Purchase Orders Over €20,000 Q2 2023

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Jun 2023	ELECTRIC IRELAND	Electric Charges	Purchase Order	€99,877.25
30 Jun 2023	HENRY FORD & SON LIMITED	Transit Van 350L3H2 105PS FWD	Purchase Order	€33,910.01
30 Jun 2023	ELECTRIC IRELAND	Electricity T9	Purchase Order	€26,641.19
30 Jun 2023	ELECTRIC IRELAND	Electricity T10 Tolk	Purchase Order	€22,889.43
30 Jun 2023	ELECTRIC IRELAND	Electricity	Purchase Order	€21,356.16
30 Jun 2023	RECORDS STORAGE SERVICES	Rent Inv	Purchase Order	€22,061.34
30 Jun 2023	RECORDS STORAGE SERVICES	Storage INV	Purchase Order	€22,061.34
30 Jun 2023	RECORDS STORAGE SERVICES	Storage Inv	Purchase Order	€22,061.34
30 Jun 2023	QUADIENT FINANCE IRLEAND LTD	rental of franking equiptment	Purchase Order	€48,582.47
30 Jun 2023	APLEONA HSG LIMITED	DAFM Admin main pavement replacemnt work	Purchase Order	€39,733.67
30 Jun 2023	APLEONA HSG LIMITED	DAFM Admin new Calorifier in boiler room	Purchase Order	€27,440.72
30 Jun 2023	APLEONA HSG LIMITED	DAFM Admin Fees	Purchase Order	€36,888.44
30 Jun 2023	APLEONA HSG LIMITED	DAFM Admin Fees	Purchase Order	€36,888.44
30 Jun 2023	APLEONA HSG LIMITED	DAFM Admin Fees	Purchase Order	€36,888.44
30 Jun 2023	PELKO	220 x Office Fabric Chairs	Purchase Order	€66,297.00
30 Jun 2023	PELKO	Office Pedestal Seating	Purchase Order	€23,247.00

^* 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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