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Datacolor AG (XSWX:DCN) ROCE % : 21.97% (As of Sep. 2023)


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What is Datacolor AG 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. Datacolor AG's annualized ROCE % for the quarter that ended in Sep. 2023 was 21.97%.


Datacolor AG ROCE % Historical Data

The historical data trend for Datacolor AG'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.

Datacolor AG ROCE % Chart

Datacolor AG Annual Data
Trend Sep14 Sep15 Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23
ROCE %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 12.18 0.51 12.72 22.19 19.71

Datacolor AG Semi-Annual Data
Mar14 Sep14 Mar15 Sep15 Mar16 Sep16 Mar17 Sep17 Mar18 Sep18 Mar19 Sep19 Mar20 Sep20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23
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 12.37 14.93 31.03 18.37 21.97

Datacolor AG ROCE % Calculation

Datacolor AG's annualized ROCE % for the fiscal year that ended in Sep. 2023 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Sep. 2023 )  (A: Sep. 2022 )(A: Sep. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Sep. 2023 )  (A: Sep. 2022 )(A: Sep. 2023 )
=10.246/( ( (79.113 - 31.099) + (86.006 - 30.042) )/ 2 )
=10.246/( (48.014+55.964)/ 2 )
=10.246/51.989
=19.71 %

Datacolor AG's ROCE % of for the quarter that ended in Sep. 2023 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Sep. 2023 )  (Q: Mar. 2023 )(Q: Sep. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Sep. 2023 )  (Q: Mar. 2023 )(Q: Sep. 2023 )
=11.696/( ( (79.317 - 28.819) + (86.006 - 30.042) )/ 2 )
=11.696/( ( 50.498 + 55.964 )/ 2 )
=11.696/53.231
=21.97 %

(1) Note: The EBIT data used here is two times the semi-annual (Sep. 2023) 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.


Datacolor AG  (XSWX:DCN) 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.


Datacolor AG ROCE % Related Terms

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Datacolor AG (XSWX:DCN) Business Description

Traded in Other Exchanges
N/A
Address
Grundstrasse 12, Rotkreuz, CHE, 6343
Datacolor AG provides digital color management solutions and supplies software, hardware, and other services for accurate color reproduction of materials, products, and photographs. Geographically the company exports its services to Europe, Americas, and the Asia Pacific. The Asia Pacific region generates maximum revenue for the company. Some of its products include SpectraVision V, Spectro 1000X, Spyder X2 SpyderCheckr, , Colibri Analytics and ColorReader.

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