Fleet Intelligence Brief

How to Investigate Maintenance Costs Across a Fleet

Maintenance cost rises with age and miles, but it also rises with deferred work, driver habits and parts pricing. The challenge is telling normal wear from a problem.

1. The business problem

Is our maintenance bill rising because the fleet is aging, or because something is wrong?

Maintenance is a cost that can be pushed out in the short term and returns with interest. Skipping preventive work saves money this quarter and costs more breakdowns next quarter.

Looking at maintenance per mile, by vehicle age and by type of repair, separates normal aging from avoidable cost.

2. What the evidence can reveal

A maintenance investigation uses several cuts:

  • Calculated Maintenance cost per mile, over time and by vehicle age.
  • Calculated The split between preventive and unplanned work.
  • Calculated Repeat repairs on the same vehicle or component.
  • Information gap Parts and labor pricing, warranty recovery, and driver or route effects on wear.

A rising share of unplanned work is a warning that preventive maintenance is not keeping up.

3. Investigate the problem

In the synthetic carrier, Calculated maintenance cost rose 14.7%, from $1.50M to $1.72M, against loaded-mile growth of 6.5%. Per loaded mile, maintenance rose about 8%.

Calculated Maintenance was 14% of the total cost increase, a smaller share than fuel at 43%. It is a smaller cost line overall, but its growth rate was nearly as high as fuel’s.

Hypothesis Growth faster than miles is consistent with an aging fleet, deferred preventive work, or higher parts and labor prices. Information gap The demo has no vehicle age, work-order or parts data, so it cannot tell which. A breakdown by vehicle age and by planned versus unplanned work is the first cut to make. The cost of an unplanned breakdown, including lost loads and tow charges, is usually much larger than the repair itself.

4. Explore the interactive experience

Investigate it yourself.

Fleet Economics Dashboard: a lane-level dashboard with empty-mile share, a scenario simulator for rate, fuel, miles and empty miles, evidence-linked answers from APIS, and a sample brief, all on synthetic data.

The experience below is built on a synthetic carrier, “Demo Freight Co.,” analyzed by lane. It has no vehicle-level or driver-level records, so lanes are used to show the method. Nothing in it is real.

  1. In the cost table, select Maintenance and compare its growth with miles.
  2. Compare maintenance growth with fuel growth. Which is more out of line with miles?
  3. Ask APIS what additional information would explain the maintenance increase.

5. Evaluate possible solutions

What helps depends on whether the problem is age, practice or price.

Strengthen preventive maintenance

When it may fit: Unplanned work is a large share.

Evidence needed: Work orders and breakdown history.

Trade-off: Preventive work costs money up front.

Replace the oldest equipment

When it may fit: Repair cost per mile rises sharply with age.

Evidence needed: Cost per mile by vehicle age.

Trade-off: Capital cost and financing.

Renegotiate parts and labor pricing

When it may fit: Pricing rose or varies across shops.

Evidence needed: Invoices by vendor.

Trade-off: Cheaper may mean lower quality.

Coach drivers on wear

When it may fit: Wear patterns vary by driver or route.

Evidence needed: Wear and incident data by driver.

Trade-off: Coaching takes management time.

6. What leadership should do next

Questions to answer

  • What is maintenance cost per mile, and how is it trending?
  • What share is unplanned?
  • Which vehicles or components repeat?
  • Does age explain the increase?

Data to gather

  • Work orders by vehicle
  • Parts and labor invoices
  • Vehicle age and miles
  • Breakdown and tow records

Steps to take

  1. Calculate cost per mile by vehicle.
  2. Identify the worst vehicles.
  3. Review preventive schedules.
  4. Track the unplanned share monthly.

7. Engage Two Pillars

Understand the Economics of Your Fleet

Two Pillars can help carriers, fleet operators, brokers and logistics businesses investigate lane, vehicle, customer, cost and expansion economics using your own data. A good first step is a maintenance cost review that separates age, practice and price effects.

Sources and data notes

  • The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
  • Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.