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Suzhou Agioe Technologies Co (SHSE:688450) Debt-to-EBITDA : -1.57 (As of Mar. 2024)


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What is Suzhou Agioe Technologies Co Debt-to-EBITDA?

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

Suzhou Agioe Technologies Co's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ¥107.6 Mil. Suzhou Agioe Technologies Co's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ¥0.4 Mil. Suzhou Agioe Technologies Co's annualized EBITDA for the quarter that ended in Mar. 2024 was ¥-68.9 Mil. Suzhou Agioe Technologies Co's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 was -1.57.

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 Suzhou Agioe Technologies Co's Debt-to-EBITDA or its related term are showing as below:

SHSE:688450' s Debt-to-EBITDA Range Over the Past 10 Years
Min: 0.3   Med: 0.98   Max: 2.27
Current: 2.27

During the past 5 years, the highest Debt-to-EBITDA Ratio of Suzhou Agioe Technologies Co was 2.27. The lowest was 0.30. And the median was 0.98.

SHSE:688450's Debt-to-EBITDA is ranked worse than
58.17% of 2290 companies
in the Industrial Products industry
Industry Median: 1.72 vs SHSE:688450: 2.27

Suzhou Agioe Technologies Co Debt-to-EBITDA Historical Data

The historical data trend for Suzhou Agioe Technologies 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.

Suzhou Agioe Technologies Co Debt-to-EBITDA Chart

Suzhou Agioe Technologies Co Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
1.43 0.53 0.30 0.98 1.72

Suzhou Agioe Technologies Co Quarterly Data
Dec19 Dec20 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Debt-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -1.95 0.95 -3.64 0.61 -1.57

Competitive Comparison of Suzhou Agioe Technologies Co's Debt-to-EBITDA

For the Specialty Industrial Machinery subindustry, Suzhou Agioe Technologies 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.


Suzhou Agioe Technologies Co's Debt-to-EBITDA Distribution in the Industrial Products Industry

For the Industrial Products industry and Industrials sector, Suzhou Agioe Technologies Co's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Suzhou Agioe Technologies Co's Debt-to-EBITDA falls into.



Suzhou Agioe Technologies Co Debt-to-EBITDA Calculation

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

Suzhou Agioe Technologies Co'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
=(92.298 + 0.728) / 54.16
=1.72

Suzhou Agioe Technologies Co's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(107.599 + 0.366) / -68.936
=-1.57

* 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 (Mar. 2024) EBITDA data.


Suzhou Agioe Technologies Co  (SHSE:688450) 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.


Suzhou Agioe Technologies Co Debt-to-EBITDA Related Terms

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


Suzhou Agioe Technologies Co (SHSE:688450) Business Description

Traded in Other Exchanges
N/A
Address
No. 270 Dongping Street, 3C, 3D, Aoyang Shunchang Building, Suzhou Industrial Park, Jiangsu, Suzhou, CHN, 215123
Suzhou Agioe Technologies Co Ltd is a high-tech enterprise focusing on the research, development, production and sales of a new generation of optical fiber sensing network and asset digital operation and maintenance management system. The company has formed a series of products such as power facility asset monitoring operation and maintenance management system, submarine cable asset monitoring operation and maintenance management system, and integrated pipeline asset monitoring operation and maintenance management system, which are widely used in power grids, offshore wind power, integrated pipelines, petroleum and petrochemical and other important areas of the national economy.

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