Purchase Orders Over €20,000 Q4 2018

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2018	Envirico Ltd.	Capital Works Contract	Purchase Order	€182,089.00
31 Dec 2018	Airtricity Utility Solutions Ltd	Public Lighting Project	Purchase Order	€220,947.00
31 Dec 2018	Gas Networks Ireland	Capital Works Contract	Purchase Order	€266,694.00
31 Dec 2018	Allman Con Ltd & Mid Cork Tar Ltd	Capital Works Contract	Purchase Order	€270,896.00
31 Dec 2018	RPS Consulting Engineers Ltd	Road Improvement Scheme	Purchase Order	€453,509.00
31 Dec 2018	M Fitzgibbon Contractors Limited	Capital Works Contract	Purchase Order	€615,610.00
31 Dec 2018	Roadstone Ltd	Consultancy Services	Purchase Order	€699,056.00
31 Dec 2018	Ned O Shea and Sons (Construction) Ltd	Capital Works Contract	Purchase Order	€754,151.00
31 Dec 2018	Kenmare Plant Hire Ltd t/a KPH Construction	Capital Works Contract	Purchase Order	€772,274.00
31 Dec 2018	McSweeney Bros Quarries Ltd	Road resurfacing Works	Purchase Order	€990,921.00
31 Dec 2018	Glas Civil Engineering Ltd	Capital Works Contract	Purchase Order	€1,379,434.00
31 Dec 2018	McSweeney Bros. Contracts Ltd.	Road Resurfacing Works	Purchase Order	€1,415,032.00
31 Dec 2018	Sorensen Civil Engineering Ltd	Capital Works Contract	Purchase Order	€2,773,849.00

^* 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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