Innodata (FRA:ID6) Receivables Turnover : 1.99 (As of Mar. 2025)

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What is Innodata Receivables Turnover?

The Receivables Turnover ratio measures the number of times a company collects its average accounts receivable balance. It is calculated as Revenue divided by average Accounts Receivable. An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. Innodata's Revenue for the three months ended in Mar. 2025 was €54.0 Mil. Innodata's average Accounts Receivable for the three months ended in Mar. 2025 was €27.1 Mil. Hence, Innodata's Receivables Turnover for the three months ended in Mar. 2025 was 1.99.

Innodata Receivables Turnover Historical Data

The historical data trend for Innodata's Receivables Turnover 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.

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Innodata Receivables Turnover Chart

Innodata Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Dec24

Receivables Turnover

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5.63

6.74

7.82

7.20

8.17

Innodata Quarterly Data
	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24	Mar25
Receivables Turnover	Get a 7-Day Free Trial															1.87	2.03	2.49	2.37	1.99

Competitive Comparison of Innodata's Receivables Turnover

For the Information Technology Services subindustry, Innodata's Receivables Turnover, along with its competitors' market caps and Receivables Turnover data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Innodata's Receivables Turnover Distribution in the Software Industry

For the Software industry and Technology sector, Innodata's Receivables Turnover distribution charts can be found below:

* The bar in red indicates where Innodata's Receivables Turnover falls into.

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Innodata Receivables Turnover Calculation

Receivables Turnover measures the number of times a company collects its average accounts receivable balance.

Innodata's Receivables Turnover for the fiscal year that ended in Dec. 2024 is calculated as

	Receivables Turnover (A: Dec. 2024 )
=	Revenue	/	Average Total Inventories
=	Revenue (A: Dec. 2024 )	/ (	(Accounts Receivable (A: Dec. 2023 )	+	Accounts Receivable (A: Dec. 2024 ))	/	count )
=	162.79	/ (	(13.102	+	26.752)	/	2 )
=	162.79	/	19.927
=	8.17

Innodata's Receivables Turnover for the quarter that ended in Mar. 2025 is calculated as

	Receivables Turnover (Q: Mar. 2025 )
=	Revenue	/	Average Total Inventories
=	Revenue (Q: Mar. 2025 )	/ (	(Accounts Receivable (Q: Dec. 2024 )	+	Accounts Receivable (Q: Mar. 2025 ))	/	count )
=	53.968	/ (	(26.752	+	27.359)	/	2 )
=	53.968	/	27.0555
=	1.99

Innodata (FRA:ID6) Receivables Turnover Explanation

An efficient company has a higher accounts receivable turnover ratio while an inefficient company has a lower ratio. This metric is commonly used to compare companies within the same industry to check whether they are on par with their competitors.

Innodata Receivables Turnover Related Terms

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Innodata Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » Innodata Inc (FRA:ID6) » Definitions » Receivables Turnover

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INOD:USA

Address

55 Challenger Road, Ridgefield Park, NJ, USA, 07660

Website

https://www.innodata.com

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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