Purchase Orders over €20,000 Q4 2025

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2025	Fisher & Paykel	High Flow Humidified Air 02 units	Purchase Order	€222,000.00
31 Dec 2025	Brainlab Ltd	Spinal Imaging & Navigation System	Purchase Order	€1,383,969.03
31 Dec 2025	Cusack Electrical	NCH Special Feeds Freezers.	Purchase Order	€49,476.80
31 Dec 2025	Sword Medical Ltd	Endoscope Drying and Storage Solution	Purchase Order	€32,536.56
31 Dec 2025	Healthcare 21	ECHO Couch	Purchase Order	€29,744.00
31 Dec 2025	Rockford Healthcare	Sterile Instruments Storage	Purchase Order	€28,889.50
31 Dec 2025	BDP	Stage 4 Design Team Services	Purchase Order	€979,314.00
31 Dec 2025	Aerogen Ltd	Nebuliser	Purchase Order	€70,000.00
31 Dec 2025	McCann Fitzgerald	Board Secretarial Services	Purchase Order	€91,733.80
31 Dec 2025	Nanosonics Europe GmbH	Trophon HLD devices	Purchase Order	€139,100.00
31 Dec 2025	MG Healthcare Ltd	Surgical Instrument Sets	Purchase Order	€87,392.00
31 Dec 2025	KD Surgical Ltd	Surgical Instrument Sets	Purchase Order	€58,543.32
31 Dec 2025	Tekno Surgical part of unipharmedtech	Orthopaedic SI & Sets	Purchase Order	€121,181.62
31 Dec 2025	MW Hire	Generator and BES (Battery) Hire	Purchase Order	€26,400.00

^* 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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