Rob Ziemba, vice president of marketing at Decisiv, shares VMRS benchmarking numbers with trucking reporters at TMC.
Credit:
Deborah Lockridge
5 min to read
Parts and labor costs eased slightly at the end of 2025, but the bigger story may be how trucking fleets are using data and digital tools to improve efficiency and mitigate costs that have risen by more than 27% over the past six years.
Combined parts and labor expenses fell 1.3% in the fourth quarter of 2025, according to the latest Decisiv/TMC Parts & Labor Service Benchmark Report, after a steep 3.8% increase in the previous quarter.
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Key Takeaways from Decisiv's Q4 2025 Benchmarking Report
Combined parts and labor costs fell by 1.3% in Q4 2025 after increasing 3.8% the previous quarter.
Parts costs dropped by 0.4% and labor costs by 2.6%.
Compared year over year, overall costs rose 2%, continuing an upward trend. There was a 3.7% increase in parts costs from a year earlier, but labor costs fell 0.4%.
Labor costs were the main driver of that, falling 2.6% from the previous quarter, compared to a 0.4% drop in parts costs.
But when the numbers are viewed over a longer period, the trend still points upward. Since early 2020, combined parts and labor costs have climbed 27.4%, driven first by post-pandemic inflation and technician shortages and more recently by rising parts prices.
“Fleets are facing increased cost pressures on parts and labor for their service costs,” said Tim Hardin, president and CEO of Decisiv, speaking to reporters at the American Trucking Associations’ Technology & Maintenance Council meeting in Nashville. “But they’re actually doing a great job moderating those cost increases.”
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Data and Efficiency
The data behind the benchmark report comes from Decisiv’s Service Relationship Management platform, which tracks maintenance and repair activity across millions of service events and categorizes it using TMC’s Vehicle Maintenance Reporting Standards (VMRS) coding system.
Those standardized codes allow fleets to analyze repair trends and costs across vehicle systems and compare their maintenance performance with industry benchmarks.
VMRS codes have been in use for decades. But consistently applying those codes can be a challenge inside busy maintenance shops.
“Ideally, when technicians are putting in the service information, they would also enter the VMRS coding,” said Rob Ziemba, vice president of marketing at Decisiv. “But we’ve learned that doesn’t happen very often. In fact, 80% to 95% of the time, that coding isn’t entered.”
Decisiv used VMRS data to compare maintenance costs from 2020 through 2025.
Credit:
Decisiv data. Graph created using AI.
To address that gap, Decisiv uses machine learning to analyze service records text and automatically assign the appropriate VMRS system codes.
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Ziemba added that fleets have increasingly moved toward digital maintenance processes in recent years.
"A lot of organizations that had been initially reluctant to do it are now adopting more of a digital process."
With the explosive growth of artificial intelligence, it has become even more important.
“It’s kind of the new table stakes,” he said. You have to digitize your processes before you can use AI and other technologies to improve them.
A Closer Look at the Parts and Labor Numbers
Decisiv executives cautioned that the quarterly shift should be viewed in context. Some of the systems where costs declined represent smaller portions of overall maintenance spending, meaning the drop does not necessarily signal a broad change in the economics of truck maintenance.
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“We did have the overall reduction of 1.3%,” said Ziemba. “But a lot of that cost reduction was in some of the smaller system codes.”
Looking at the numbers on a year-over-year basis reinforces that point. Compared with the fourth quarter of 2024, combined parts and labor costs increased 2%, continuing a broader upward trend that has defined the past several years.
Much of that increase came from higher parts prices. Parts costs rose 3.7% year over year, while labor costs edged slightly lower, falling 0.4% over the same period.
The biggest increases year over year came from:
VMRS 022, Axle Driven - Rear: 20.6% overall, 31% in parts, 9.1% in labor
VMRS 018 Wheels, Rim, Hubs, and Bearings: 15.5% overall, 22.8% in parts, 10.6% in labor
One of the interesting shifts in recent maintenance data is what’s driving those increases. Over the six-year period analyzed by Decisiv, labor costs played a major role in driving maintenance expenses higher, thanks to the persistent shortage of skilled technicians.
The largest increase from 2020 to 2025 was in 002 - Cab and Sheet Metal. Parts and labor combined rose 63.8%. Parts rose by 68% and labor by 58%
More recently, however, parts costs have become the bigger source of inflation.
Some of that increase may be tied to the broader supply chain environment.
While Decisiv’s data does not directly measure tariff impacts, executives said raw material costs and supply chain uncertainty likely contribute to higher parts prices.
“What we were seeing was some of the material tariffs — steel tariffs, aluminum tariffs — impacting the raw materials,” Ziemba said. “That’s around the time we started to see parts costs going up.”
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Hardin added that uncertainty in the supply chain can influence pricing even before actual shortages occur.
“Typically, what I’ve seen is it gets priced into the supply chain regardless of whether there’s a physical impact or not,” he said. “That uncertainty in the marketplace tends to drive pricing up and down.”
Efficiency Gains Helping Fleets Manage Costs
Despite rising costs, fleets appear to be managing maintenance spending better than some broader transportation expenses.
Decisiv compared its service cost data to federal producer price index (PPI) measures and found maintenance costs rising faster than general inflation but more slowly than overall transportation costs.
In other words, fleets are still dealing with higher repair bills — but not as fast as some other operating costs.
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“That tells us fleets are doing a great job managing and moderating their service costs,” Ziemba said.
One reason may be improved operational efficiency in maintenance shops.
Hardin pointed to increasing use of data and analytics to manage inventory, optimize technician productivity, and streamline repair processes.
“The organizations that are going to win are the ones using data to really understand how to manage their inventory, manage their pricing, optimize labor, and drive technician efficiency,” he said.
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