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Black Box (BOM:500463) Debt-to-EBITDA : 0.00 (As of Dec. 2023)


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What is Black Box Debt-to-EBITDA?

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

Black Box's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was ₹0 Mil. Black Box's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was ₹0 Mil. Black Box's annualized EBITDA for the quarter that ended in Dec. 2023 was ₹4,634 Mil. Black Box's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was 0.00.

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 Black Box's Debt-to-EBITDA or its related term are showing as below:

BOM:500463' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -31.92   Med: 2.49   Max: 16.81
Current: 1.76

During the past 13 years, the highest Debt-to-EBITDA Ratio of Black Box was 16.81. The lowest was -31.92. And the median was 2.49.

BOM:500463's Debt-to-EBITDA is ranked worse than
63.61% of 1616 companies
in the Software industry
Industry Median: 1.005 vs BOM:500463: 1.76

Black Box Debt-to-EBITDA Historical Data

The historical data trend for Black Box'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.

Black Box Debt-to-EBITDA Chart

Black Box Annual Data
Trend Mar14 Mar15 Mar16 Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only -31.92 5.61 1.42 1.86 2.53

Black Box Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 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 - 1.86 - 1.78 -

Competitive Comparison of Black Box's Debt-to-EBITDA

For the Software - Application subindustry, Black Box'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.


Black Box's Debt-to-EBITDA Distribution in the Software Industry

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

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



Black Box Debt-to-EBITDA Calculation

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

Black Box's Debt-to-EBITDA for the fiscal year that ended in Mar. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(1014.5 + 5266) / 2482.1
=2.53

Black Box'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
=(0 + 0) / 4634.4
=0.00

* 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.


Black Box  (BOM:500463) 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.


Black Box Debt-to-EBITDA Related Terms

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


Black Box (BOM:500463) Business Description

Traded in Other Exchanges
Address
Building No. 9, Airoli Knowledge Park, 501, 5th Floor, MIDC Industrial Area, Airoli, Navi Mumbai, MH, IND, 400 708
Black Box Ltd along with its subsidiaries provides information, communications technology solutions provider, and an integrator that delivers technology-based solutions across world markets and verticals with a spectrum of applications and services. The company's operating segments are System Integration (SI); Technology Product Solution (TPS) and Others comprising of training and consulting services. It generates maximum revenue from the System Integration (SI) segment. The company exports its product to the Middle East/Africa, North America, Australia, New Zealand, Singapore, and Europe. Its solution line consists of unified communications, network infrastructure and data center, cyber security (CYBER-i), and digital transformation and applications.

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