Payments Over €20,000 Q3 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2023	Club Travel	Travel & Acommodation for staff and third party reviewers	Purchase Order	€31,880.00
30 Sep 2023	Office of the Comptroller & Auditor General	External Audit	Purchase Order	€32,000.00
30 Sep 2023	Lex Consultancy	Recruitment Agency Costs	Purchase Order	€32,320.00
30 Sep 2023	Micromail	Licensing	Purchase Order	€35,546.00
30 Sep 2023	H2 Learning Limited	Education Specialist - SFI Discover Primary Science & Maths programmes	Purchase Order	€52,215.00
30 Sep 2023	Brightwater Selection (Ireland) Ltd	Recruitment Agency Costs	Purchase Order	€62,445.00
30 Sep 2023	Dublin City University DSE	Provision of Innovation Training and mentoring for National Challenge programme	Purchase Order	€64,878.00
30 Sep 2023	Mazars	Consultancy and Internal Audit Services	Purchase Order	€92,909.00
30 Sep 2023	Marsh Ireland	Insurance	Purchase Order	€97,720.00
30 Sep 2023	CPL Solutions Limited	Recruitment Agency Costs	Purchase Order	€100,336.00
30 Sep 2023	Drury Communications LTD	PR Costs, Communications Support	Purchase Order	€103,475.00
30 Sep 2023	NUI Maynooth (t/a Maynooth University)	DG Salary and Pension Recharge	Purchase Order	€224,137.00
30 Sep 2023	IDA Ireland	Rent, Rates, Service Charge & Miscellaneous Charges for Three Park Place	Purchase Order	€586,291.00

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

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