Industry benchmarks · crew productivity

Landscaping Crew Productivity Calculator

Measure revenue per crew, properties per week, and route efficiency for your landscaping company.

Crew productivity defines landscaping scalability. Revenue per crew and properties per route are the core operating KPIs. This calculator benchmarks your field production against industry norms.

  • Revenue Per Crew = Annual Revenue ÷ Field Crews
  • Healthy crews target $200K – $350K annual revenue
  • Route density and properties per day drive crew efficiency

Built for landscaping owners, operations managers, and buyers evaluating crew capacity and growth plans.

Source: BizMetricsHQ 280+ landscaping companies (2025–2026). Methodology

Crew Inputs

Measure route throughput and revenue per crew.

Revenue Per Crew

$275,000/yr

Typical vs benchmark · $0 vs median

Revenue Per Visit

$153

Visits Per Crew / Year

1,800

Crew Utilization

78%

Potential Revenue Gain

$30,800

At 85% target utilization

Industry Benchmark

$200K – $350K

Median $275,000 per crew

Crew Productivity Benchmarks

MetricIndustry Range
Revenue Per Crew$200K – $350K/yr
Properties Per Crew / Week35 – 60
Crew Utilization70 – 90%
Revenue Per Property / Visit$100 – $180

Frequently Asked Questions

What is a good revenue per crew for a landscaping company?

Most productive landscaping crews generate $200K–$350K annual revenue, with a median near $275K. Commercial-heavy operators with larger property tickets can exceed $350K per crew.

How many properties should a landscaping crew service per week?

Maintenance crews typically service 35–60 properties per week depending on property size, drive time, and service scope. Higher route density improves margins significantly.

How is crew utilization measured in landscaping?

Crew utilization reflects the percentage of available working hours crews spend on billable properties. Weather delays, equipment issues, and scheduling gaps reduce utilization. Healthy operators target 70–90%.

What drives higher crew productivity?

Route density, geographic clustering, standardized service packages, commercial contract pricing, and minimizing non-billable drive time between properties.