ActiveOps executive chair buys shares under incentive plan

Published 19/02/2025, 12:00
ActiveOps executive chair buys shares under incentive plan

LONDON - ActiveOps Plc (AIM: AOM), a leader in Decision Intelligence for service operations, has disclosed a transaction involving its Executive Chair, Richard Jeffery, who acquired shares as part of the company’s all-employee Share Incentive Plan. This transaction was conducted on the London Stock Exchange (LON:LSEG) on Monday.

According to the notification made under Article 19(3) of the Market Abuse Regulation, Jeffery purchased ordinary shares at a price of £1.04 per share, totaling 145 shares. The Share Incentive Plan is designed to allow employees, including those in managerial positions, to participate in the ownership of the company, aligning their interests with those of shareholders.

The transaction represents a vote of confidence in the company by one of its top executives and is a routine part of compensation for employees under the plan. The share acquisition by Jeffery was reported as an initial notification, indicating that this is the first time such a transaction is being disclosed for him.

ActiveOps has a history of involving its employees in stock ownership as a means to foster a culture of shared success and commitment to the company’s growth and performance. This latest transaction is a continuation of that policy and is part of the normal course of business for the company.

The information for this report is based on a press release statement by ActiveOps Plc. It provides insight into the company’s practices regarding employee investment and the ongoing involvement of its management team in its financial structure. The transaction by the Executive Chair underscores the leadership’s engagement with the company’s incentive programs.

ActiveOps Plc is listed on the AIM market of the London Stock Exchange, and its shares trade under the ticker symbol AOM. The company specializes in software and services that enable organizations to improve operational efficiency and decision-making capabilities.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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