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Jianpu Technology (FRA:JT13) Debt-to-EBITDA : -21.83 (As of Dec. 2023)


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What is Jianpu Technology Debt-to-EBITDA?

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

Jianpu Technology's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €30.6 Mil. Jianpu Technology's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was €0.0 Mil. Jianpu Technology's annualized EBITDA for the quarter that ended in Dec. 2023 was €-1.4 Mil. Jianpu Technology's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -21.83.

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 Jianpu Technology's Debt-to-EBITDA or its related term are showing as below:

FRA:JT13' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -5.78   Med: -0.8   Max: -0.31
Current: -5.39

During the past 9 years, the highest Debt-to-EBITDA Ratio of Jianpu Technology was -0.31. The lowest was -5.78. And the median was -0.80.

FRA:JT13's Debt-to-EBITDA is ranked worse than
100% of 261 companies
in the Credit Services industry
Industry Median: 7.27 vs FRA:JT13: -5.39

Jianpu Technology Debt-to-EBITDA Historical Data

The historical data trend for Jianpu Technology'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.

Jianpu Technology Debt-to-EBITDA Chart

Jianpu Technology Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only -0.31 -0.58 -0.75 -1.86 -5.78

Jianpu Technology Quarterly Data
Sep18 Dec18 Mar19 Jun19 Sep19 Dec19 Jun20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 -1.93 -2.75 -6.97 -7.28 -21.83

Competitive Comparison of Jianpu Technology's Debt-to-EBITDA

For the Credit Services subindustry, Jianpu Technology'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.


Jianpu Technology's Debt-to-EBITDA Distribution in the Credit Services Industry

For the Credit Services industry and Financial Services sector, Jianpu Technology's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Jianpu Technology's Debt-to-EBITDA falls into.



Jianpu Technology Debt-to-EBITDA Calculation

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

Jianpu Technology'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
=(30.646 + 0) / -5.298
=-5.78

Jianpu Technology's annualized Debt-to-EBITDA for the quarter 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
=(30.646 + 0) / -1.404
=-21.83

* 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 (Dec. 2023) EBITDA data.


Jianpu Technology  (FRA:JT13) 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.


Jianpu Technology Debt-to-EBITDA Related Terms

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


Jianpu Technology (FRA:JT13) Business Description

Traded in Other Exchanges
Address
19 South Haidian Road, 5F Times Cyber Building, Haidian District, Beijing, CHN, 100086
Jianpu Technology Inc is an independent open platform for providing online discovery and recommendation services for financial products in China. The company provides users with personalized search results and recommendations services such as loan applications, credit card services, and advertising and marketing services to its financial needs and credit profile. The individual users have access to financial products through the platform, including credit cards, and wealth management products. In addition, it also offers data risk management solutions to financial service providers which help in application approval, fraud detection and prevention and other credit underwriting processes. The company generates revenues from fees charged for services for loan products.

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