Purchase Orders Over €20,000 Q1 2019

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2019	GEDA CONSTRUCTION LLP	Capital Contract	Purchase Order	€624,680.00
31 Mar 2019	SIAC MANTOVANI JV	Capital Contract	Purchase Order	€113,490.00
31 Mar 2019	BRACEGRADE LTD	Capital Contract	Purchase Order	€32,598.78
31 Mar 2019	TOWNLINK CONSTRUCTION LIMITED	Capital Contract	Purchase Order	€247,384.50
31 Mar 2019	PBM PRODUCTIONS LTD T/A DIFFUSION EVENTS	Community Events	Purchase Order	€34,787.71
31 Mar 2019	REDLOUGH LANDSCAPES LTD	Contract & Trade Services	Purchase Order	€28,394.40
31 Mar 2019	DYNNIQ	Contract & Trade Services	Purchase Order	€27,438.44
31 Mar 2019	IRISH GRASS MACHINERY LTD	Purchase of Plant/Machinery	Purchase Order	€30,048.90
31 Mar 2019	LISADERG CONSTRUCTION LIMITED	Contract & Trade Services	Purchase Order	€41,323.21
31 Mar 2019	FUEL CARD SERVICES LTD	Fuel	Purchase Order	€28,204.32
31 Mar 2019	EMDM OFFICES LTD TA NEWFORM OFFICE INTERIORS	Contract & Trade Services	Purchase Order	€35,885.74
31 Mar 2019	EIR (FORMERLY EIRCOM)	Communication	Purchase Order	€27,508.47
31 Mar 2019	CITIUS LTD	Contract & Trade Services	Purchase Order	€25,268.24
31 Mar 2019	GLENMAN CORPORATION LTD	Capital Contract	Purchase Order	€115,005.31
31 Mar 2019	PARKRITE	Contract & Trade Services	Purchase Order	€72,557.39
31 Mar 2019	PADRAIG THORNTON WASTE DISPOSAL LTD	Contract & Trade Services	Purchase Order	€63,466.23

^* 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