Catering Business Calculator

Catering business profit depends on event count, guests per event, pricing, food cost per guest, and labour per event. Industry benchmarks: food cost 25-35% of revenue, labour 25-35%, fixed costs 5-15%, leaving 20-35% net margin for well-run operations. Wedding and corporate catering at the higher end; high-volume staff catering at the lower end.

8 events/month × 100 guests × 75 per guest = 60,000 revenue. Food cost at 20/guest = 16,000 (27%). Labour 1,500/event = 12,000 (20%). Fixed 5,000 (8%). Profit 27,000 (45% margin). Excellent for high-ticket catering but assumes consistent booking; real businesses see seasonality with summer wedding rush and winter corporate party spike.

Catering businesses fail on two common problems. First, underpricing to win events - margins vanish and the business runs busy but broke. Second, labour underestimation - one chef costs 200 for the event; two sous chefs at 150 each = 500. Plus servers, transport, setup, cleanup - total labour routinely hits 1,500-3,000 per event vs the 1,000 originally estimated.

Quick example

With events per month of 8 and avg guests per event of 100 (plus price per guest of 75 and food cost per guest of 20), the result is 27,000.00. Change any figure and watch the output shift — it's often more useful to see the pattern than to memorise the formula.

Which inputs matter most

You enter Events per Month, Avg Guests per Event, Price per Guest, Food Cost per Guest, and Labour Cost per Event. Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.

What's happening under the hood

Revenue = events × guests × price. Food = events × guests × food cost. Labour = events × labour/event. Profit = revenue - food - labour - fixed. The formula is listed in full below. If the number looks off, you can retrace the calculation by hand — that's the point of showing the working.

What to do with a low result

A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.