Insig AI (LSE:INSG) Insider Ownership : 29.23 % (As of May. 07, 2025)

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What is Insig AI Insider Ownership?

Insider ownership is the percentage of shares that are owned by company insiders relative to the total shares outstanding. As of today, Insig AI's insider ownership is 29.23%.

Institutional Ownership is the percentage of shares that are owned by institutions out of the total shares outstanding. As of today, Insig AI's Institutional Ownership is 1.88%.

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

Insig AI Insider Ownership Historical Data

The historical data trend for Insig AI's Insider 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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Insig AI Insider Ownership Chart

Insig AI Historical Data

The historical data trend for Insig AI can be seen below:

	2024-07-31	2024-08-31	2024-09-30	2024-10-31	2024-11-30	2024-12-31	2025-01-31	2025-02-28	2025-03-31	2025-04-30
Insider Ownership	27.71	27.71	28.30	28.60	28.60	28.60	28.60	28.60	29.73	29.23

Insig AI Insider Ownership Calculation

The percentage of shares that are owned by company insiders relative to the total shares outstanding.

Insig AI Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Insig AI PLC (LSE:INSG) » Definitions » Insider Ownership

Comparable Companies

Traded in Other Exchanges

N/A

Address

6 Heddon Street, London, GBR, W1B 4BT

Website

https://www.insg.ai

Insig AI PLC integrates software, data science and cloud computing to help asset managers make decisions, generate value, and manage their workflow more effectively. The Company's segments trading segments were machine learning and data services.