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SyntekaBio (XKRX:226330) Debt-to-Revenue : 5.21 (As of Mar. 2025)


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What is SyntekaBio Debt-to-Revenue?

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

SyntekaBio's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2025 was ₩18,090.8 Mil. SyntekaBio's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2025 was ₩10.7 Mil. SyntekaBio's annualized Revenue for the quarter that ended in Mar. 2025 was ₩3,475.2 Mil. SyntekaBio's annualized Debt-to-Revenue for the quarter that ended in Mar. 2025 was 5.21.


SyntekaBio Debt-to-Revenue Historical Data

The historical data trend for SyntekaBio'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.

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SyntekaBio Debt-to-Revenue Chart

SyntekaBio Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Debt-to-Revenue
Get a 7-Day Free Trial 1.68 27.90 45.58 16.97 60.50

SyntekaBio Quarterly Data
Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25
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 88.08 1,950.75 3,331.11 16.15 5.21

Competitive Comparison of SyntekaBio's Debt-to-Revenue

For the Health Information Services subindustry, SyntekaBio'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.


SyntekaBio's Debt-to-Revenue Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, SyntekaBio's Debt-to-Revenue distribution charts can be found below:

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


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SyntekaBio Debt-to-Revenue Calculation

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

SyntekaBio'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
=(7301.615 + 12.389) / 120.887
=60.50

SyntekaBio's annualized Debt-to-Revenue for the quarter that ended in Mar. 2025 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(18090.767 + 10.718) / 3475.22
=5.21

* 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 (Mar. 2025) Revenue data.


SyntekaBio Debt-to-Revenue Related Terms

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SyntekaBio Business Description

Traded in Other Exchanges
N/A
Address
187, Techno 2-ro, Yuseong-gu, Bi-dong, Yongsan-dong, Megan Techno World 2nd, Daejeon, KOR, 512
SyntekaBio Inc is a bioinformatics venture firm. It is engaged in gene-related research, technology development, and genetic analysis based on the genome big data platform and artificial intelligence deep learning drug development platform. The company manages and analyzes genome analysis and massive biodata and genome.

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