Correction of an error, Contingencies

10/08/2021 0 By indiafreenotes

Step 1: Identify an Error

Accounting changes should be distinguished from error corrections. An error in previously issued financial statements is:

“An error in recognition, measurement, presentation, or disclosure in financial statements resulting from mathematical mistakes, mistakes in the application of generally accepted accounting principles (GAAP), or oversight or misuse of facts that existed at the time the financial statements were prepared.”

Accordingly, a change in an accounting policy from one that is not generally accepted by GAAP to one that is generally accepted by GAAP is considered an error correction, not a change in accounting principle. Likewise, if information is misinterpreted or old data is used when more current information is available in developing an estimate, an error exists, not a change in estimate.  Moreover, as it relates to the classification and presentation of account balances on the face of the financial statements, many confuse errors with “reclassifications”. Changing the classification of an account balance from an incorrect presentation to the correct presentation is considered an error correction, not a reclassification (see Section 4 below for more on reclassifications).

Step 2: Assess Materiality of Error

Once an error is identified, the accounting and reporting conclusions will depend on the materiality of the error(s) to the financial statements. In connection with decisions related to the interpretation of federal securities laws, the Supreme Court has concluded that an item is considered material if there is “a substantial likelihood that the fact would have been viewed by the reasonable investor as having significantly altered the ‘total mix’ of information made available.”  While assessing the materiality of an error is not the subject of this publication, companies (particularly SEC registrants) are directed to consider both the quantitative and qualitative considerations outlined in the extensive materiality guidance set forth in SEC Staff Accounting Bulletin (“SAB”) Topics 1.M and 1.N (formerly referred to as SAB Nos. 99 and 108, respectively).  Materiality should be assessed with respect to the misstatement’s impact on prior period financial statements and, in the event prior period financial statements are not restated or adjusted, with respect to the impact of the misstatement’s correction on the current period financial statements.

Step 3: Report Correction of Error

Reporting the correction of the errors depends on the materiality of the errors to both the current period and prior period financial statements.  The error is corrected through one of the following three methods: 

Out-of-period adjustment: An error is corrected within the current period as an out-of-period adjustment when it is considered to be clearly immaterial to both the current and prior period(s).  Disclosures are generally not required for immaterial out-of-period adjustments. However, there may be circumstances in which the out-of-period adjustment stands out (e.g., it appears as a reconciling item in the rollforward of an account balance) that may warrant consideration of disclosure about the item’s nature.     

Little r restatement”: An error is corrected through a “Little r restatement” (also referred to as a revision restatement) when the error is immaterial to the prior period financial statements; however, correcting the error in the current period would materially misstate the current period financial statements (e.g., this often occurs as a result of an immaterial error that has been uncorrected for multiple periods and has aggregated to a material number within the current year). Under this approach, the entity would correct the error in the current year comparative financial statements by adjusting the prior period information and adding disclosure of the error. 

Big R Restatement”: An error is corrected through a “Big R restatement” (also referred to as re-issuance restatements) when the error is material to the prior period financial statements. A Big R restatement requires the entity to restate and reissue its previously issued financial statements to reflect the correction of the error in those financial statements. Correcting the prior period financial statements through a Big R restatement is referred to as a “restatement” of prior period financial statements.

Contingencies

When estimating the cost for a project, product or other item or investment, there is always uncertainty as to the precise content of all items in the estimate, how work will be performed, what work conditions will be like when the project is executed and so on. These uncertainties are risks to the project. Some refer to these risks as “known-unknowns” because the estimator is aware of them, and based on past experience, can even estimate their probable costs. The estimated costs of the known-unknowns is referred to by cost estimators as cost contingency.

Contingency “refers to costs that will probably occur based on past experience, but with some uncertainty regarding the amount. The term is not used as a catchall to cover ignorance. It is poor engineering and poor philosophy to make second-rate estimates and then try to satisfy them by using a large contingency account. The contingency allowance is designed to cover items of cost which are not known exactly at the time of the estimate but which will occur on a statistical basis.”

The cost contingency which is included in a cost estimate, bid, or budget may be classified as to its general purpose, that is what it is intended to provide for. For a class 1 construction cost estimate, usually needed for a bid estimate, the contingency may be classified as an estimating and contracting contingency. This is intended to provide compensation for “estimating accuracy based on quantities assumed or measured, unanticipated market conditions, scheduling delays and acceleration issues, lack of bidding competition, subcontractor defaults, and interfacing omissions between various work categories.” Additional classifications of contingency may be included at various stages of a project’s life, including design contingency, or design definition contingency, or design growth contingency, and change order contingency (although these may be more properly called allowances).

AACE International has defined contingency as “An amount added to an estimate to allow for items, conditions, or events for which the state, occurrence, or effect is uncertain and that experience shows will likely result, in aggregate, in additional costs. Typically estimated using statistical analysis or judgment based on past asset or project experience. Contingency usually excludes:

  • Major scope changes such as changes in end product specification, capacities, building sizes, and location of the asset or project
  • Extraordinary events such as major strikes and natural disasters
  • Management reserves
  • Escalation and currency effects

Some of the items, conditions, or events for which the state, occurrence, and/or effect is uncertain include, but are not limited to, planning and estimating errors and omissions, minor price fluctuations (other than general escalation), design developments and changes within the scope, and variations in market and environmental conditions. Contingency is generally included in most estimates, and is expected to be expended”.

A key phrase above is that it is “expected to be expended”. In other words, it is an item in an estimate like any other, and should be estimated and included in every estimate and every budget. Because management often thinks contingency money is “fat” that is not needed if a project team does its job well, it is a controversial topic.

In general, there are four classes of methods used to estimate contingency. .” These include the following:

  • Expert judgment
  • Predetermined guidelines (with varying degrees of judgment and empiricism used)
  • Simulation analysis (primarily risk analysis judgment incorporated in a simulation such as Monte-Carlo)
  • Parametric Modeling (empirically-based algorithm, usually derived through regression analysis, with varying degrees of judgment used).