Payments Over €20,000 Q4 2022

Spending records

Payment date^*	Supplier	Description	Kind	Amount
07 Oct 2022	HALL CONSERVATION LTD	Statuary Conservation in Glenveagh, Payment 4	Purchase Order	€36,900.06
07 Oct 2022	CAMPBELL SCIENTIFIC LTD	Meterological Equipment	Purchase Order	€21,300.00
07 Oct 2022	ENVIRO TECHNOLOGY SERVICES PLC	Meterological Equipment	Purchase Order	€24,774.50
06 Oct 2022	Rhododendron Clearance Letterfrack		Purchase Order	€144,274.75
06 Oct 2022	O'HARA & HARRISON LTD.	Glenveagh Electrical Works at VC Restuarant	Purchase Order	€28,976.00
06 Oct 2022	RPS IRELAND LTD	Peatlands and People - Hydrological support	Purchase Order	€36,900.00
06 Oct 2022			Purchase Order	€23,345.40
06 Oct 2022	Utility Bill		Purchase Order	€32,650.24
04 Oct 2022	BORD NA MONA ENERGY LTD	National Parks and Wildlife Service - Peatlands Restoration Works	Purchase Order	€45,036.83
04 Oct 2022	BORD NA MONA ENERGY LTD	National Parks and Wildlife Service - Professional Services	Purchase Order	€67,491.04
04 Oct 2022	BORD NA MONA ENERGY LTD	National Parks and Wildlife Service - Project Management	Purchase Order	€79,175.73
04 Oct 2022	BORD NA MONA ENERGY LTD	National Parks and Wildlife Service - Peatlands Restoration Works	Purchase Order	€28,404.00

^* 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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