Finance

Sensitivity Analysis

Sensitivity analysis shows how outputs change when key inputs vary within a reasonable range. In valuation, it's used to test how fragile a DCF is to discount rate and terminal assumptions.

Updated 2026-01-23

Definition

Sensitivity analysis shows how outputs change when key inputs vary within a reasonable range. In valuation, it's used to test how fragile a DCF is to discount rate and terminal assumptions.

How to use it

  • Use sensitivity grids to avoid false precision from single-point estimates.
  • Pick ranges that reflect uncertainty (not just tiny deltas).

Common mistakes

  • Picking ranges that are too narrow and concluding the result is certain.
  • Changing many inputs at once without tracking what drove the change.

Measured as

Measure Sensitivity Analysis with the same date, unit basis, and accounting or policy definitions used in the rest of your model.

Misused when

  • Picking ranges that are too narrow and concluding the result is certain.
  • Changing many inputs at once without tracking what drove the change.

Operator takeaway

  • Use sensitivity grids to avoid false precision from single-point estimates.
  • Pick ranges that reflect uncertainty (not just tiny deltas).
  • Tie Sensitivity Analysis to the same balance-sheet date, scenario, and decision memo you are using elsewhere in the model.
  • Document which claims, costs, or adjustments your team includes before comparing numbers across forecasts, covenants, or valuation work.

Next decision

  • Quantify the impact with DCF Sensitivity Calculator if you need to turn the definition into an operating assumption.
  • Read DCF sensitivity analysis: how WACC and terminal growth move valuation if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.

Where to use this on MetricKit

Calculators

Guides