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.

Selvas AI Debt-to-Revenue Chart

Selvas AI Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Debt-to-Revenue
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.84 0.56 0.42 0.22 0.17

Selvas AI Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
Debt-to-Revenue Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.21 0.20 0.21 0.17 0.16

Competitive Comparison of Selvas AI's Debt-to-Revenue

For the Software - Application subindustry, Selvas AI's Debt-to-Revenue, along with its competitors' market caps and Debt-to-Revenue 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.


Selvas AI's Debt-to-Revenue Distribution in the Software Industry

For the Software industry and Technology sector, Selvas AI's Debt-to-Revenue distribution charts can be found below:

* The bar in red indicates where Selvas AI's Debt-to-Revenue falls into.


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Selvas AI Debt-to-Revenue Calculation

Debt-to-Revenue measures a company's ability to pay off its debt.

Selvas AI's Debt-to-Revenue for the fiscal year that ended in Dec. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(18393.333 + 768.185) / 112454.363
=0.17

Selvas AI's annualized Debt-to-Revenue for the quarter that ended in Dec. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(18393.333 + 768.185) / 120042.1
=0.16

* 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.

In the calculation of annual Debt-to-Revenue, the Revenue of the last fiscal year is used. In calculating the annualized quarterly data, the Revenue data used here is four times the quarterly (Dec. 2024) Revenue data.


Selvas AI Debt-to-Revenue Related Terms

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Selvas AI Business Description

Traded in Other Exchanges
N/A
Address
Gasan Digital 1-ro, No. 19, 20th Floor, Geumcheon-gu, Seoul, KOR
Selvas AI Inc is a Korea-based company engaged in the development and provision of application solutions. Its solutions include voice recognition, handwriting recognition, OCR application, TTS solution, and language processing technology based mobile dictionaries.

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