Meet the team

At Staples Rodway we are anything but cookie cutter bean counters. It’s our people that set us apart. Get to know the people that make Staples Rodway tick.

David Goodall

David Goodall

David is an audit manager who joined Staples Rodway Taranaki in 2014. Prior to joining Staples Rodway he worked in the United Kingdom where he qualified as a chartered accountant in 2011. He immigrated to New Zealand following a successful secondment as part of the Baker Tilly International network.
He is responsible for overseeing the management of assignments and principal areas of work include audit and assurance, internal auditing, forensic accounting, fraud examination and financial reporting under IFRS/IPSAS.

  • Manufacturing
  • Property Ownership Schemes
  • Not for Profits and charitable organisations
  • Oil & Gas
  • Education
  • Member of Institute of Chartered Accountants of Scotland
  • Member of Chartered Accountants of Australia and New Zealand

Articles by David Goodall

    Financial Reporting for Large Charities
    1 February 2018
    The new accounting standard establishes mandatory requirements for Tier 1 and Tier 2 public benefit entities to present service performance information within their annual financial statements.
    Registered Charities – Statutory Audit or Review
    15 May 2017
    The reporting standards now determine the information charities need to provide as part of their annual reporting process, which is a legal requirement for all registered charities.
    New Service Launched to Assist in Identifying Fraud
    2 April 2017
    Are you concerned about your business’s exposure to fraudulent activity? Would you like some assurance that the payments you make to your suppliers are all legitimate? Do you have appropriate procedures in place when checking your payments for approval or authorising bank transactions? Our Audit team has introduced a new service which assists in the identification of fraudulent or unusual activity, therefore providing your business with added confidence around anomalies in data.
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