Purchase Orders Over €20,000 Q1 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2023	VERSION 1	Contractor Services	Purchase Order	€20,548.50
31 Mar 2023	ERNST AND YOUNG	Contractor Services	Purchase Order	€21,956.00
31 Mar 2023	VERSION 1	Contractor Services	Purchase Order	€22,711.50
31 Mar 2023	ERNST AND YOUNG	Contractor Services	Purchase Order	€22,769.18
31 Mar 2023	FLEXTIME LTD	ICT Services	Purchase Order	€24,108.00
31 Mar 2023	CORE INTERNATIONAL	ICT Services	Purchase Order	€26,321.78
31 Mar 2023	PHD MEDIA IRELAND LTD	Advertising	Purchase Order	€28,483.38
31 Mar 2023	ASM (B) LTD	Mandated Audit of the Erasmus+ Programme	Purchase Order	€29,528.76
31 Mar 2023	FLEXTIME LTD	ICT Services	Purchase Order	€122,385.00
31 Mar 2023	NATIONAL TREASURY MANAGEMENT AGENCY	Third Level Building and Infrastructure	Purchase Order	€347,666.42
31 Mar 2023	IRISH WATER	Third Level Building and Infrastructure	Purchase Order	€1,274,452.00
31 Mar 2023	FOCUS EDUCATION (NMC) LIMITED	Third Level Building and Infrastructure	Purchase Order	€1,667,515.63
31 Mar 2023	CSM PPP SERVICES LTD	Third Level Building and Infrastructure	Purchase Order	€2,142,288.69
31 Mar 2023	ERIUGENA DESIGNATED ACTIVITY COMPANY	Third Level Building and Infrastructure	Purchase Order	€5,017,088.84
31 Mar 2023	GRANGEGORMAN DEVELOPMENT AGENCY	Third Level Building and Infrastructure	Purchase Order	€5,426,500.00

^* 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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