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Appen (APPEF) Shares Outstanding (Basic Average) : 237.7 Mil (As of Dec. 2024)


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What is Appen Shares Outstanding (Basic Average)?

Shares outstanding are shares that have been authorized, issued, and purchased by investors and are held by them. Appen's average basic shares outstanding for the quarter that ended in Dec. 2024 was 237.7 Mil.


Appen Shares Outstanding (Basic Average) Historical Data

The historical data trend for Appen's Shares Outstanding (Basic Average) 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.

Appen Shares Outstanding (Basic Average) Chart

Appen Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24
Shares Outstanding (Basic Average)
Get a 7-Day Free Trial Premium Member Only Premium Member Only 137.57 139.09 139.56 142.09 228.92

Appen Semi-Annual Data
Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24
Shares Outstanding (Basic Average) 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 139.64 141.59 142.59 220.14 237.69

Appen Shares Outstanding (Basic Average) Calculation

Shares outstanding are shares that have been authorized, issued, and purchased by investors and are held by them. They have voting rights and represent ownership in the corporation by the person that holds the shares. They should be distinguished from treasury shares, which are shares held by the corporation itself, having no exercisable rights.

Shares outstanding can be calculated as either basic or fully diluted. The fully diluted shares outstanding count includes diluting securities, such as options, warrants or convertibles.

Please note: GuruFocus named Shares Outstanding (EOP) is the shares for that exact time point. It is usually used to calculate balance sheet related items, such as Book Value per Share, etc. While Shares Outstanding (Diluted Average) and Shares Outstanding (Basic Average) are the weighted average shares over a period of time (a year, a quarter, or so). They are usually used to calculate income statement or cashflow statement related items, such as Earnings per Share (Diluted), etc.


Appen  (OTCPK:APPEF) Shares Outstanding (Basic Average) Explanation

A company may buy back shares or issue shares in any fiscal period. If a company buys back shares, we should observe that the total number of shares decline. If the company issues new shares, the number of shares outstanding increases.


Be Aware

Usually the presence of treasury shares and a history of buyback are good indicators that company has competitive advantage. But studies have shown that companies usually buy back at wrong time. Buying back shares below its intrinsic value increases value for remaining shareholders. Buying back overvalued shares destroys value for existing shareholders.


Appen Shares Outstanding (Basic Average) Related Terms

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Appen Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Software » Appen Ltd (OTCPK:APPEF) » Definitions » Shares Outstanding (Basic Average)
Traded in Other Exchanges
Address
9 Help Street, Level 6, Chatswood, Sydney, NSW, AUS, 2067
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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