Purchase Orders Greater than €20,000 - Q3 2019

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2019	INFRATECH TRAFFIC LTD	MAINTENANCE	Purchase Order	€23,717.50
30 Sep 2019	EVROS TECHNOLOGY GROUP	SOFTWARE LICENCE	Purchase Order	€22,373.70
30 Sep 2019	BIO OBSERVATION SYSTEMS LTD T/A PIXALERT	MAINTENANCE	Purchase Order	€22,140.00
30 Sep 2019	APHELION LTD T/A CIVIQ	LICENCE	Purchase Order	€22,140.00
30 Sep 2019	CASEY COMMUNICATIONS	CONSULT/PROF.FEE	Purchase Order	€22,041.60
30 Sep 2019	KEVIN KELLY	MINOR CONTRACT	Purchase Order	€21,893.00
30 Sep 2019	COUGHLAN HEATING & PLUMBING	MINOR CONTRACT	Purchase Order	€21,808.23
30 Sep 2019	DONAL MURRAY LTD	ELECTRICIAL CONTRACT	Purchase Order	€21,346.44
30 Sep 2019	TREEPRO LIMITED	MINOR CONTRACT	Purchase Order	€20,997.50
30 Sep 2019	CIRCLE K	FUEL	Purchase Order	€20,720.41
30 Sep 2019	LEISURE WORLD	MGTMT FEES & SVS CHGS	Purchase Order	€20,676.30
30 Sep 2019	LEISURE WORLD	MGTMT FEES & SVS CHGS	Purchase Order	€20,676.30
30 Sep 2019	GLANMIRE TOOL HIRE & SALES	MATERIALS	Purchase Order	€20,493.52
30 Sep 2019	KNOCKANARE WOODWORKING LTD	MINOR CONTRACT	Purchase Order	€20,400.00
30 Sep 2019	TERRY REA	MINOR CONTRACT	Purchase Order	€20,300.80
30 Sep 2019	COUGHLAN HEATING & PLUMBING	MINOR CONTRACT	Purchase Order	€20,259.50
30 Sep 2019	CIRCLE K	FUEL	Purchase Order	€20,153.40

^* 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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