Purchase Orders Over €20,000 Q1 2026

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2026	Manguard Plus Ltd.	Security	Purchase Order	€350,000.00
31 Mar 2026	Manguard Plus Ltd.	Security	Purchase Order	€240,000.00
31 Mar 2026	Cantec Business Technology Ltd.	Managed Print	Purchase Order	€160,000.00
31 Mar 2026	Viatel Technology Group	ICT Hardware	Purchase Order	€159,210.00
31 Mar 2026	Energia	Utilities	Purchase Order	€100,000.00
31 Mar 2026	Mount Charles Group	Office Cleaning	Purchase Order	€100,000.00
31 Mar 2026	SOS Group	Reception Services	Purchase Order	€77,000.00
31 Mar 2026	Cantec Business Technology Ltd.	Managed Print	Purchase Order	€50,000.00
31 Mar 2026	Ergo Services Ltd.	ICT Networks	Purchase Order	€45,550.00
31 Mar 2026	DGD Shredding	Shredding	Purchase Order	€34,000.00
31 Mar 2026	An Post	Postage	Purchase Order	€30,000.00
31 Mar 2026	Wheels We Deliver	Couriers	Purchase Order	€25,000.00
31 Mar 2026	Viatel Technology Group	ICT Hardware	Purchase Order	€22,650.00
31 Mar 2026	Dye & Durham Ltd.	Legal Searches	Purchase Order	€105,600.00
31 Mar 2026	Marco Logistics T/A Careline	Relocation Services	Purchase Order	€49,000.00
31 Mar 2026	Ergo Services Ltd.	ICT Networks	Purchase Order	€21,875.00
31 Mar 2026	Bloomsbury	Software Subscription	Purchase Order	€41,387.00
31 Mar 2026	Thomson Reuters Ltd.	Software Subscription	Purchase Order	€69,547.00

^* 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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