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Beijing Paratera Tech (BJSE:839493) Debt-to-EBITDA : 13.80 (As of Mar. 2024)


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What is Beijing Paratera Tech Debt-to-EBITDA?

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

Beijing Paratera Tech's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ¥254.2 Mil. Beijing Paratera Tech's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ¥20.8 Mil. Beijing Paratera Tech's annualized EBITDA for the quarter that ended in Mar. 2024 was ¥19.9 Mil. Beijing Paratera Tech's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 was 13.79.

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt. According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.

The historical rank and industry rank for Beijing Paratera Tech's Debt-to-EBITDA or its related term are showing as below:

BJSE:839493' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -11.7   Med: -0.11   Max: 6.32
Current: -6.18

During the past 10 years, the highest Debt-to-EBITDA Ratio of Beijing Paratera Tech was 6.32. The lowest was -11.70. And the median was -0.11.

BJSE:839493's Debt-to-EBITDA is ranked worse than
100% of 1616 companies
in the Software industry
Industry Median: 1.005 vs BJSE:839493: -6.18

Beijing Paratera Tech Debt-to-EBITDA Historical Data

The historical data trend for Beijing Paratera Tech's Debt-to-EBITDA 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.

Beijing Paratera Tech Debt-to-EBITDA Chart

Beijing Paratera Tech Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.42 -4.22 -5.74 -11.70 6.32

Beijing Paratera Tech Quarterly Data
Dec18 Jun19 Sep19 Dec19 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Debt-to-EBITDA 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 -1.57 -3.90 -6.38 -1.75 13.80

Competitive Comparison of Beijing Paratera Tech's Debt-to-EBITDA

For the Software - Infrastructure subindustry, Beijing Paratera Tech's Debt-to-EBITDA, along with its competitors' market caps and Debt-to-EBITDA 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.


Beijing Paratera Tech's Debt-to-EBITDA Distribution in the Software Industry

For the Software industry and Technology sector, Beijing Paratera Tech's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Beijing Paratera Tech's Debt-to-EBITDA falls into.



Beijing Paratera Tech Debt-to-EBITDA Calculation

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

Beijing Paratera Tech's Debt-to-EBITDA for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(209.336 + 24.649) / 37.005
=6.32

Beijing Paratera Tech's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(254.186 + 20.77) / 19.932
=13.79

* 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-EBITDA, the EBITDA of the last fiscal year is used. In calculating the annualized quarterly data, the EBITDA data used here is four times the quarterly (Mar. 2024) EBITDA data.


Beijing Paratera Tech  (BJSE:839493) Debt-to-EBITDA Explanation

In the calculation of Debt-to-EBITDA, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by EBITDA. In some calculations, Total Liabilities is used to for calculation.


Be Aware

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt.

According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.


Beijing Paratera Tech Debt-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Beijing Paratera Tech's Debt-to-EBITDA provided by GuruFocus.com. Please click on the following links to see related term pages.


Beijing Paratera Tech (BJSE:839493) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
No. 10 Xibeiwang East Road, Room 101-301, Building 21,3rd Floor, Haidian, Beijing, CHN, 100094
Beijing Paratera Tech Corp Ltd is a leading domestic supercomputing cloud service and operation service provider, providing supercomputing cloud, industry cloud, intelligence Computing cloud, design simulation cloud and computing resource construction and operation services. As China's national grid service company, a domestic high-tech enterprise, and a dual-software enterprise, Parallel Technology aggregates the computing resources of major supercomputing centers across the country, targeting enterprises and institutions and scientific research institutions in energy, manufacturing, meteorology, scientific research and education, telecommunications, finance, animation, etc. The institute provides supercomputing cloud services.

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