Purchase Orders Over €20,000 Q3 2020

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Sep 2020	Margaret Ryan & Company	Managed payroll provider.	Purchase Order	€20,242.81
30 Sep 2020	Ronan Daly Jermyn	Legal fees.	Purchase Order	€23,448.79
30 Sep 2020	RSM Ireland Business Advisory	HR support services.	Purchase Order	€25,981.29
30 Sep 2020	Benchmark Hainault Property	Property rental charges.	Purchase Order	€28,926.56
30 Sep 2020	Datapac Ltd	Managed Print Supplier, other printers and related supplies.	Purchase Order	€33,637.79
30 Sep 2020	Georges Quay Management	Property service charges.	Purchase Order	€33,703.63
30 Sep 2020	Gilligan Black Recruitment	Job application shortlisting services & agency staff placement.	Purchase Order	€35,485.01
30 Sep 2020	PHD Media Ireland Ltd	Media buying and strategy services.	Purchase Order	€51,271.88
30 Sep 2020	Mayan Construction Ltd	Property rental charges.	Purchase Order	€58,550.64
30 Sep 2020	Accounting software implementation costs.		Purchase Order	€70,769.63
30 Sep 2020	Micromail	Software quotation, purchasing and licensing management	Purchase Order	€72,185.02
30 Sep 2020	Unity	ICT managed helpdesk.	Purchase Order	€78,788.88
30 Sep 2020	Vodafone	Network and Telephony Services.	Purchase Order	€119,765.51
30 Sep 2020	PC Peripherals	ICT Hardware purchases.	Purchase Order	€170,723.35
30 Sep 2020	Green Reit (Georges Quay & Court) Ltd	Property rental charges.	Purchase Order	€184,868.64
30 Sep 2020	Hibernia Evros - Technology Group	Managed Infrastructure Services running core ICT systems.	Purchase Order	€215,269.81

^* 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