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Key Value Drivers Under Each Valuation Approach

Effective sensitivity analysis focuses on the assumptions that materially influence value rather than testing every input. The drivers differ by approach — WACC and terminal...

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IBC Insolvency
Published
September 7, 2026
Last updated
Sep 7, 2026
Reading time
4 min
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Last updated: September 2026Verified against: Government sources

Income Approach key value drivers

DriverWhy it drives value
Discount rate (WACC)Often the most sensitive input in a DCF; even a small change can significantly affect enterprise value
Revenue growth rateDrives projected cash flows and influences both forecast-period value and terminal value
EBITDA or operating marginsDetermines the profitability of projected revenues and therefore free cash flow available to investors
Terminal growth rateMaterial impact because terminal value often represents a significant portion of total enterprise value
Going-concern assumptionsWhere continuity is uncertain, the difference between a going-concern and a distressed or liquidation scenario may be the single largest driver of value
Two of the five compound each other

The revenue growth rate influences both the forecast period and the terminal value, and the terminal growth rate acts on a number that is already a significant portion of enterprise value.

That is why a sensitivity matrix in a DCF is conventionally run on WACC against terminal growth rather than on either alone. Each moves value on its own; together they move it multiplicatively, and a table that varies only one at a time understates how far the conclusion can travel within an entirely reasonable range of both.

The fifth driver is different in kind. Going-concern versus liquidation is not a variation in an input — it is a different valuation altogether, which is why it belongs in scenario testing rather than in a sensitivity range.

Market Approach key value drivers

  • Valuation multiples — small variations can produce substantial changes in value, particularly for larger businesses.
  • Comparable company selection — the quality and relevance of the comparables directly affects the reliability of the benchmarks.
  • Comparable transaction selection — transaction evidence can significantly influence conclusions, particularly where transaction multiples differ materially from trading multiples.
  • Control premiums and marketability discounts — these can materially affect equity value and should be tested where significant.

Note that two of the four are not numerical inputs at all. Comparable selection is a judgement about set membership, and testing it means re-running the analysis on a different set — which is also the most direct answer to a challenge alleging the set was assembled to reach a number.

Cost (Asset) Approach and liquidation value

DriverEffect
Asset realisation valuesThe assumed recoverable value of major asset classes directly determines liquidation outcomes
Asset-specific haircutsSmall changes in haircut percentages applied to significant categories can materially affect total realisation
Sale horizon assumptionsExtended realisation periods may affect both achievable sale prices and the economic value of recoveries
Costs to sellAuction costs, brokerage fees, dismantling expenses and other disposal costs can materially reduce net recoverable value
Recoverability assumptionsReceivables, inventories, investments and disputed assets may significantly influence overall value

Where the liquidation key value drivers interact

The sale horizon appears in this list twice over, because it affects achievable prices and, separately, the economic value of recoveries — proceeds received later are worth less. It also drives holding costs, which sit in the costs to sell line. A sensitivity that varies the horizon without carrying those consequences through is testing only part of the effect.

Start here

The identification of key value drivers should be the starting point of any sensitivity framework, because these are the assumptions most likely to affect the valuation conclusion and therefore requiring the greatest level of analysis, testing and disclosure.

The same logic governs assumption disclosure — depth of justification proportionate to materiality — so the drivers identified here are also the assumptions that warrant the fullest disclose-and-justify treatment.

Common mistakes

  • Testing every model input instead of the key value drivers, and reporting the ones that moved least.
  • Varying WACC and terminal growth separately but never together.
  • Treating comparable selection as fixed rather than as a testable judgement.
  • Sensitising asset haircuts without carrying the effect through to costs to sell.
Quick recapKey facts & short answers

Key Facts About Key Value Drivers

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Should every input be tested?

No. Effective sensitivity analysis focuses on assumptions that materially influence value rather than testing every input used in the valuation.

What are the Income Approach value drivers?

The discount rate (WACC), the revenue growth rate, EBITDA or operating margins, the terminal growth rate, and going-concern assumptions.

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Questions, answered

Short, direct answers to the 6 questions readers ask most on this topic.

No. Effective sensitivity analysis focuses on assumptions that materially influence value rather than testing every input used in the valuation.

The discount rate (WACC), the revenue growth rate, EBITDA or operating margins, the terminal growth rate, and going-concern assumptions.

It is often the most sensitive input in a DCF valuation; even a small change can have a significant impact on enterprise value.

Valuation multiples, comparable company selection, comparable transaction selection, and control premiums and marketability discounts.

Asset realisation values, asset-specific haircuts, sale horizon assumptions, costs to sell, and recoverability assumptions for receivables, inventories, investments and disputed assets.

It should be the starting point of any sensitivity framework, since these assumptions are most likely to affect the conclusion and therefore require the greatest analysis, testing and disclosure.