Payments/POs over €20,000 Q1 2026

Spending records

Payment date^*	Supplier	Description	Kind	Amount
16 Mar 2026	NSAI	ICT Licences, Support & Maintenance	Purchase Order	€25,910.00
03 Mar 2026	Logicalis Solutions Limited	ICT Licences, Support & Maintenance	Purchase Order	€102,600.00
24 Feb 2026	Micromail Ltd	ICT Licences, Support & Maintenance	Purchase Order	€26,472.69
16 Feb 2026	DIGISOLID	Software Development	Purchase Order	€139,000.00
10 Feb 2026	Abtran Ltd	External Service Provider	Purchase Order	€973,512.75
23 Jan 2026	Sigmar Recruitment	Temporary Staff	Purchase Order	€268,394.30
23 Jan 2026	Morgan McKinley (Premier Recruitment International	Temporary Staff	Purchase Order	€109,326.49
23 Jan 2026	Attentius Associates Ltd T/A Osborne	Temporary Staff	Purchase Order	€93,029.10
22 Jan 2026	CPL Solutions Ltd	Temporary Staff	Purchase Order	€319,978.59
22 Jan 2026	Orange Recruitment Ireland Ltd	Temporary Staff	Purchase Order	€162,665.69
22 Jan 2026	Staffline Recruitment	Temporary Staff	Purchase Order	€77,077.66
08 Jan 2026	Ergo	Business Analysis Services	Purchase Order	€48,000.00
08 Jan 2026	NAE Investments Ltd	Office Rent	Purchase Order	€70,164.00
08 Jan 2026	Forest Park Partnership	Office Rent	Purchase Order	€65,000.00
07 Jan 2026	Moralto Investments Ltd	Office Rent	Purchase Order	€122,640.00
06 Jan 2026	Limerick Enterprise Development Partnership Ltd	Office Rent	Purchase Order	€33,915.00

^* 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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