Purchase Orders Over €20,000 Q1 2022

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2022	TOORADOO CONSTRUCTION LTD	Hire (Ext) - Plant/Transport/Machinery & Equipment	Purchase Order	€21,792.00
31 Mar 2022	DOC MECHANICAL SERVICES LTD	Hire (Ext) - Plant/Transport/Machinery & Equipment	Purchase Order	€29,520.00
31 Mar 2022	NAUTIC INFLATABLES (SERVICES LTD)	Non-Capital Equip Purchase - Fire Services	Purchase Order	€35,235.00
31 Mar 2022	DAVE POWER PLANT LTD	Plant Long Life Suspense	Purchase Order	€71,340.00
31 Mar 2022	PROCLOUD HORIZON LTD T/A PROCLOUD	Computer Software and Maintenance Fees	Purchase Order	€33,604.78
31 Mar 2022	WATERFORD AREA PARTNERSHIP	Capital Contracts Expenditure	Purchase Order	€320,242.50
31 Mar 2022	IRISH TAR & BITUMEN SUPPLIERS LTD	Bitumen Stores	Purchase Order	€20,811.44
31 Mar 2022	CIRCLE K IRELAND ENERGY LTD	Fuel Stores	Purchase Order	€61,712.15
31 Mar 2022	IRISH TAR & BITUMEN SUPPLIERS LTD	Bitumen Stores	Purchase Order	€21,122.30
31 Mar 2022	CIRCLE K IRELAND ENERGY LTD	Fuel Stores	Purchase Order	€29,675.80
31 Mar 2022	CIRCLE K IRELAND ENERGY LTD	Fuel Stores	Purchase Order	€48,060.74
31 Mar 2022	CIRCLE K IRELAND ENERGY LTD	Fuel Stores	Purchase Order	€25,531.16
31 Mar 2022	CIRCLE K IRELAND ENERGY LTD	Fuel Stores	Purchase Order	€46,548.70

^* 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