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One Stop Systems (FRA:5MU) LT-Debt-to-Total-Asset : 0.04 (As of Mar. 2024)


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What is One Stop Systems LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. One Stop Systems's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.04.

One Stop Systems's long-term debt to total assets ratio increased from Mar. 2023 (0.01) to Mar. 2024 (0.04). It may suggest that One Stop Systems is progressively becoming more dependent on debt to grow their business.


One Stop Systems LT-Debt-to-Total-Asset Historical Data

The historical data trend for One Stop Systems's LT-Debt-to-Total-Asset 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 LT-Debt-to-Total-Asset Chart

One Stop Systems Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
LT-Debt-to-Total-Asset
Get a 7-Day Free Trial Premium Member Only 0.01 0.05 - 0.01 0.04

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
LT-Debt-to-Total-Asset 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 0.01 - 0.03 0.04 0.04

One Stop Systems LT-Debt-to-Total-Asset Calculation

One Stop Systems's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2023 is calculated as

LT Debt to Total Assets (A: Dec. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Dec. 2023 )/Total Assets (A: Dec. 2023 )
=1.619/44.26
=0.04

One Stop Systems's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (Q: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2024 )/Total Assets (Q: Mar. 2024 )
=1.558/44.449
=0.04

* 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.


One Stop Systems  (FRA:5MU) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


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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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