Purchase Orders Over €20,000 Q1 2019

Spending records

Payment date^*	Supplier	Description	Kind	Amount
29 Mar 2019	HAYS Recruitment Agency	Professional Services	Purchase Order	€79,950.00
27 Mar 2019	Kennedy Security & Consultancy	Professional Services	Purchase Order	€35,911.08
27 Mar 2019	O'Connor Sutton Cronin	Professional Services	Purchase Order	€46,949.00
06 Mar 2019	ESB Network	Construction Works	Purchase Order	€26,203.75
15 Feb 2019	Fitzgerald Kavanagh & Partners	Professional Services	Purchase Order	€291,019.85
13 Feb 2019	NK Fencing Ltd	Construction Works	Purchase Order	€47,766.48
12 Feb 2019	Taylor McCarney Architects Ltd	Professional Services	Purchase Order	€140,958.00
11 Feb 2019	Duff & Phelps	Professional Services	Purchase Order	€24,600.00
28 Jan 2019	Grafton Architects	Professional Services	Purchase Order	€21,767.31
24 Jan 2019	Rory McCarthy & Sons Ltd	Professional Services	Purchase Order	€21,667.15
22 Jan 2019	Lisney Ltd	Professional Services	Purchase Order	€45,592.42
22 Jan 2019	Murphy Surveys Limited	Professional Services	Purchase Order	€22,127.70
21 Jan 2019	Grafton Architects	Professional Services	Purchase Order	€204,112.99

^* 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