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One Stop Systems (FRA:5MU) ROCE % : -10.95% (As of Mar. 2024)


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What is One Stop Systems ROCE %?

ROCE % measures how well a company generates profits from its capital. It is calculated as EBIT divided by Capital Employed, where Capital Employed is calculated as Total Assets minus Total Current Liabilities. One Stop Systems's annualized ROCE % for the quarter that ended in Mar. 2024 was -10.95%.


One Stop Systems ROCE % Historical Data

The historical data trend for One Stop Systems's ROCE % 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 ROCE % Chart

One Stop Systems Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
ROCE %
Get a 7-Day Free Trial Premium Member Only -1.80 -0.19 9.76 5.57 -12.89

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
ROCE % 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 -0.93 -17.79 -32.32 -1.98 -10.95

One Stop Systems ROCE % Calculation

One Stop Systems's annualized ROCE % for the fiscal year that ended in Dec. 2023 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Dec. 2023 )  (A: Dec. 2022 )(A: Dec. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Dec. 2023 )  (A: Dec. 2022 )(A: Dec. 2023 )
=-5.2/( ( (53.209 - 10.475) + (44.26 - 6.303) )/ 2 )
=-5.2/( (42.734+37.957)/ 2 )
=-5.2/40.3455
=-12.89 %

One Stop Systems's ROCE % of for the quarter that ended in Mar. 2024 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Mar. 2024 )  (Q: Dec. 2023 )(Q: Mar. 2024 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Mar. 2024 )  (Q: Dec. 2023 )(Q: Mar. 2024 )
=-4.096/( ( (44.26 - 6.303) + (44.449 - 7.589) )/ 2 )
=-4.096/( ( 37.957 + 36.86 )/ 2 )
=-4.096/37.4085
=-10.95 %

(1) Note: The EBIT data used here is four times the quarterly (Mar. 2024) EBIT data.

* 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) ROCE % Explanation

ROCE % can be especially useful when comparing the performance of capital-intensive companies. Unlike ROE %, which indicates the profitability of Shareholders Equity, ROCE % also considers long-term debt in Capital Employed. This can be helpful when analyzing companies with significant debt, as the result is neutralized by taking debt into consideration.

Generally speaking, a higher ROCE % indicates a stonger profitability for a company. Moreover, it is important to look at the ratio from a long term perspective. Investors tend to favor companies with stable and rising ROCE % trend over those with volatile ones.


One Stop Systems ROCE % 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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