Example

Scenario Analysis Example

A 55-person logistics technology company in Reading with £4.5M revenue. The CFO is preparing for a board meeting and needs to present three scenarios: base case (the plan), upside case (if two large contracts close), and downside case (if the market softens). The scenarios share the same cost structure but vary revenue and growth assumptions.

Example data

Financial model

P&L Line
Downside
Base Case
Upside
Revenue
£3,800k
£4,500k
£5,400k
Gross Profit
£2,280k
£2,700k
£3,240k
Total OpEx
(£2,100k)
(£2,250k)
(£2,400k)
EBITDA
£180k
£450k
£840k
EBITDA Margin
4.7%
10.0%
15.6%
Cash at Year End
£620k
£980k
£1,420k
EBITDA

The range from £180k (downside) to £840k (upside) shows the business has significant operating leverage. Small changes in revenue have an outsized impact on profitability.

EBITDA Margin

Margin swings from 4.7% to 15.6% across scenarios because the cost base is largely fixed. This is typical for tech-enabled businesses with high gross margins.

Cash at Year End

Even in the downside, year-end cash of £620k gives 4+ months of runway. The board can be confident the business survives all three scenarios without additional funding.

Formulas

Key formulas

fxDownside Revenue = Base Revenue * (1 - 15.6%)

The downside scenario assumes 15.6% lower revenue than the base case, modelling the impact of slower market adoption and one lost key customer.

fxUpside Revenue = Base Revenue * (1 + 20%)

The upside scenario assumes 20% higher revenue if two large enterprise contracts close in Q2. These are in advanced pipeline stages with 60% probability.

fxOpEx scales at 50% of revenue delta

Costs are semi-variable. In the upside, additional revenue requires some extra resource (fulfilment, support) but not proportionally. OpEx increases by only £150k for £900k additional revenue.

Analysis

What makes this example good

Three scenarios give a clear range of outcomes for decision-making
Assumptions are explicit and testable, not hidden in the model
Semi-variable cost modelling reflects real-world operating leverage
Cash impact shown alongside P&L to address runway concerns
Probability-weighted scenarios can be used for expected value calculations

Customisation

How to adapt for your business

1

Add a "stress test" fourth scenario for extreme downside planning

2

Include a sensitivity table showing which assumption has the biggest impact

3

Weight the scenarios by probability to calculate an expected value

4

Add quarterly phasing within each scenario for more granular cash planning

5

Include trigger points that define when to shift from one scenario to another

Common variations

  • --Five scenarios (severe downside, downside, base, upside, severe upside)
  • --Revenue-focused scenarios with fixed cost base
  • --Scenario analysis by geography or product line
  • --Monte Carlo simulation with probability distributions instead of point estimates

FAQ

Frequently asked questions

Three is the standard: base case (most likely), upside (things go well), and downside (things go poorly). Some companies add a fourth "stress test" scenario for extreme but plausible downside events. More than four scenarios tends to create confusion rather than clarity.

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