Purchase Orders Over €20,000 Q2 2014

Spending records

Payment date^*	Supplier	Description	Kind	Amount
26 Jun 2014	BAM	Construction Works	Purchase Order	€14,415,240.59
26 Jun 2014	Dublin City Council	Development Levies	Purchase Order	€500,635.68
19 Jun 2014	Willis	Insurance	Purchase Order	€34,240.82
19 Jun 2014	WK Nowlan	Professional Services	Purchase Order	€33,064.25
19 Jun 2014	WK Nowlan	Professional Services	Purchase Order	€70,715.16
18 Jun 2014	Bourke Builders	Construction Works	Purchase Order	€98,177.50
12 Jun 2014	Coady Partnership Architects	Consultancy	Purchase Order	€104,453.51
10 Jun 2014	Clancy Construction	Construction Works	Purchase Order	€917,824.56
09 Jun 2014	Aecom	Consultancy	Purchase Order	€98,400.00
30 May 2014	Taylor Architects	Consultancy	Purchase Order	€30,750.00
27 May 2014	Soldus Realty Ltd/ Colliers	Office Rental & Service charge	Purchase Order	€69,535.59
01 May 2014	Dun Laoghaire Rathdown County	Professional Services	Purchase Order	€94,578.38
29 Apr 2014	Bourke Builders	Construction Works	Purchase Order	€42,926.84
29 Apr 2014	Bourke Builders	Construction Works	Purchase Order	€60,955.18
29 Apr 2014	Flynn Management & Contractors	Construction Works	Purchase Order	€35,695.75
29 Apr 2014	Flynn Management & Contractors	Construction Works	Purchase Order	€67,718.64
15 Apr 2014	Coastway Surveys	Surveys - structural	Purchase Order	€25,522.50

^* 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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