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Microprogram Information Co (ROCO:7721) Debt-to-EBITDA : 1.00 (As of Dec. 2024)


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What is Microprogram Information Co Debt-to-EBITDA?

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

Microprogram Information Co's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was NT$24.5 Mil. Microprogram Information Co's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was NT$112.3 Mil. Microprogram Information Co's annualized EBITDA for the quarter that ended in Dec. 2024 was NT$136.8 Mil. Microprogram Information Co's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2024 was 1.00.

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 Microprogram Information Co's Debt-to-EBITDA or its related term are showing as below:

ROCO:7721' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -11.05   Med: 0.57   Max: 1.96
Current: 0.63

During the past 5 years, the highest Debt-to-EBITDA Ratio of Microprogram Information Co was 1.96. The lowest was -11.05. And the median was 0.57.

ROCO:7721's Debt-to-EBITDA is ranked better than
62.31% of 1669 companies
in the Software industry
Industry Median: 1.08 vs ROCO:7721: 0.63

Microprogram Information Co Debt-to-EBITDA Historical Data

The historical data trend for Microprogram Information Co'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.

Microprogram Information Co Debt-to-EBITDA Chart

Microprogram Information Co Annual Data
Trend Dec20 Dec21 Dec22 Dec23 Dec24
Debt-to-EBITDA
N/A -11.05 1.96 0.52 0.63

Microprogram Information Co Semi-Annual Data
Dec20 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
Debt-to-EBITDA Get a 7-Day Free Trial 1.36 1.62 0.32 0.43 1.00

Competitive Comparison of Microprogram Information Co's Debt-to-EBITDA

For the Software - Infrastructure subindustry, Microprogram Information Co'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.


Microprogram Information Co's Debt-to-EBITDA Distribution in the Software Industry

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

* The bar in red indicates where Microprogram Information Co's Debt-to-EBITDA falls into.


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Microprogram Information Co Debt-to-EBITDA Calculation

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

Microprogram Information Co's Debt-to-EBITDA for the fiscal year that ended in Dec. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(24.504 + 112.25) / 216.311
=0.63

Microprogram Information Co's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(24.504 + 112.25) / 136.76
=1.00

* 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 two times the quarterly (Dec. 2024) EBITDA data.


Microprogram Information Co  (ROCO:7721) 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.


Microprogram Information Co Debt-to-EBITDA Related Terms

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


Microprogram Information Co Business Description

Traded in Other Exchanges
N/A
Address
7th Floor, No. 402, Zhengshi Road, Xitun District, Taichung, TWN, 407
Microprogram Information Co is a company that provides industrial IoT technology services and is committed to allowing their clients to have a better and sustainable life. They focus on the three major areas of electronic payment, wireless sensing and cloud data. Through user research, vertical integration of software and hardware technologies, terminal sensor devices, mobile apps, cloud service platforms and core technologies of big data analysis, we assist transportation and finance, retail, manufacturing, bicycle and other industries to innovate and upgrade. They assist you from definition of requirements, concept creation, product development, to service optimization, using the advantages of software and hardware integration technology.

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