Free janitorial bidding calculator
Model monthly labor-hours, loaded labor cost, operating expenses, overhead, target margin, and per-visit pricing. Every assumption remains editable and your figures stay on this device.
Live estimate
At an illustrative production rate of 2,500 sq ft per labor-hour, one visit needs 4 labor-hours. Three visits weekly across 52 weeks is 13 visits per average month, or 52 labor-hours. Two cleaners would spend about two hours on each visit.
At a loaded labor rate of $25/hour, labor costs $1,300. Add $20 per visit for supplies and travel ($260/month) and $100 in equipment costs. Direct cost is $1,660; 10% overhead adds $166, making total cost $1,826.
For a 20% target margin: $1,826 ÷ 0.80 = $2,282.50 per average month, or about $175.58 per visit. These are example inputs, not market rates. Replace them with your site survey, local costs and agreed scope.
Record cleanable area, room types, tasks, service frequency and exclusions. Restrooms, kitchens and periodic floor work may need separate labor allowances. A square-foot rate alone does not capture these differences.
Crew size divides elapsed time, not labor-hours. Four labor-hours could mean one person for four hours or two people for two hours. Change the production assumption only when your measured workflow supports it.
This calculator averages weekly service across working weeks divided by 12. For an invoice tied to actual visits, use the agreed calendar and per-visit scope. Holidays and closures can change the visit count.
Cleanable area divided by your production rate gives labor-hours per service. Service frequency converts that workload into a monthly operating requirement. Crew size changes elapsed time on site, not the total labor-hours you pay for.
The estimator adds labor and operating costs before overhead. Target price is then calculated as cost divided by one minus target gross margin. A 25% margin is a 33.3% markup; they are not interchangeable.
After a comparable job, enter actual labor-hours. The tool shows estimation error and suggests a revised production rate. Use the suggestion as evidence to review—not an automatic change.
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