Purchase Orders over €20,000 by Category Q4 2025

Spending records

Payment date^*	Description	Kind	Amount
31 Dec 2025	Venue Hire	Purchase Order	€22,170.00
31 Dec 2025	Engineering Equipment	Purchase Order	€26,955.20
31 Dec 2025	Travel	Purchase Order	€20,220.51
31 Dec 2025	Travel	Purchase Order	€29,623.50
31 Dec 2025	Travel	Purchase Order	€35,642.00
31 Dec 2025	Travel	Purchase Order	€60,000.00
31 Dec 2025	Travel	Purchase Order	€60,000.00
31 Dec 2025	Travel	Purchase Order	€110,000.00
31 Dec 2025	Travel	Purchase Order	€121,841.50
31 Dec 2025	Travel	Purchase Order	€215,490.00
31 Dec 2025	Event Management	Purchase Order	€39,105.75
31 Dec 2025	Library Shop	Purchase Order	€54,636.25
31 Dec 2025	Legal Services	Purchase Order	€97,256.00
31 Dec 2025	Advertising	Purchase Order	€207,125.00
31 Dec 2025	Audit Services	Purchase Order	€239,747.31
31 Dec 2025	HR	Purchase Order	€374,044.00
31 Dec 2025	Travel	Purchase Order	€652,817.51
31 Dec 2025	Marketing	Purchase Order	€732,290.00
31 Dec 2025	Recruitment	Purchase Order	€780,920.00
31 Dec 2025	Professional Services	Purchase Order	€1,050,621.98
31 Dec 2025	Library	Purchase Order	€1,211,803.00
31 Dec 2025	Capital	Purchase Order	€1,577,738.49
31 Dec 2025	Insurance	Purchase Order	€2,264,539.44
31 Dec 2025	Laboratory	Purchase Order	€2,388,436.00
31 Dec 2025	ICT	Purchase Order	€6,111,902.20
31 Dec 2025	Facilities	Purchase Order	€20,812,542.46

^* 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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