What it means
The point of a best case is not to cheer anyone up. It is to quantify the upside so that a business can plan for it, because rapid growth consumes cash, strains hiring and can break a supply chain just as effectively as a downturn can.
A credible best case changes assumptions, not conclusions. The analyst adjusts specific drivers such as conversion rates, average order value, win rates or input prices, and lets the model produce the resulting profit rather than reverse-engineering a flattering answer.
The discipline that separates good practice from wishful thinking is plausibility. A best case should reflect something that could genuinely happen, typically an outcome with a meaningful probability rather than a one-in-a-hundred result, and every changed assumption should be documented.
Best cases are usually paired with probabilities to produce an expected value. Assigning weights across the three scenarios gives a single number for planning while preserving the range for discussion, which is far more useful to a board than a lone point forecast.
The most common failure is optimism on revenue with no matching change on costs. If sales rise 20%, variable costs, working capital and often headcount rise too, and a best case that ignores this overstates cash generation badly.
In practice
Real-world examples.
Example
A hardware start-up models a best case in which a retail partnership doubles unit sales. The model shows the company would run out of cash buying inventory before the extra revenue arrives, so the founders arrange a facility in advance.
Example
A property developer prepares three scenarios for a lender. The best case assumes units sell three months faster than planned, which cuts interest costs and lifts the return, but the lender bases its decision on the base and worst cases.
Example
A sales director presents a best case built on a 35% win rate rather than the historic 22%. The finance team asks what would have to change operationally to justify that rate, and the number is revised down to 27% with a named set of actions behind it.
Think of it
“Best case is what happens if things go really well-your optimistic but realistic outcome.
Formula
Calculation
Formula: Best case profit = (Base revenue x (1 + Upside %)) - Fixed costs - (Variable cost % x Best case revenue). Expected value = Sum of (Scenario probability x Scenario profit).
A subscription business has base case revenue of $4,000,000, fixed costs of $1,500,000 and variable costs running at 45% of revenue. Base case profit is $4,000,000 - $1,500,000 - (45% x $4,000,000 = $1,800,000) = $700,000.
The best case assumes revenue 20% higher, so $4,000,000 x 1.20 = $4,800,000. Variable costs become 45% x $4,800,000 = $2,160,000, giving best case profit of $4,800,000 - $1,500,000 - $2,160,000 = $1,140,000, an improvement of $440,000. A worst case at 15% below base gives revenue of $3,400,000, variable costs of $1,530,000 and profit of $370,000. Weighting the three at 25%, 55% and 20% gives an expected profit of (25% x $1,140,000 = $285,000) + (55% x $700,000 = $385,000) + (20% x $370,000 = $74,000) = $744,000.Case study
Seen in the real world.
Brightpath Learning is an invented education technology company used for this illustrative case. Its base case for the year showed revenue of $4,000,000, fixed costs of $1,500,000 and variable costs at 45% of revenue, producing a profit of $700,000.
The finance lead built a best case in which a new schools contract lifted revenue 20% to $4,800,000. Variable costs rose to $2,160,000 and profit reached $1,140,000, but the model also showed that servicing the extra customers required eleven additional staff hired six months before the revenue landed.
Weighting the best, base and worst cases at 25%, 55% and 20% gave an expected profit of $744,000, close enough to the base case that the board approved conditional hiring rather than immediate recruitment. The illustrative point is that the best case earned its value by exposing a cash timing problem, not by predicting the future.
Watch out
Common mistakes.
- Building a best case by simply raising the profit figure. Scenarios should change underlying drivers such as volume, price or cost rates, with profit falling out of the model.
- Lifting revenue without lifting costs. Growth normally increases variable costs, working capital and headcount, and ignoring that overstates the cash position.
- Presenting the best case as the plan. Targets and bonuses built on an optimistic scenario set the whole organisation up to miss.
Questions
People also ask.
How optimistic should a best case be?
Plausible rather than extreme; a useful rule is an outcome you would expect roughly one year in four, not a once-in-a-generation result.
Is a best case the same as a stretch target?
No, a scenario is an analytical projection of what could happen, while a stretch target is a management objective used to motivate performance.
How many scenarios should we run?
Three is the practical standard for board reporting, though sensitivity analysis on individual variables is a useful companion when one driver dominates the outcome.
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