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Appen (ASX:APX) Institutional Ownership : 2.66% (As of Mar. 29, 2025)


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What is Appen Institutional Ownership?

Institutional ownership is the percentage of shares that are owned by institutions out of the total shares outstanding. As of today, Appen's institutional ownership is 2.66%.

Insider Ownership is the percentage of shares that are owned by company insiders relative to the total shares outstanding. As of today, Appen's Insider Ownership is 0.00%.

Float Percentage Of Total Shares Outstanding is the percentage of float shares relative to the total shares outstanding. As of today, Appen's Float Percentage Of Total Shares Outstanding is 0.00%.


Appen Institutional Ownership Historical Data

The historical data trend for Appen's Institutional Ownership 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 Institutional Ownership Chart

Appen Historical Data

The historical data trend for Appen can be seen below:

2024-05-31 2024-06-30 2024-07-31 2024-08-31 2024-09-30 2024-10-31 2024-11-30 2024-12-31 2025-01-31 2025-02-28
Institutional Ownership 4.47 4.41 5.01 4.82 4.44 3.43 2.73 3.59 3.71 2.66

Appen Institutional Ownership Calculation

The percentage of shares that are owned by institutions out of the total shares outstanding.


Appen Business Description

Industry
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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