A company reports Rs 15 crore improvement in operating profit year-on-year. The management presentation attributes the improvement to operational efficiency, pricing discipline and cost management. The board approves the performance assessment. The compensation committee releases the bonus.
Hidden in the notes, in a paragraph that most readers skip, is the disclosure: “During the year, the company revised the estimated useful lives of certain categories of plant and machinery from 10 years to 15 years. The effect of this change in estimate is a reduction in depreciation charge of Rs 8 crore for the current year.”
Of the Rs 15 crore improvement, Rs 8 crore, more than half, came not from operational improvement but from an accounting estimate change. The business did not improve by Rs 15 crore. The assumptions used to measure the business changed by Rs 8 crore. The remaining Rs 7 crore was genuine operational improvement.
The distinction matters enormously, because the estimate change is a one-time shift in measurement, not a recurring improvement in performance. Next year’s depreciation will continue at the lower rate, but the year-over-year improvement from the change will not repeat. The Rs 8 crore benefit appeared once. The Rs 7 crore of genuine improvement may continue.
How Estimate Changes Affect Reported Performance
Useful-life extensions
Extending the useful life of a fixed asset reduces the annual depreciation charge for the remaining life of the asset. The effect is immediate and material for companies with large fixed-asset bases. A manufacturing company extending useful lives across its major asset categories can improve EBITDA by 2% to 5% through depreciation reduction alone.
Residual value adjustments
Increasing the estimated residual value of a depreciable asset reduces the depreciable amount and therefore the annual depreciation charge. A vehicle fleet with a carrying value of Rs 50 crore and a residual value increased from 5% to 15% reduces the depreciable amount by Rs 5 crore, producing a permanent reduction in annual depreciation.
Impairment assumption changes
Revising the growth rate, margin, terminal value or discount rate assumptions in an impairment model can convert an impairment requirement into a no-impairment conclusion. The business has not improved. The assumptions used to test whether the business has deteriorated have been changed.
ECL methodology adjustments
Changing the PD estimation methodology, the LGD assumption, the macroeconomic scenario weights or the staging threshold in the ECL model can reduce the provision by amounts that flow directly to reported profit. The credit quality of the underlying exposures has not changed. The model used to measure expected losses has.
Actuarial assumption changes
For companies with defined benefit obligations (gratuity, pension), changes in the discount rate, the salary escalation rate, the attrition rate or the mortality table affect the obligation and, consequently, the P&L charge. A company that increases its discount rate by 50 basis points may reduce its reported gratuity expense by Rs 2 to 5 crore, depending on the size of the obligation.
Provision re-estimation
Revising the estimated cost of a warranty obligation, a litigation exposure, a restructuring programme or an environmental remediation downward reduces the provision and releases the difference to the P&L as a gain. The underlying uncertainty may or may not have changed. The estimate has.
The Forensic Test
In Northrop Management Private Limited’s forensic and financial reporting work, estimate change analysis follows a structured approach.
Step 1: Identify all estimate changes. From the notes to the financial statements and the accounting policy disclosures, identify every change in accounting estimate during the period: useful lives, residual values, depreciation methods, impairment assumptions, ECL methodology, actuarial assumptions, provision estimates.
Step 2: Quantify the P&L impact. For each change, calculate the effect on reported profit in the current period. Ind AS 8 requires disclosure of the financial effect of changes in accounting estimates, though the disclosure is sometimes buried in the notes.
Step 3: Separate estimate-driven improvement from operational improvement. Subtract the aggregate P&L impact of estimate changes from the reported improvement in operating profit. The remainder is the genuine operational improvement.
Step 4: Assess the justification. For each estimate change, evaluate: what evidence supports the change? Did the economic circumstances genuinely change (technology improved, asset condition improved, credit environment improved), or did the reporting requirement change (earnings needed a boost, covenants needed headroom, compensation targets needed to be met)?
Step 5: Test management incentives. Is the estimate change in the direction that improves the metric on which management is compensated? If yes, the change may be legitimate, but it warrants additional scrutiny to confirm that the change is supported by evidence rather than motivated by incentive.
Ashish Chaudhary, frames the governance discipline directly: “Sometimes the business does not improve. The assumptions used to measure the business do. A useful-life extension that reduces depreciation by Rs 8 crore produces the same P&L improvement as a cost-saving initiative that reduces operating costs by Rs 8 crore. The P&L cannot distinguish between the two. The board must.”
Questions for the Boardroom
- What changes in accounting estimates were made during the current year, and what was the aggregate P&L impact?
- If we subtract the estimate-change impact from reported profit improvement, what was the genuine operational improvement?
- For each estimate change, what evidence supports the change, and was the evidence generated before or after the need for improved results was identified?
- Are any of our estimate changes in the direction that favours the metrics on which management compensation is calculated?
- How would our reported performance look if no estimate changes had been made during the period?
Closing Implication
Accounting estimates are the assumptions that measurement depends on. When they change, the measurement changes. The business may not. The board that separates estimate-driven performance from operational performance governs with the distinction between what the company achieved and what the company’s accountants assumed. The board that accepts the aggregate number without decomposition governs without knowing whether the improvement is real.