Appen (APXYY) Net Margin % : -15.65% (As of Jun. 2024)

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What is Appen Net Margin %?

Net margin is calculated as Net Income divided by its Revenue. Appen's Net Income for the six months ended in Jun. 2024 was $-17.8 Mil. Appen's Revenue for the six months ended in Jun. 2024 was $113.4 Mil. Therefore, Appen's net margin for the quarter that ended in Jun. 2024 was -15.65%.

The historical rank and industry rank for Appen's Net Margin % or its related term are showing as below:

APXYY' s Net Margin % Range Over the Past 10 Years
Min: -61.59 Med: 8.43 Max: 11.46
Current: -37.3

APXYY's Net Margin % is ranked worse than
82.31% of 2759 companies
in the Software industry
Industry Median: 2.45 vs APXYY: -37.30

Appen Net Margin % Historical Data

The historical data trend for Appen's Net Margin % 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 Net Margin % Chart

Appen Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Net Margin %

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7.77

8.43

6.38

-61.59

-43.25

Appen Semi-Annual Data
	Jun15	Dec15	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24
Net Margin %	Get a 7-Day Free Trial														-5.12	-111.89	-31.17	-55.77	-15.65

Competitive Comparison of Appen's Net Margin %

For the Information Technology Services subindustry, Appen's Net Margin %, along with its competitors' market caps and Net Margin % 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 Net Margin % Distribution in the Software Industry

For the Software industry and Technology sector, Appen's Net Margin % distribution charts can be found below:

* The bar in red indicates where Appen's Net Margin % falls into.

Appen Net Margin % Calculation

Net margin - also known as net profit margin is the ratio of Net Income divided by net sales or Revenue, usually presented in percent.

Appen's Net Margin for the fiscal year that ended in Dec. 2023 is calculated as

Net Margin	=	Net Income (A: Dec. 2023 )	/	Revenue (A: Dec. 2023 )
	=	-118.079	/	273.012
	=	-43.25 %

Appen's Net Margin for the quarter that ended in Jun. 2024 is calculated as

Net Margin	=	Net Income (Q: Jun. 2024 )	/	Revenue (Q: Jun. 2024 )
	=	-17.753	/	113.427
	=	-15.65 %

Appen (OTCPK:APXYY) Net Margin % Explanation

Although Net Income and Earnings-per-Share (EPS) are the most widely used parameter in measuring a company's profitability and valuation, it is the least reliable. The reason is that reported earnings can be manipulated easily by adjusting any numbers such as Depreciation, Depletion and Amotorization and non-recurring items.

But the long term trend of the net margin is a good indicator of the competitiveness and health of the business.

Appen Net Margin % Related Terms

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Appen Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Appen Ltd (OTCPK:APXYY) » Definitions » Net Margin %

Comparable Companies

Traded in Other Exchanges

APPEF: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.