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Bright Future Technology Holdings (HKSE:01351) Debt-to-EBITDA : 8.32 (As of Dec. 2023)


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What is Bright Future Technology Holdings Debt-to-EBITDA?

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

Bright Future Technology Holdings's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was HK$156.5 Mil. Bright Future Technology Holdings's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was HK$35.4 Mil. Bright Future Technology Holdings's annualized EBITDA for the quarter that ended in Dec. 2023 was HK$23.1 Mil. Bright Future Technology Holdings's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was 8.32.

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

HKSE:01351' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -16.98   Med: 0.73   Max: 7.25
Current: 7.25

During the past 7 years, the highest Debt-to-EBITDA Ratio of Bright Future Technology Holdings was 7.25. The lowest was -16.98. And the median was 0.73.

HKSE:01351's Debt-to-EBITDA is ranked worse than
86.68% of 668 companies
in the Media - Diversified industry
Industry Median: 1.69 vs HKSE:01351: 7.25

Bright Future Technology Holdings Debt-to-EBITDA Historical Data

The historical data trend for Bright Future Technology Holdings'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.

Bright Future Technology Holdings Debt-to-EBITDA Chart

Bright Future Technology Holdings Annual Data
Trend Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial 0.73 1.15 3.82 -16.98 6.29

Bright Future Technology Holdings Semi-Annual Data
Dec17 Dec18 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23
Debt-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only -1.76 1.57 -2.45 5.51 8.32

Competitive Comparison of Bright Future Technology Holdings's Debt-to-EBITDA

For the Advertising Agencies subindustry, Bright Future Technology Holdings'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.


Bright Future Technology Holdings's Debt-to-EBITDA Distribution in the Media - Diversified Industry

For the Media - Diversified industry and Communication Services sector, Bright Future Technology Holdings's Debt-to-EBITDA distribution charts can be found below:

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



Bright Future Technology Holdings Debt-to-EBITDA Calculation

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

Bright Future Technology Holdings'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
=(156.511 + 35.397) / 30.521
=6.29

Bright Future Technology Holdings'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
=(156.511 + 35.397) / 23.066
=8.32

* 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 two times the quarterly (Dec. 2023) EBITDA data.


Bright Future Technology Holdings  (HKSE:01351) 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.


Bright Future Technology Holdings Debt-to-EBITDA Related Terms

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


Bright Future Technology Holdings (HKSE:01351) Business Description

Traded in Other Exchanges
N/A
Address
Xinghai Mingcheng Community, Rooms 201-02 & 201-03, Phase 7, Nantou Jiedao Nanshan District, Shenzhen, CHN
Bright Future Technology Holdings Ltd is a mobile advertising company offering one-stop and tailor-made advertising services to customers in China. It is engaged in the provision of intelligent marketing solutions services in the PRC. It offers customers comprehensive mobile advertising services from promotion planning, advertisement production, and placement to post-publication monitoring to optimize the promotional effectiveness for customers. Its customers have advertising needs at mobile internet media, either for maximizing exposure of their products through advertising or to achieve specific advertising results.
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