Purchase Orders Over €20,000 Q2 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
28 Jun 2023	Marsh Insurance	Professional fees	Purchase Order	€96,919.13
28 Jun 2023	O'Donnell Tuomey Architects	Professional fees	Purchase Order	€38,440.43
28 Jun 2023	Grafton Architects	Professional fees	Purchase Order	€24,582.78
28 Jun 2023	MacLyn Conservation Joinery	Construction	Purchase Order	€45,184.35
28 Jun 2023	GKMP	Professional fees	Purchase Order	€49,753.50
27 Jun 2023	Limelight Communications	Professional fees	Purchase Order	€69,803.73
15 Jun 2023	O'Donnell Tuomey Architects	Professional fees	Purchase Order	€360,000.00
15 Jun 2023	DCC Dublin City Council	Professional fees	Purchase Order	€38,000.00
15 Jun 2023	HCS Business Solutions	Services	Purchase Order	€208,485.00
23 May 2023	EY Ernst & Young	Professional fees	Purchase Order	€130,976.55
16 May 2023	O'Donnell Tuomey Architects	Construction	Purchase Order	€96,539.63
16 May 2023	Grafton Architects	Professional fees	Purchase Order	€57,311.85
16 May 2023	EY Ernst & Young	Professional fees	Purchase Order	€40,590.00
16 May 2023	Shadow Creations	Professional fees	Purchase Order	€104,595.73
30 Apr 2023	EY Ernst & Young	Professional fees	Purchase Order	€95,866.20
19 Apr 2023	O'Donnell Tuomey Architects	Professional fees	Purchase Order	€21,254.40
05 Apr 2023	Codema	Professional fees	Purchase Order	€90,152.85
05 Apr 2023	Grafton Architects	Professional fees	Purchase Order	€35,468.28
05 Apr 2023	TU Dublin	Services	Purchase Order	€22,227.28

^* 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.

Here is a project that encountered similar issues