Payments over €20,000 Q1 2019

Spending records

Payment date^*	Description	Kind	Amount
31 Mar 2019	Portfolio Management and Related Expenses	Purchase Order	€20,295.00
31 Mar 2019	Research and Publications	Purchase Order	€35,112.00
31 Mar 2019	Tax Advice	Purchase Order	€65,045.00
31 Mar 2019	Occupancy Costs	Purchase Order	€104,751.00
31 Mar 2019	Insurance Costs	Purchase Order	€121,826.00
31 Mar 2019	Accounting and Audit	Purchase Order	€175,009.00
31 Mar 2019	Transaction Costs	Purchase Order	€177,764.00
31 Mar 2019	Master Servicer	Purchase Order	€233,333.00
31 Mar 2019	Loan Sales Costs	Purchase Order	€472,117.00
31 Mar 2019	Rent	Purchase Order	€608,884.00
31 Mar 2019	Systems Costs	Purchase Order	€904,886.00
31 Mar 2019	Borrower Recoverable	Purchase Order	€1,237,451.00
31 Mar 2019	Legal	Purchase Order	€1,753,024.00
31 Mar 2019	Primary Servicer	Purchase Order	€1,855,834.00
31 Mar 2019	NTMA Recharge	Purchase Order	€8,180,874.00

^* 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.

Here is a project that encountered similar issues