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Upsellon Brands Holdings (XTAE:UPSL) ROCE % : -6.49% (As of Jun. 2024)


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What is Upsellon Brands Holdings 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. Upsellon Brands Holdings's annualized ROCE % for the quarter that ended in Jun. 2024 was -6.49%.


Upsellon Brands Holdings ROCE % Historical Data

The historical data trend for Upsellon Brands Holdings'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.

Upsellon Brands Holdings ROCE % Chart

Upsellon Brands Holdings Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
ROCE %
Get a 7-Day Free Trial Premium Member Only Premium Member Only - - -321.51 -113.07 -47.21

Upsellon Brands Holdings Semi-Annual Data
Dec13 Dec14 Dec15 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24
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 -11.54 -164.78 -29.22 -61.87 -6.49

Upsellon Brands Holdings ROCE % Calculation

Upsellon Brands Holdings'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 )
=-13.627/( ( (43.794 - 10.748) + (29.403 - 4.714) )/ 2 )
=-13.627/( (33.046+24.689)/ 2 )
=-13.627/28.8675
=-47.21 %

Upsellon Brands Holdings's ROCE % of for the quarter that ended in Jun. 2024 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Jun. 2024 )  (Q: Dec. 2023 )(Q: Jun. 2024 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Jun. 2024 )  (Q: Dec. 2023 )(Q: Jun. 2024 )
=-1.564/( ( (29.403 - 4.714) + (30.48 - 6.967) )/ 2 )
=-1.564/( ( 24.689 + 23.513 )/ 2 )
=-1.564/24.101
=-6.49 %

(1) Note: The EBIT data used here is two times the semi-annual (Jun. 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.


Upsellon Brands Holdings  (XTAE:UPSL) 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.


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Upsellon Brands Holdings Business Description

Traded in Other Exchanges
N/A
Address
Eric Kaufman, Arik Kaufman, Tuval, 40, Q6, Ramat Gan, ISR, 5252247
Upsellon Brands Holdings Ltd provides technology services to Amazon sellers. The system developed by the company uses deep learning to scan and build markets from seed products and keywords. The algorithms evaluate products for relevance and monitor similar items, helping to predict the most potentially profitable markets.

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