Equipment Costs

Model Spotlight: Genie Z-30/20N

This Model Spotlight focuses on the Genie Z-30/20N and breaks down the numbers across the four main features available on the EquipmentWatch website: Costs, Rental, Specs, and Values. Each of these features provides a detailed glimpse into the different facets of heavy equipment data.
Equipment Costs

Industry Analyst

This Model Spotlight focuses on the Genie Z-30/20N and breaks down the numbers across the four main EquipmentWatch features: Costs, Rental, Specs, and Values. Each of these features provides a detailed glimpse into the different facets of heavy equipment data.


Each month, EquipmentWatch publishes an article the Top Four Models, which takes one model from each of the four channels (Construction, Lift, Agriculture, & Commercial Trucks) and analyzes their month over month price, age, and volume trends. This Model Spotlight article focuses on one of those four models and breaks down the numbers across the four main features available on the EquipmentWatch website: Costs, Rental, Specs, and Values. Each of these features provides a detailed glimpse into the different facets of heavy equipment data. Whether owning, renting, buying, selling, maintaining, or financing heavy equipment, these articles shed light on the used heavy equipment market. This month it focuses on the subtype of Tractor-Loader-Backhoes, which use their dig depth to determine the size class.

Retail Rental

The Retail Rental graph pictured here displays the average national rental rate, by quarter, over the past two years for the size class in which the Genie Z-30/20N is (21 – 30 ft). As you can see on the graph, the area between the two dotted lines is the most representative of the average national rental rate for this size class. As of Q4 of 2016, the average weekly rental rate is $807. We saw a large variance from Q4 of 2015 through Q1 of 2016, but overall it has remained very close or within the dotted lines. If you are on the EquipmentWatch website, you can use the Location adjustment to adjust by state or the manual adjustment to adjust to a certain percentage of the national average.

Equipment Values & Market Data

The Values & Market Data graph displays the Fair Market Value (FMV) and the Forced Liquidation Value (FLV) for electric self-Propelled articulating aerial lifts in the size class of 21 – 30 ft that are in “Good” condition on the national level. FMV is the value resale markets and FLV is the value in auction markets. As you can see on the graph, the FMV and FLV have remained basically even over the past six months. The current FMV of this 2016 electric self-Propelled articulating aerial lift is $31,264 and the FLV is $20,322. If you are an EquipmentWatch subscriber, you can adjust the value by changing the condition, location, meter reads, and year.

Ownership & Operating Costs

This cost table displays all of the relative data that can be used to determine the costs of owning and operating the piece of equipment. The average annual use hours for an electric self-propelled articulating aerial lift in the size class of 21 – 30 ft is 1,650. The ownership costs include depreciation, cost of facilities capital (CFC), overhead, overhaul labor, and overhaul parts. The operating costs include field labor, field parts, ground engaging components cost (GEC), tire costs, electrical/fuel, and lube. This adds up to equal $19,850 per year in ownership and operating costs for this type of electric self-propelled articulating aerial lift.

GENIE Z-30/20N
Annual Use Hours 1,650
   
OWNERSHIP COST
Depreciation $7,392
CFC $594
Overhead $1,469
Overhaul Labor $2,327
Overhaul Parts $2,261
Total Annual Ownership Costs $14,042
   
OPERATING COST
Field Labor $3,284
Field Parts $1,337
GEC $0
Tire Costs $660
Electrical/Fuel $528
Lube $0
Total Annual Operating Costs $5,808
   
Total Annual Ownership & Operating Costs $19,850
Interested in learning more about our products?  Visit EquipmentWatch.com.

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Consuming a massive amount of market data, over 500k per month, the ValueTrend EngineSM uses a proprietary blend of automated equations to create a model value that adjusts for each market data point entered for that respective model. In other words, our values now are connected to the ebb and flow of market dynamics more than ever in a near-live environment.
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