Equipment Reports

Overview

Understand how your rental fleet is performing. Access from Dashboard > Reports > Equipment.

This page documents how every metric is calculated. For shared rules across reports, see How report calculations work.

What this report counts

Bookings counted: Confirmed and Pending. Draft and Canceled rentals are excluded from every revenue and utilization figure.
Revenue formula: each equipment item's revenue uses the line-item slice — AdditionalPrice × Quantity for each rental line of that item — not the full booking total. So an item that was rented as part of a larger booking contributes only the equipment portion of that booking.
Date axis: bookings filtered and grouped by creation date (CreatedAt).

Performance Summary

The main performance table provides a per-item overview:

Metric	What it is	How it's calculated
Equipment Name	The name of the item	—
Total Rentals	Total rental units in the period	Sum of `Quantity` across all rental lines for this item, all statuses
Revenue	Revenue earned from this item	Sum of `AdditionalPrice × Quantity` across Confirmed and Pending rental lines
Utilization Rate	Approximate inventory usage	See caveat below
Total Quantity	Units available in inventory	The Equipment record's quantity setting

Displayed as a horizontal bar chart ranking your top 10 equipment items by revenue.

The Utilization Rate denominator is total_quantity × 30 days — a simplified assumption that treats each unit as available every day of a month. It does not account for actual booking durations, multi-day rentals, blackouts, or schedule windows.

Treat utilization as a directional indicator when comparing items against each other within the same period. The number is not a precise capacity-fill percentage.

Equipment Revenue Over Time

Track how each equipment item's revenue changes period over period:

Revenue per item broken down by day, week, or month (controlled by the Group by filter).
Each data point sums AdditionalPrice × Quantity across recognized rental lines created in that period.
Compare revenue trajectories across multiple items.

Utilization Analysis

A detailed breakdown of inventory usage:

Data Point	What it is
Equipment Name	The item being measured
Rented Units	Sum of quantity across recognized rental lines in the period
Available Units	The item's inventory quantity
Utilization Rate	Rented Units ÷ (Available Units × total days observed) × 100

The "total days observed" is the span between the earliest and latest booking creation date for this item in the period (or 30 days if there are none).

Popularity Scoring

Each equipment item receives a popularity ranking based on rental frequency:

Data Point	What it is
Equipment Name	The item
Rental Count	Total quantity rented across recognized lines in the period
Popularity Score	Each item's rental count relative to other items

The popularity score lets you compare demand across your fleet without needing to normalize for price differences.

Date axis

Every booking-based metric on this report filters by Booking.CreatedAt and groups by CreatedAt. There is no service-date axis.

Filters

The Equipment Report supports the full set of common filters:

Date range — filters bookings by CreatedAt.
Equipment — narrow to specific equipment items.
Activities — filter to equipment rentals associated with specific activities.
Sources — filter by booking source.
Statuses — override the default recognition rule.
Group by — day, week, or month for the period charts.

Fleet Insights

Use the equipment report data to make fleet management decisions:

High utilization, high revenue — star performers. Consider expanding inventory to capture unmet demand.
High utilization, low revenue — pricing may be too low. Test a price increase.
Low utilization, high revenue — niche items that generate good revenue per rental. Maintain but do not over-invest.
Low utilization, low revenue — candidates for retirement, deep discount promotions, or bundling with popular activities.
Popularity trends — use period-over-period revenue data to catch items gaining or losing traction before utilization metrics fully reflect the change.