Valuation Methodology

Hour Meters vs. Year: What Matters More

Ask a seasoned heavy equipment dealer how they value a used excavator, and most will tell you the same thing: "I look at the hours first." Ask the software most dealers use to generate valuations, and it weights the year first.

This disconnect costs dealers money. We built IronValue to fix it. Here's the data behind our hour-first approach.

The Data Says Hours Win

We analyzed our database of 10,000+ completed auction sales across Ritchie Bros, IronPlanet, and Purple Wave. We ran a statistical analysis comparing the correlation between sale price and two variables: model year and hour meter reading.

The findings were consistent across every equipment category we examined:

• Hour meter reading explained approximately 58% of sale price variance
• Model year explained approximately 34% of sale price variance
• When both were included in a regression model, hours consistently had a larger coefficient than year

In plain terms: for two otherwise identical machines, the one with more hours will almost always sell for less - and that difference is larger than the difference you'd expect from model year alone.

A Real Example: CAT 320 Excavator

Consider two CAT 320 excavators that sold at auction in early 2026:

This isn't unusual. It's common. A 2018 machine with 2,000 hours has most of its useful life ahead of it. A 2021 machine with 8,200 hours has already done a significant portion of the work it was designed to do.

Why Year-Based Depreciation Falls Short

Most consumer vehicle valuation tools (and many equipment tools) use age-based depreciation curves as a starting point. This makes sense for passenger cars, where annual mileage is relatively consistent and a 5-year-old car has predictable wear.

Heavy equipment is different:

• Utilization varies enormously. A rental company machine might log 1,500 hours/year. A municipally-owned machine might log 400 hours/year.
• Equipment used for light-duty work accumulates hours differently than equipment doing heavy excavation or pushing rock.
• Storage and seasonal use patterns mean two machines of the same year can have dramatically different wear.

When you look at a 2019 CAT 320 with 7,500 hours, you need to compare it to other 2019 machines with similar hours - not to an average of all 2019 machines, many of which may have 3,000-4,000 hours.

How IronValue Handles This

IronValue weights hour meter proximity at 40% of our similarity scoring algorithm. That's the highest weight of any single factor. Year match gets 15%.

When you enter a machine with 7,500 hours, we specifically look for comps with hours in that range. A comp at 7,200 hours scores much higher for similarity than a comp at 3,000 hours from the same year. The valuation reflects what buyers at auction actually paid for machines in similar condition and with similar utilization.

We also apply an hour-based depreciation adjustment when necessary. If the comps we found average 4,500 hours but your machine has 7,500 hours, we apply a model-specific depreciation curve to adjust for those additional 3,000 hours.

What This Means for Dealers

If you're pricing trade-ins or setting retail prices using year-based depreciation curves, you may be systematically mispricing equipment:

• Overvaluing late-model, high-hour machines (looks newer, but heavily used)
• Undervaluing older, low-hour machines (looks old, but lightly used)

A tool that properly weights hours will give you better accuracy on both ends - and prevent you from overpaying on trade-ins for machines that look good on paper but have years of wear.