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One Stop Systems (FRA:5MU) Debt-to-Revenue : 0.07 (As of Mar. 2024)


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What is One Stop Systems Debt-to-Revenue?

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

One Stop Systems's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was €1.63 Mil. One Stop Systems's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was €1.56 Mil. One Stop Systems's annualized Revenue for the quarter that ended in Mar. 2024 was €46.56 Mil. One Stop Systems's annualized Debt-to-Revenue for the quarter that ended in Mar. 2024 was 0.07.


One Stop Systems Debt-to-Revenue Historical Data

The historical data trend for One Stop Systems's Debt-to-Revenue 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.

One Stop Systems Debt-to-Revenue Chart

One Stop Systems Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-Revenue
Get a 7-Day Free Trial Premium Member Only 0.04 0.10 0.06 0.06 0.07

One Stop Systems Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Debt-to-Revenue 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 0.06 0.05 0.08 0.08 0.07

Competitive Comparison of One Stop Systems's Debt-to-Revenue

For the Computer Hardware subindustry, One Stop Systems's Debt-to-Revenue, along with its competitors' market caps and Debt-to-Revenue 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.


One Stop Systems's Debt-to-Revenue Distribution in the Hardware Industry

For the Hardware industry and Technology sector, One Stop Systems's Debt-to-Revenue distribution charts can be found below:

* The bar in red indicates where One Stop Systems's Debt-to-Revenue falls into.



One Stop Systems Debt-to-Revenue Calculation

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

One Stop Systems's Debt-to-Revenue for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(2.264 + 1.619) / 55.843
=0.07

One Stop Systems's annualized Debt-to-Revenue for the quarter that ended in Mar. 2024 is calculated as

Debt-to-Revenue=Total Debt / Revenue
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / Revenue
=(1.629 + 1.558) / 46.56
=0.07

* 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-Revenue, the Revenue of the last fiscal year is used. In calculating the annualized quarterly data, the Revenue data used here is four times the quarterly (Mar. 2024) Revenue data.


One Stop Systems Debt-to-Revenue Related Terms

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One Stop Systems (FRA:5MU) Business Description

Traded in Other Exchanges
Address
2235 Enterprise Street, Suite 110, Escondido, CA, USA, 92029
One Stop Systems Inc designs and manufactures innovative Artificial intelligence (AI) Transportable edge computing modules and systems, including ruggedized servers, compute accelerators, expansion systems, flash storage arrays and Ion Accelerator SAN, NAS and data recording software for AI workflows. These products are used for AI data set capture, training, and large-scale inference in the defense, oil and gas, mining, autonomous vehicles and rugged entertainment applications. The company enables AI on the Fly by bringing AI datacenter performance to the edge, especially on mobile platforms, and by addressing the entire AI workflow, from high-speed data acquisition to deep learning, training and inference. Its products are available directly or through global distributors.

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