Appen (STU:433) Inventories, Other : €0.6 Mil (As of Dec. 2024)

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What is Appen Inventories, Other?

Other inventories including goods for resale, stocks in transit, consignment stocks, etc. Appen's other inventories for the quarter that ended in Dec. 2024 was €0.6 Mil.

Appen's quarterly other inventories declined from Dec. 2023 (€1.0 Mil) to Jun. 2024 (€0.6 Mil) but then increased from Jun. 2024 (€0.6 Mil) to Dec. 2024 (€0.6 Mil).

Appen's annual other inventories increased from Dec. 2022 (€0.6 Mil) to Dec. 2023 (€1.0 Mil) but then declined from Dec. 2023 (€1.0 Mil) to Dec. 2024 (€0.6 Mil).

Appen Inventories, Other Historical Data

The historical data trend for Appen's Inventories, Other 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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Appen Inventories, Other Chart

Appen Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Dec24

Inventories, Other

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0.61

0.98

0.64

Appen Semi-Annual Data
	Jun15	Dec15	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24	Dec24
Inventories, Other	Get a 7-Day Free Trial															0.61	1.26	0.98	0.56	0.64

Appen Inventories, Other Calculation

Other inventories including goods for resale, stocks in transit, consignment stocks, etc.

Appen Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Appen Ltd (STU:433) » Definitions » Inventories, Other

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APXYY:USA APPEF:USA APX:Australia

Address

9 Help Street, Level 6, Chatswood, Sydney, NSW, AUS, 2067

Website

https://www.appen.com

Appen Ltd is engaged in the provision of quality data solutions and services for machine learning and artificial intelligence applications for technology companies, auto manufacturers, government agencies among others. The company's business segments are Global services and New markets. It generates maximum revenue from the Global services segment which represents the services that it provides to technology customers using the customers' data annotation platforms and tools. The majority of projects comprise large, at-scale deep learning (model evaluation) programs. Geographically, it derives a majority of its revenue from the United States of America.

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