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Matriks Bilgi Dagitim Hizmetleri AS (IST:MTRKS) Debt-to-EBITDA : 0.01 (As of Sep. 2024)


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What is Matriks Bilgi Dagitim Hizmetleri AS Debt-to-EBITDA?

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

Matriks Bilgi Dagitim Hizmetleri AS's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2024 was ₺0.7 Mil. Matriks Bilgi Dagitim Hizmetleri AS's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Sep. 2024 was ₺0.5 Mil. Matriks Bilgi Dagitim Hizmetleri AS's annualized EBITDA for the quarter that ended in Sep. 2024 was ₺102.5 Mil. Matriks Bilgi Dagitim Hizmetleri AS's annualized Debt-to-EBITDA for the quarter that ended in Sep. 2024 was 0.01.

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 Matriks Bilgi Dagitim Hizmetleri AS's Debt-to-EBITDA or its related term are showing as below:

IST:MTRKS' s Debt-to-EBITDA Range Over the Past 10 Years
Min: 0.01   Med: 0.11   Max: 1.92
Current: 0.01

During the past 7 years, the highest Debt-to-EBITDA Ratio of Matriks Bilgi Dagitim Hizmetleri AS was 1.92. The lowest was 0.01. And the median was 0.11.

IST:MTRKS's Debt-to-EBITDA is not ranked
in the Capital Markets industry.
Industry Median: 1.52 vs IST:MTRKS: 0.01

Matriks Bilgi Dagitim Hizmetleri AS Debt-to-EBITDA Historical Data

The historical data trend for Matriks Bilgi Dagitim Hizmetleri AS'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.

Matriks Bilgi Dagitim Hizmetleri AS Debt-to-EBITDA Chart

Matriks Bilgi Dagitim Hizmetleri AS Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial 0.88 0.11 0.04 0.02 0.01

Matriks Bilgi Dagitim Hizmetleri AS Quarterly Data
Sep19 Dec19 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
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 - 0.01 0.01 0.01 0.01

Competitive Comparison of Matriks Bilgi Dagitim Hizmetleri AS's Debt-to-EBITDA

For the Financial Data & Stock Exchanges subindustry, Matriks Bilgi Dagitim Hizmetleri AS'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.


Matriks Bilgi Dagitim Hizmetleri AS's Debt-to-EBITDA Distribution in the Capital Markets Industry

For the Capital Markets industry and Financial Services sector, Matriks Bilgi Dagitim Hizmetleri AS's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Matriks Bilgi Dagitim Hizmetleri AS's Debt-to-EBITDA falls into.



Matriks Bilgi Dagitim Hizmetleri AS Debt-to-EBITDA Calculation

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

Matriks Bilgi Dagitim Hizmetleri AS'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
=(0.991 + 1.366) / 169.54
=0.01

Matriks Bilgi Dagitim Hizmetleri AS's annualized Debt-to-EBITDA for the quarter that ended in Sep. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.677 + 0.484) / 102.536
=0.01

* 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 (Sep. 2024) EBITDA data.


Matriks Bilgi Dagitim Hizmetleri AS  (IST:MTRKS) 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.


Matriks Bilgi Dagitim Hizmetleri AS Debt-to-EBITDA Related Terms

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


Matriks Bilgi Dagitim Hizmetleri AS Business Description

Traded in Other Exchanges
N/A
Address
Izzetpasa Mahallesi, Yeni Yol Cad. No 3, Nurol Tower, Kat: 18 D: 125 Office 1808, Istanbul, TUR, 34381
Matriks Bilgi Dagitim Hizmetleri AS is a software house that offers financial solutions and a fintech company that offers end-to-end solutions. Its basic products and services include presenting the data of domestic and foreign financial markets in real-time with analysis and transaction opportunities, presentation of news, statements, and reports concerning the markets, trading platforms, order and risk management systems, mobile apps, intelligent data solutions, commodity trading and data tools, artificial intelligence supported analysis and trading platforms for Energy Markets, HFT, and Algorithmic Trading platforms.

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