Setting a defensible honey price means separating three questions: what does a jar actually cost you, what price a customer will pay for it, and how many jars you need to sell each month to clear your fixed costs and turn a real profit. This simulation turns those numbers into a 3D scene: a stacked cost bar (variable cost plus overhead allocated per jar), a price bar, and a profit bar, sitting alongside a grid of jars representing a month's production run.
Each jar in the grid is coloured by what it is paying for: red jars sit below your variable cost (a loss on every unit), amber jars are sold above cost but are still needed to clear the month's fixed overhead, and green jars are pure profit once break-even has been reached.
Many small honey sellers price only on ingredients and packaging, forgetting to allocate any of their fixed overhead per jar — which quietly turns a "profitable" batch into a loss once equipment, insurance and time are properly accounted for.
An interactive 3D profitability lab turns cost-plus, value-based and competitive pricing into a live bar chart and a break-even jar grid, so you can see exactly how price and volume decisions turn into monthly profit.
Cost per jar is built from a variable component (honey, jar, lid, label) plus fixed overhead spread across the month's batch; profit per jar is what's left once both are covered, and break-even is the batch size at which fixed costs are finally cleared.
Set your price, variable cost, monthly overhead and batch size, then compare against a cost-plus, value-based or competitive pricing target. Watch the cost/price/profit bars and the colour-coded jar grid update live.
A batch can look profitable jar-by-jar and still lose money overall if it never reaches its break-even volume — the point where cumulative margin finally covers that month's fixed overhead.