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DCAA Materiality Standards for Incurred Cost Audits

Client Alert | 1 min read | 08.01.19

On July 19, 2019, the DCAA issued a memo implementing new materiality standards and guidance for their use in incurred cost audits initiated after July 19, 2019. This policy was implemented in response to FY 2018 NDAA, Section 803, which required DCAA to adopt commercially accepted standards of materiality for incurred cost audits, and aims to facilitate a “consistent approach that helps an auditor determine the nature, timing, and extent” of audit procedures on cost elements and accounts that are “significant, or material, to the audit opinion.” Specifically, the memo recommends that auditors first calculate the quantitative materiality threshold by determining the total subject matter of the audit (generally, Auditable Dollar Volume (ADV) plus assist audit amount(s)). Thereafter, the auditor should calculate the quantified materiality amount using one of two formulas, which are based on the aforementioned subject matter amount and reflect the same formulas set forth in the Section 809 Panel’s Professional Practice Guide (discussed here). The result of such calculation is a threshold that is inversely related to the subject matter amount (i.e., as the amount of subject matter cost increases, the materiality threshold decreases). Numbers aside, the memo emphasizes the importance of considering qualitative factors (e.g., customer concerns and prior findings) in determining materiality, the relative importance of which is subject to the auditor’s professional judgment.

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Client Alert | 3 min read | 08.03.26

New Jersey Takes Aim at Algorithmic and Surveillance Pricing: What Landlords and Retailers Need to Know About the FAIR Act and the Fair Price Protection Act

On July 20, 2026, New Jersey Governor Mikie Sherrill signed the Forbidding the Algorithmic Inflation of Rent (FAIR) Act into law, making New Jersey the fourth state to regulate algorithmic rent-setting practices. Three days later, on July 23, 2026, Governor Sherrill signed the Fair Price Protection Act, which targets “surveillance pricing”—the practice of using or collecting personal data about a user and using an algorithm or artificial intelligence to charge different consumers different prices for the same products. Together, these laws represent a significant expansion of New Jersey's consumer protection framework in the algorithmic pricing context....