Purchase Orders Over €20,000 Q1 2025

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2025	RSMIRELANDBU	Internal Audit Services	Purchase Order	€35,986.97
31 Mar 2025	PWCSERVICESU	Consultancy	Purchase Order	€60,885.00
31 Mar 2025	OSBORNERECR	Temp Services	Purchase Order	€25,013.25
31 Mar 2025	OCSONECOMPLE	Facilities Management	Purchase Order	€111,494.70
31 Mar 2025	NATIONALSHAR	Recoupment of Onelearning expenses	Purchase Order	€36,900.00
31 Mar 2025	MAZARS	Consultancy	Purchase Order	€32,613.88
31 Mar 2025	LANTECHITSER	IT Services	Purchase Order	€60,495.57
31 Mar 2025	GREENVILLEPR	Education & Procurement Services	Purchase Order	€145,519.23
31 Mar 2025	GRANTTHORNTO	Consultancy	Purchase Order	€60,147.00
31 Mar 2025	FOTAISLANDRE	Events Services	Purchase Order	€22,941.20
31 Mar 2025	EBSCOINTERNA	Ebooks/Digital Journals	Purchase Order	€38,183.49
31 Mar 2025	DELLCOMPUTE	IT Products	Purchase Order	€26,076.00
31 Mar 2025	CONSCIALIMIT	Recruitment Services	Purchase Order	€25,747.59
31 Mar 2025	BRINDARELTD	Catering Services	Purchase Order	€29,939.16
31 Mar 2025	BRAMBLESDELI	Catering Services	Purchase Order	€23,357.85
31 Mar 2025	ALTHRIS	Associate	Purchase Order	€48,594.50

^* 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