Appen (APPEF) Scaled Net Operating Assets : 0.36 (As of Jun. 2024)

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What is Appen Scaled Net Operating Assets?

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Appen's operating assets for the quarter that ended in Jun. 2024 was $107.8 Mil. Appen's operating liabilities for the quarter that ended in Jun. 2024 was $51.7 Mil. Appen's Total Assets for the quarter that ended in Dec. 2023 was $155.2 Mil. Therefore, Appen's scaled net operating assets (SNOA) for the quarter that ended in Jun. 2024 was 0.36.

Appen Scaled Net Operating Assets Historical Data

The historical data trend for Appen's Scaled Net Operating Assets 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 Scaled Net Operating Assets Chart

Appen Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Scaled Net Operating Assets

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1.79

0.75

0.78

0.27

0.29

Appen Semi-Annual Data
	Jun15	Dec15	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24
Scaled Net Operating Assets	Get a 7-Day Free Trial														0.69	0.28	0.42	0.30	0.36

Competitive Comparison of Appen's Scaled Net Operating Assets

For the Information Technology Services subindustry, Appen's Scaled Net Operating Assets, along with its competitors' market caps and Scaled Net Operating Assets 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.

Appen's Scaled Net Operating Assets Distribution in the Software Industry

For the Software industry and Technology sector, Appen's Scaled Net Operating Assets distribution charts can be found below:

* The bar in red indicates where Appen's Scaled Net Operating Assets falls into.

Appen Scaled Net Operating Assets Calculation

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Appen's Scaled Net Operating Assets (SNOA) for the fiscal year that ended in Dec. 2023 is calculated as

	Scaled Net Operating Assets (SNOA)		(A: Dec. 2023 )
=	(Operating Assets (A: Dec. 2023 )	-	Operating Liabilities (A: Dec. 2023 ))	/	Total Assets (A: Dec. 2022 )
=	(123.006	-	49.927)	/	254.941
=	0.29

where

	Operating Assets		(A: Dec. 2023 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	155.158	-	32.152
=	123.006

	Operating Liabilities		(A: Dec. 2023 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	62.361	-	9.309	-	3.125
=	49.927

Appen's Scaled Net Operating Assets (SNOA) for the quarter that ended in Jun. 2024 is calculated as

	Scaled Net Operating Assets (SNOA)		(Q: Jun. 2024 )
=	(Operating Assets (Q: Jun. 2024 )	-	Operating Liabilities (Q: Jun. 2024 ))	/	Total Assets (Q: Dec. 2023 )
=	(107.79	-	51.699)	/	155.158
=	0.36

where

	Operating Assets		(Q: Jun. 2024 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	142.462	-	34.672
=	107.79

	Operating Liabilities		(Q: Jun. 2024 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	62.952	-	7.648	-	3.605
=	51.699

Appen Scaled Net Operating Assets Related Terms

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Appen Business Description

Industry

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Traded in Other Exchanges

APXYY:USA 433:Germany 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.