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Innodata (FRA:ID6) ROCE % : 69.78% (As of Dec. 2024)


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What is Innodata 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. Innodata's annualized ROCE % for the quarter that ended in Dec. 2024 was 69.78%.


Innodata ROCE % Historical Data

The historical data trend for Innodata'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.

Innodata ROCE % Chart

Innodata Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
ROCE %
Get a 7-Day Free Trial Premium Member Only Premium Member Only 3.11 -4.46 -33.37 0.99 44.66

Innodata Quarterly Data
Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24
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 22.18 14.25 3.41 92.09 69.78

Innodata ROCE % Calculation

Innodata's annualized ROCE % for the fiscal year that ended in Dec. 2024 is calculated as:

ROCE %=EBIT/( (Capital Employed+Capital Employed)/ count )
(A: Dec. 2024 )  (A: Dec. 2023 )(A: Dec. 2024 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(A: Dec. 2024 )  (A: Dec. 2023 )(A: Dec. 2024 )
=23.241/( ( (54.498 - 21.031) + (108.344 - 37.728) )/ 2 )
=23.241/( (33.467+70.616)/ 2 )
=23.241/52.0415
=44.66 %

Innodata's ROCE % of for the quarter that ended in Dec. 2024 is calculated as:

ROCE %=EBIT (1)/( (Capital Employed+Capital Employed)/ count )
(Q: Dec. 2024 )  (Q: Sep. 2024 )(Q: Dec. 2024 )
=EBIT/( ( (Total Assets - Total Current Liabilities)+(Total Assets - Total Current Liabilities) )/ count )
(Q: Dec. 2024 )  (Q: Sep. 2024 )(Q: Dec. 2024 )
=42.992/( ( (79.441 - 26.843) + (108.344 - 37.728) )/ 2 )
=42.992/( ( 52.598 + 70.616 )/ 2 )
=42.992/61.607
=69.78 %

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


Innodata  (FRA:ID6) 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.


Innodata ROCE % Related Terms

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Innodata Business Description

Traded in Other Exchanges
Address
55 Challenger Road, Ridgefield Park, NJ, USA, 07660
Innodata Inc is a data engineering company. It is helping companies deploy and integrate AI into their operations and products and providing AI-enabled industry platforms. The Company's operations are classified in three reporting segments: Digital Data Solutions (DDS), Synodex and Agility. Key revenue is generated from DDS segment provides AI data preparation services, collecting or creating training data, annotating training data, and training AI algorithms for its customers, and AI model deployment and integration. It also provides a range of data engineering support services including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management.

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