Maintenance KPIs: The Most Important Metrics to Track in 2025

Are your technicians meeting performance goals? Are your assets running as efficiently as they could be? 

Maintenance KPIs give you the hard data to answer those questions, helping you see successes more clearly and evaluate where there’s room for improvement across the organization.

In this guide, we'll break down the essential maintenance KPIs your team needs to track in 2025 and how to use them for better decision-making.

Key Takeaways

• Focus on three to five critical KPIs (like OEE, MTBF, and PMP) to avoid data overload .
• Use maintenance KPIs to translate performance into impact. The right data can help you drive investments in new strategies or tools, and prove the value of your maintenance team to executive leadership.
• Use a modern, mobile-first CMMS or EAM to improve your team’s ability to collect and share data. This ensures your KPIs are based on accurate, real-time information directly from your technicians.

What is a maintenance KPI?

Maintenance performance indicators measure how well maintenance activities support an organization’s goals. Operations and maintenance managers use these key metrics to analyze and improve processes that enhance asset reliability.

Maintenance KPIs can measure:

• Efficiency
• Asset downtime
• Asset performance
• Inventory management
• Maintenance task management
• Maintenance spending and costs
• Workplace safety and compliance

Put simply, organizations use maintenance KPIs to measure the performance of maintenance technicians, operational systems, and processes.

Maintenance Metrics vs. KPIs

Though maintenance pros often use maintenance metrics and KPIs interchangeably, there are some slight differences in definitions.

Managers use performance metrics to quantify daily maintenance activities, while KPIs refer to the target numbers. 

For example, a manager might track how many preventive maintenance work orders the team completes each day. If the target (KPI) is 10, and the team completes 8, the metric shows they’re slightly below the goal. So:

• Performance metric is the actual result (e.g., “8 PMs completed”)
• KPI is the target number (e.g., “10 machines”)

In other words, metrics show what happened, while KPIs show what should happen.

16 maintenance metrics to benchmark for KPIs

Without the right performance indicators, achieving long-term success is a guessing game.

Many maintenance metrics represent historical data (based on past events, completed work, and recorded failures), while others evaluate current asset conditions. To create an effective, data-driven maintenance strategy, you’ll need to combine multiple metrics. 

The following sections outline 16 essential metrics to help you set meaningful, data-driven KPIs for your maintenance team.

Quick reference: Essential maintenance KPIs

Mean time between failures (MTBF)

What MTBF measures:

MTBF represents the average time a piece of equipment operates before experiencing a failure. It helps determine asset reliability and predict maintenance needs.

How to calculate MTBF:

MTBF = Total operating time / Number of failures

Example:

Consider a packaging line motor in a food processing facility that operates for 1,000 hours during a production month and experiences four unplanned failures. A maintenance manager would calculate the MTBF to assess motor reliability and plan preventive maintenance schedules.

MTBF = 1,000 hours / 4 failures

MTBF = 250 hours

MTBF KPI benchmark:

A higher MTBF indicates better reliability. While benchmarks can vary, many industries aim for an MTBF of 500 to 2,000 hours, depending on the equipment type and use case.

Mean time to failure (MTTF)

What MTTF measures:

MTTF measures the average time an asset operates before failing beyond repair. It's a particularly useful metric for non-repairable equipment or consumable components, like lightbulbs, filters, or belts and chains. 

MTTF differs from MTBF in that MTTF measures the time until total irreparable failure, while MTBF calculates the time between failures that can be fixed.

How to calculate MTTF:

MTTF = Total operating time / Number of failed assets

Example:

Imagine you have a batch of 100 light bulbs in operation for a total of 50,000 hours. Over that time, 25 bulbs fail and need to be replaced. To calculate the MTTF:

MTTF = 50,000 hours / 25 failed components

MTTF = 2,000 hours

MTTF KPI benchmark:

Higher MTTF indicates a longer asset lifespan. Benchmarks vary, but a common target is between 1,000 and 5,000 operating hours, depending on the equipment type and industry standards.

Mean time to repair (MTTR)

What MTTR measures:

MTTR (Mean Time to Repair) measures the average time it takes to repair equipment and return it to operational status after a failure. This critical maintenance performance indicator directly impacts equipment availability and production capacity in manufacturing and industrial facilities.

How to calculate MTTR:

MTTR = Total repair time / Number of repairs

Example:

If your maintenance team spent 20 hours total repairing a conveyor system across five separate failures, the calculation would be:

MTTR = 20 hours / 5 repairs

MTTR = 4 hours

MTTR KPI benchmark:

Lower MTTR indicates faster repair times and better maintenance efficiency. Organizations often target an MTTR of one to five hours, though this varies by equipment complexity and industry. 

A mobile-first work order and asset management platform like MaintainX can help technicians diagnose and fix issues faster. For example, in the first year after implementing MaintainX, Ahlstrom reduced MTTR by 90%. Ahlstrom’s engineering manager said: “Since adoption, our Mean Time to Repair has decreased from 580 to 60 hours a month.”

‍Overall equipment effectiveness (OEE)

What OEE measures:

The overall equipment effectiveness metric evaluates equipment efficiency and productivity by combining three factors: availability, performance, and quality. This maintenance metric gives you a comprehensive view of how well your equipment is running.

How to calculate OEE:

OEE = Availability × Performance × Quality

How to calculate these variables:

• Availability = (Actual operating time / Planned production time)
• Performance = (Actual production rate / Ideal production rate)
• Quality = (Good units produced / Total units produced)

Let's break this down with a real-world example:

Imagine you have a machine that's scheduled to run for an 8-hour shift, or 480 minutes. However, the machine went down for 60 minutes for repairs. This gives us an actual operating time of 420 minutes.

• Availability = 420 / 480 = 0.875 or 87.5%

Let's say the ideal production rate is 100 units per hour, but the actual production rate was 80 units per hour.

• Performance = 80 / 100 = 0.8 or 80%

Only 540 of the 560 units produced during the 7-hour operation met quality standards and 20 were considered defective.

• Quality = 540 / 560 = 0.964 or 96.4%

When we put this all together, we get the following calculation:

OEE = 0.875 (Availability) × 0.8 (Performance) × 0.964 (Quality)
OEE = 0.674 or 67.4%

OEE KPI benchmark:

An OEE score of 85% or higher is considered world class for discrete manufacturers. A 60% and 85% score indicate room for improvement, while below 60% suggests significant inefficiencies such as incorrect setups or slow-running equipment. Manufacturing operations often struggle with efficiency, as many manufacturing lines are only 60% productive.

The operations manager at Redimix highlights the importance of OEE. “If you're in operations, your number one metric, in my opinion, is OEE. We never had tools in place to accurately track it, but we do now with MaintainX.” Plus, with MaintainX, critical data is no longer buried in a series of spreadsheets. “I don't have to dig through a dozen reports. If I want to pull the data up on my phone right now, I can take a look at all of those dashboards with the click of a button.”

Planned maintenance percentage (PMP)

What PMP measures:

Planned maintenance percentage tracks how much of your maintenance work is scheduled rather than reactive. A higher PMP indicates a more proactive approach to maintenance, which helps reduce unplanned downtime.

How to calculate planned maintenance percentage:

PMP = (planned maintenance hours / total maintenance hours) × 100

Example:

Say your maintenance team worked 300 hours last month. Of those 300 hours, 200 were spent on planned maintenance activities, such as scheduled inspections and preventive repairs.

PMP = (200 / 300) × 100

PMP = 0.6667 × 100

PMP = 66.67%

PMP KPI benchmark:

An ideal PMP benchmark is 85% or higher, meaning a vast majority of your maintenance activities are planned and not reactive.

Reactive maintenance percentage

What reactive maintenance percentage measures:

Reactive maintenance percentage tracks the proportion of maintenance work that is unplanned or done in response to equipment failures. A lower percentage indicates a more proactive approach to maintenance, which can reduce downtime and extend equipment lifespan.

How to calculate reactive maintenance percentage:

Reactive maintenance percentage = (reactive maintenance hours / total maintenance hours) × 100

Example:

For example, revisiting the PMP example, of the 300 hours of total maintenance that month, 100 were spent on reactive maintenance.

Reactive maintenance percentage = (100 / 300) × 100

Reactive maintenance percentage = 33.3%

Reactive maintenance percentage KPI benchmark:

A reactive maintenance percentage below 20% is ideal. Higher values may indicate a need for more robust preventive maintenance strategies or more efficient planning. Organizations that  rely on reactive maintenance experience 3.3 times more downtime, 16 times more defects, and significantly more lost sales compared to proactive operations.

Schedule compliance

What schedule compliance measures:

Schedule compliance measures how effectively your maintenance team adheres to the planned maintenance schedule. It tracks the percentage of scheduled maintenance tasks that are completed on time.

How to calculate schedule compliance:

Schedule compliance = (completed scheduled tasks / total scheduled tasks) × 100

Example:

For example, your maintenance team had 120 tasks scheduled for last month. Of those, they completed 108 on time.

Schedule compliance = 108 / 120 x 100

Schedule compliance = 90%

Schedule compliance KPI benchmark:

A 90% or higher schedule compliance benchmark is ideal, indicating that your team completes most maintenance tasks on time. A low score could indicate several issues to address, such as ineffective communication between teams or poor resource planning.

Remaining asset value (RAV)

What RAV measures:

Remaining asset value measures the current value of an asset compared to its original purchase price. RAV helps teams determine whether it's more cost-effective to maintain or replace an asset.

How to calculate remaining asset value:

RAV = (current asset value / original purchase value) × 100

Example:

Suppose you purchased an industrial printer for $20,000; its estimated value is now $8,000. To calculate the RAV:

RAV = (8,000 / 20,000) × 100

RAV = 40%

RAV KPI benchmark:

A lower RAV suggests that the asset is nearing the end of its useful life. A benchmark of 50% or lower typically signals the need to evaluate asset replacement.

Standard maintenance cost per unit (SMCP)

What SMCP measures:

Standard maintenance cost per unit measures the average maintenance cost required to keep each unit of equipment operational. It helps you assess the efficiency of your maintenance spending.

How to calculate standard maintenance cost per unit:

SMCP = (total maintenance costs/number of units maintained)

Example:

Let's say your company spent $50,000 on maintenance last quarter to keep 200 pieces of equipment running efficiently. To calculate SMCP:

SMCP = 50,000 / 200

SMCP = $250 per unit

SMCP KPI benchmark:

A lower SMCP indicates more cost-effective maintenance operations. Benchmarks vary, but tracking trends over time can highlight opportunities to improve maintenance costs. 

Work order completion rate

What work order completion rate measures:

Work order completion rate monitors the percentage of work orders completed within a set timeframe. It provides insights into how efficiently your team meets maintenance objectives.

How to calculate work order completion rate:

Work order completion rate = (completed work orders / total work orders) × 100

Example:

Let's say your team had 150 work orders assigned last month and completed 135. To calculate the Work Order Completion Rate:

Work Order Completion Rate = (135 / 150) × 100

Work Order Completion Rate = 90%

Work order completion rate KPI benchmark:

A 90% or higher rating indicates strong performance. If your score falls below 85%, it may signal a need to reevaluate how your team is prioritizing tasks.

MaintainX’s mobile-first design and detailed work order requirements helped a Cardinal Glass plant increase on-time work order completion by about 14% year-over-year. This is in part due to how the software minimizes back-and-forth trips, improving response times when equipment issues come up.

Maintenance backlog

What maintenance backlog measures:

Maintenance backlog measures the amount of maintenance work that is scheduled but not yet completed. It helps assess your team's capacity to keep up with scheduled tasks and maintain operational efficiency.

How to calculate maintenance backlog:

Maintenance backlog = (total pending maintenance work / total available maintenance hours) × 100

Example:

Imagine your maintenance team has 500 hours of pending work and 1,000 hours of available maintenance time over the next month. To calculate Maintenance Backlog:

Maintenance Backlog = (500 / 1,000) × 100

Maintenance Backlog = 50%

Maintenance backlog KPI benchmark:

A two- to four-week maintenance backlog is considered ideal because it provides enough work to keep your team productive without overwhelming them. A backlog exceeding this range may indicate that your team needs more resources or more efficient work order management systems.

Maintenance technician productivity

What maintenance technician productivity measures:

Maintenance technician productivity tracks how efficiently your technicians complete their assigned tasks. It tracks the amount of productive work time versus time lost to delays, errors, or inefficiencies.

How to calculate maintenance technician productivity:

Maintenance technician productivity = (productive maintenance hours / total maintenance hours) × 100

Example:

Say your technician worked 160 hours in a month, spending 120 hours on planned maintenance and 40 hours waiting for parts or handling admin tasks. To calculate productivity:

Maintenance Technician Productivity = (120 / 160) × 100

Maintenance Technician Productivity = 75%

Productive maintenance hours refer to the time technicians spend actively working on planned maintenance tasks that directly contribute to the goals of the maintenance operation, as opposed to time spent waiting on parts or administrative work between tasks.

Maintenance technician productivity KPI benchmark:

A productivity rate of 85% or higher is generally considered efficient. If the rate is below 75%, it may indicate bottlenecks or a need for better task management and resource allocation. If your technician is hitting 90% or higher, they're a superstar.

Spare parts turnover ratio

What spare parts turnover ratio measures:

Spare parts turnover ratio represents how often spare parts are used and replaced within a specific time frame. It helps track inventory management efficiency by indicating whether you're using parts efficiently or unnecessarily stockpiling them.

How to calculate spare parts turnover ratio:

Spare parts turnover ratio = (cost of spare parts used / average spare parts inventory)

How this works:

• Cost of spare parts used: This is the total monetary value of all the parts consumed within the given period (in the following example, a year).
• Average spare parts inventory: This is the average value of the spare parts inventory on hand over the same period.

Example:

If your inventory's average value is $50,000 and you've used $100,000 worth of parts over the year:

Spare parts turnover ratio = ($100,000 / $50,000) = 2

This means your inventory "turned over" twice during the year.

Spare parts turnover ratio KPI benchmark:

An ideal spare parts turnover ratio depends on your industry and equipment types, but a higher turnover ratio typically indicates better inventory management. A ratio of two to four is common for many industries, signaling a balance between stocking too many or too few parts.

Equipment downtime

What equipment downtime measures:

Equipment downtime tracks the percentage of time equipment is out of service due to maintenance, repairs, or failures. It's a critical indicator of operational efficiency and asset reliability.

How to calculate equipment downtime:

Equipment downtime = (total downtime hours / total operating hours) × 100

Example:

Imagine a machine has been out of service for 10 hours during a 200-hour production month. To calculate the equipment downtime percentage:

Equipment Downtime = (10 / 200) × 100

Equipment Downtime = 5%

Equipment downtime KPI benchmark:

A lower equipment downtime percentage is ideal, with many industries aiming for less than 5% downtime. Higher values may signal maintenance inefficiencies or aging equipment that requires more frequent repairs.

Asset utilization

What asset utilization measures:

Asset utilization tracks how efficiently equipment is used compared to its full potential. It shows whether assets are being underused, overworked, or used optimally.

How to calculate asset utilization:

Asset utilization = (actual output / maximum possible output) × 100

Example:

Suppose a machine has a maximum production capacity of 1,000 units per month but produced only 750 units last month. To calculate the asset utilization:

Asset Utilization = (750 / 1,000) × 100

Asset Utilization = 75%

What output means:

What counts as output varies depending on the type of asset or industry, but it typically measures the work an asset completes (or is capable of completing) within a given time frame.

Asset utilization KPI benchmark:

An asset utilization rate of 85% to 95% is generally considered optimal. Lower rates may indicate that you’re underusing an asset, while higher rates could suggest overuse, leading to wear and tear.

First pass yield (FPY)

What first pass yield measures:

First-pass yield is a key indicator of quality and process efficiency. It measures the percentage of products or tasks completed correctly the first time around without requiring any rework or corrections.

How to calculate first pass yield:

FPY = (number of units completed without rework / total number of units produced) × 100

Example:

Imagine your team manufactured 1,000 units of a product, and 950 of these passed quality checks without needing rework. To calculate the FPY:

FPY = (950 / 1,000) × 100

FPY = 95%

First pass yield KPI benchmark:

An FPY of 95% or higher is a world-class score. Lower percentages suggest issues with quality control or process inefficiencies that require attention, such as inconsistent processes or substandard materials and components.

How to determine which KPIs to track

We recommend that beginners track no more than five maintenance KPIs at any given time.

Staying "lean and mean" will help prevent data overwhelm and support the small, gradual improvements that lead to lasting change. So, how do you determine the right KPIs to track?

Ask yourself and your team the following questions:

• What specific changes would most benefit your department?
• What specific outcomes would most benefit your organization’s goals?
• Which performance metrics could you use to measure progress?

The right KPIs can make or break your maintenance strategy. Focus on the ones that align with your maintenance goals and overall business objectives. For example, if reducing equipment downtime is a priority, you might track metrics like mean time between failures (MTBF) and equipment downtime. If cost savings are the goal, focus on maintenance cost per unit (SMCP) or inventory turnover.

How to use maintenance KPIs effectively

Implementing maintenance KPIs is only the first step. The real value lies in using them to drive meaningful improvements.

KPI tracking can help you build a solid case for your next big ask, whether that’s more headcount, new technology, or something else (see our five-step template on getting your next project approved here).

Below are key steps to help you get the most out of your maintenance KPIs:

Set benchmarks and targets

Clear targets give your team something to aim for. Start by establishing performance benchmarks that reflect industry standards. 

Example: If the industry standard for schedule compliance is 90%, aim to meet or exceed that benchmark and track your progress to keep your team on course.

Collect and analyze data

Data is only as useful as the metrics you track. Use your computerized maintenance management system (CMMS) to gather accurate information for each KPI. Regularly run analyses to uncover inefficiencies and trends. 

Example: Track the number of work orders completed each month to calculate your work order completion rate. You can then analyze this data to spot trends that point to inefficiencies.

Interpret results

Numbers tell a story, but you need to dig deeper to understand why you may not be achieving your targets. 

Example: Rising equipment downtime might point to aging equipment or inadequate preventive measures.

Take action based on insights

Use your KPI analysis to drive concrete improvements. If your analysis shows that your first pass yield is lower than expected, take steps to standardize procedures or improve technician training. Use that data to make adjustments that will directly impact performance.

Communicate results

Sharing is critical to success. Regularly report KPI data to your team and stakeholders to make sure everyone is aligned and working toward the same goals.

Review and adjust KPIs

KPIs should evolve as your business grows. Review your maintenance metrics often and adjust them as business needs change.

How to track key maintenance metrics automatically with MaintainX

With customizable dashboards and real-time reporting, MaintainX’s powerful platform helps you stay on top of key metrics. Below are some of the key performance indicators MaintainX can help you track:

Work order completion rate

Stay ahead of the game with real-time tracking. With MaintainX’s digital work order system, you can track the percentage of work orders completed on time and monitor work order progress in real-time.

Equipment downtime

Keep tabs on equipment downtime. Use MaintainX to identify patterns or recurring issues that lead to inefficiencies. Our downtime tracking feature helps you pinpoint problem areas and minimize unplanned outages.

Maintenance costs

MaintainX provides detailed cost tracking to help you monitor maintenance expenses. With real-time reporting, you can optimize spending by comparing actual costs to benchmarks and identifying cost-saving opportunities.

Asset performance and utilization

MaintainX’s asset management features help you get more from your equipment by keeping close tabs on utilization rates and performance. For metrics like mean time between failures (MTBF) and mean time to repair (MTTR), you can integrate with IoT sensors or other asset management systems.

Reactive maintenance percentage

MaintainX's reactive maintenance tracking tools can help you track how much of your maintenance is unplanned. Working toward a lower reactive maintenance percentage means less unplanned downtime and more productive operations.

Preventive maintenance compliance

Stay ahead of equipment failures. MaintainX's automated reminders and tracking tools ensure that preventive maintenance tasks are completed on schedule. You can monitor schedule compliance rates to keep your team on track.

Work order backlog

Monitor pending maintenance work with MaintainX’s work order backlog feature. This metric helps you identify bottlenecks, prioritize overdue tasks, and complete them efficiently.

Technician productivity

MaintainX helps you track technician productivity by monitoring labor hours and task completion rates. This helps you spot inefficiencies and direct your resources where they'll do the most good.

You can check out real stories of how customers have used MaintainX’s real-time insights, dashboards, and reports to gain a clearer view of their metrics and make data-driven decisions that drive real results.

Ready to see how MaintainX can help your team optimize your maintenance processes? Book a tour of MaintainX now.