Impairment Calculator
for Manufacturing

IAS 36 impairment testing for Manufacturing

Manufacturing entities carry heavy fixed-asset balances. Property, plant, and equipment often represents 40% to 60% of total assets on a mid-market manufacturer's balance sheet. That concentration means even a modest impairment charge can materially affect reported profit and net assets. IAS 36.9 lists several indicators especially relevant to manufacturers: significant decline in an asset's market value beyond normal depreciation, evidence of physical damage or obsolescence, and internal reporting showing an asset's economic performance is worse than expected. In cyclical industries like automotive components or steel fabrication, external indicators such as declining commodity prices or loss of a major customer contract can trigger testing across multiple CGUs simultaneously.

Defining CGUs is where most manufacturing impairment tests get complicated. IAS 36.66 defines a CGU as the smallest group of assets generating cash inflows largely independent of other assets. For a manufacturer running three production lines in one factory, the question is whether each line is a separate CGU or whether the factory as a whole is the CGU. The answer depends on whether each line's output is sold independently or fed into a shared downstream process. Getting this wrong cascades through the entire test. If a CGU is drawn too broadly, profitable lines mask an impaired line. If drawn too narrowly, shared assets (the factory roof, the loading bay) need allocating under IAS 36.102, which adds complexity and judgment. Auditors should document the CGU boundary rationale with reference to how management monitors operations internally, consistent with the indicators in IAS 36.69.

Audit inspections repeatedly flag two manufacturing-specific issues. First, preparers include capital expenditure for planned capacity upgrades in VIU projections, violating IAS 36.44(a). The cash flows should reflect the asset in its current condition, not a future improved state. Second, discount rates often fail to adjust for asset-specific risk. A production line manufacturing components for a single customer in a declining sector carries different risk from a diversified consumer goods line. Using one blended WACC across all CGUs, without adjustment, contradicts IAS 36.55's requirement that the rate reflect risks specific to the asset. Auditors working under ISA 540 should build an independent expectation of the appropriate rate range rather than accepting management's single figure.

When using this calculator for manufacturing CGUs, input the carrying amount of all assets allocated to the CGU (including any allocated goodwill and corporate assets under IAS 36.102). Set the discount rate to a pre-tax WACC adjusted for the specific CGU's risk profile. For terminal growth rate, manufacturing entities in mature European markets typically sit between 1.0% and 2.0%. The forecast period should match management's board-approved budget, usually three to five years. Run the sensitivity analysis by adjusting the discount rate up by 100 basis points and the growth rate down by 50 basis points to see how much headroom the CGU has before impairment is triggered.