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Open Text (FRA:OTX) ROCE % : 5.44% (As of Dec. 2023)


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What is Open Text 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. Open Text's annualized ROCE % for the quarter that ended in Dec. 2023 was 5.44%.


Open Text ROCE % Historical Data

The historical data trend for Open Text'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.

Open Text ROCE % Chart

Open Text Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
ROCE %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 8.58 6.49 9.28 8.37 5.13

Open Text Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
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 15.38 5.51 2.85 6.96 5.44

Open Text ROCE % Calculation

Open Text's annualized ROCE % for the fiscal year that ended in Jun. 2023 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Jun. 2023 )  (A: Jun. 2022 )(A: Jun. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Jun. 2023 )  (A: Jun. 2022 )(A: Jun. 2023 )
=539.923/( ( (9629.308 - 1388.972) + (15773.332 - 2971.704) )/ 2 )
=539.923/( (8240.336+12801.628)/ 2 )
=539.923/10520.982
=5.13 %

Open Text's ROCE % of for the quarter that ended in Dec. 2023 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Dec. 2023 )  (Q: Sep. 2023 )(Q: Dec. 2023 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Dec. 2023 )  (Q: Sep. 2023 )(Q: Dec. 2023 )
=686.472/( ( (15510.982 - 2644.239) + (15078.473 - 2713.563) )/ 2 )
=686.472/( ( 12866.743 + 12364.91 )/ 2 )
=686.472/12615.8265
=5.44 %

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


Open Text  (FRA:OTX) 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.


Open Text ROCE % Related Terms

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Open Text (FRA:OTX) Business Description

Traded in Other Exchanges
Address
275 Frank Tompa Drive, Waterloo, ON, CAN, N2L 0A1
Open Text Corp grew out of a technology project involving the Oxford English Dictionary at Canada's University of Waterloo in the mid-1980s. Its software allows clients to archive, aggregate, retrieve, and search unstructured information (such as documents, e-mail, and presentations). The OpenText Information Management platform and services provide secure and scalable solutions for global enterprises, SMBs, governments, and consumers around the world. It also accelerates transformations with intelligent tools and services. The company is based in Ontario, Canada.

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