Purchase Orders Over €20,000 Q1 2020

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2020	202001 200010673 Dublin Bus	Travel Pass Scheme	Purchase Order	€20,650
31 Mar 2020	202001 200010696 Thomson Reuters Ireland Limited	Online Legal Information Service 2020	Purchase Order	€20,861
31 Mar 2020	202001 200010689 Cannon Business Equipment Ltd.,	Photocopiers Meterage Charges	Purchase Order	€25,000
31 Mar 2020	202001 200010692 Xerox IBS Ltd.,	Photocopiers Meterage Charges	Purchase Order	€30,000
31 Mar 2020	202001 100010738 Bloomsbury Professional	Online Legal Information Service Feb 2020 - Feb 2021	Purchase Order	€31,204
31 Mar 2020	202001 200010690 First Direct Courier Co.,	Courier Service	Purchase Order	€35,000
31 Mar 2020	202001 200010733 Electric Ireland	Electricity Supply	Purchase Order	€89,998
31 Mar 2020	202001 200010691 Energia	Electricity Supply	Purchase Order	€90,000
31 Mar 2020	202001 200010722 Electric Ireland	Electricity Supply	Purchase Order	€90,000
31 Mar 2020	202002 200010866 Cannon Business Equipment Ltd.,	Photocopiers Meterage Charges	Purchase Order	€25,000
31 Mar 2020	202002 200010864 Xerox IBS Ltd.,	Photocopiers Meterage Charges	Purchase Order	€30,010
31 Mar 2020	202002 200010834 Eir	Landline Phone Service	Purchase Order	€35,001
31 Mar 2020	202002 200010884 Datapac Consumables Ltd.,	HP Laptops	Purchase Order	€37,288
31 Mar 2020	202002 200010809 Rochford Brady Legal Services Ltd.,	Retainer Fee x 12 Month	Purchase Order	€94,800
31 Mar 2020	202003 200010915 Datapac Consumables Ltd.,	Dell Laptops	Purchase Order	€33,994

^* 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