Argeo AS (OSL:ARGEO) Institutional Ownership : 0.68% (As of May. 31, 2024)

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What is Argeo AS Institutional Ownership?

Institutional ownership is the percentage of shares that are owned by institutions out of the total shares outstanding. As of today, Argeo AS's institutional ownership is 0.68%.

Insider Ownership is the percentage of shares that are owned by company insiders relative to the total shares outstanding. As of today, Argeo AS'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, Argeo AS's Float Percentage Of Total Shares Outstanding is 0.00%.

Argeo AS Institutional Ownership Historical Data

The historical data trend for Argeo AS'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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Argeo AS Institutional Ownership Chart

Argeo AS Historical Data

The historical data trend for Argeo AS can be seen below:

	2022-08-31	2022-09-30	2022-10-31	2022-11-30	2022-12-31	2023-01-31	2023-02-28	2023-03-31	2023-04-30	2023-05-31
Institutional Ownership	0.68	0.68	0.68	0.68	0.68	0.68	0.68	0.68	0.68	0.68

Argeo AS Institutional Ownership Calculation

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

Argeo AS (OSL:ARGEO) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Energy » Oil & Gas » Argeo AS (OSL:ARGEO) » Definitions » Institutional Ownership

Comparable Companies

Traded in Other Exchanges

8W2:Germany

Address

Nye Vakasvei 14, Hvalstad, Norge, NOR, 1395

Website

https://www.argeo.no

Argeo AS offers the ocean surveying and inspection industry by utilizing autonomous surface and underwater robotics solutions. This company is equipped with individual sensors and digital imaging technology, these autonomous underwater vehicles increase efficiency and imaging quality, in addition, to contributing to substantially reducing CO2 emissions from operations. The company's digital models and digital twin solutions are based on geophysical, hydrographic, and geological methods from shallow water to the deepest oceans for market segments in Infrastructure, Offshore Wind, Oil & Gas, and Deep Sea Minerals.

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