Open tender

Published

A Review of the State’s tax model to identify measures and reforms to incentivise investment into scaling companies in Ireland

8 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

81,301 EUR

Close date

2026-04-20

Description

The Department of Enterprise, Tourism and Employment wishes to commission a comprehensive, independent review of the Irish Tax System to determine how it aligns with and actively supports national objectives for enterprise, growth and innovation, following which, the Department will develop proposals for priority tax policy reforms with the aim of supporting and strengthening the Finance for Scaling Ecosystem. This review will bring an understanding of both the tax incentives and disincentives for investing in Irish Venture Capital and Growth Equity Funds, with a view to shaping a tax model that will advance the entrepreneurship and scaling agenda.

Unlock decision maker contacts.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

Bord Iascaigh Mhara - Irish Sea Fisheries Board (BIM)

80,000 EUR

Published a day ago

Atlantic Technological University

1,200,000 EUR

Published 8 days ago

Commission for Communications Regulation

Published 8 days ago

Commission for Regulation of Utilities

Published 16 days ago

Department of Housing, Local Government and Heritage

150,000 EUR

Published a month ago

University of Galway (ID 1400)

150,000 EUR

Published a month ago

Explore top buyers for public sector contracts

Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.

Explore over 15,000 buyers

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.