Every mine runs two kinds of capital. There’s the money that builds new capacity—a plant expansion, a fleet addition, a new pit phase—and the money that keeps existing capacity running. The first gets a stage-gate review, an independent estimate, and a capital committee. The second, the mining maintenance budget, gets a spreadsheet.
Surprisingly, the second pot is the bigger one. Sustaining capital in mining has accounted for half or more of the industry’s annual capital expenditure in recent years, according to Bain & Company, and unlike a growth project, it comes around again every 12 months.
It also shows up where investors look. Maintenance spend sits inside All-In Sustaining Cost, so a miss at site level becomes part of the financial data the market watches. And that number keeps climbing—gold AISC has risen year over year for 28 consecutive quarters.
Mining is getting more expensive, which makes the maintenance budget one of the most significant opportunities a mine has to improve its cost position.
None of that is news to anyone who has built a mining maintenance budget. What’s worth a closer look is where control over that budget tends to slip, because it happens at four predictable points in the year.
Syntax Introduces Maintenance Cost Budgeting for Mining, Giving Operators Forward-Looking Control Over Maintenance Spend
1. Building the Mining Maintenance Budget on Last Year’s Numbers
Most maintenance budgets start in the same place: last year’s actuals, an inflation assumption, a few adjustments, and a review meeting. It’s fast, and it produces a number the budget committee will accept.
What it doesn’t account for is the equipment or the global conditions that can change maintenance needs and costs. Operating hours measured against component life. Rebuild intervals coming due across a fleet of mixed vintages. Tariffs, currency movements, commodity prices, freight costs, and supply-chain disruptions affecting the price and availability of equipment and supplies. Deferred work rolling in from the prior year—the rebuild pushed from Q4 into Q1 that improved last year’s variance but now sits in a budget that never recorded it as a commitment.
External cost pressures are only part of the problem. Last year’s number is also a poor guide when the operating environment has changed. Units get added or parked, a shovel moves between pits, a contract rate resets, or a supplier’s lead times stretch. A budget built on last year’s totals captures none of those changes. Bain found that at one global miner, 75% of the sustaining capital projects actually carried out hadn’t been planned at all.
This is also the first number an acquirer will test. The aggregate value of global mining M&A reached $93.7 billion in 2025, the highest annual total since 2012, and deferred maintenance carried at book value is a common way a deal loses value: the buyer inherits work the target’s budget never recorded, and it appears as an unbudgeted capital call after the deal closes.
The same discipline that makes a budget defensible in due diligence makes it manageable in an ordinary year.
There’s a cost in effort as well. Building the budget by hand takes months of maintenance and finance time every year, and much of that work goes into assembling data the ERP already holds: equipment usage, maintenance history, cost structure, asset hierarchy. A guided build that draws on that data directly is faster and better grounded. Predictive cost modeling then extends it forward, estimating what this fleet, at these hours, with these components coming due, should cost next year.
2. Maintenance Cost Management Ends at Approval
The budget is approved as an annual number. From that point on, most sites have no straightforward way to see how much of it has been used.
Commitments arrive at different times and through different transactions: a contractor mobilization, a long-lead component order, a shutdown scope that grows by two days, a rebuild exchange charged to a different cost center. Each is visible on its own but together, as a running total against what was approved, they are not.
Costs can also move through the system differently. Maintenance tracks costs by work order and equipment, but postings are made to a cost center—often at the fleet level—and recorded period by period. As a result, tracking budget versus actual costs at the equipment level is very difficult.
So, the questions every superintendent asks in July—how much do I have left and how much am I forecast to spend—gets answered from month-old data, and usually by someone reconciling two spreadsheets to find out. This can be impacted, as well, by whether the mine plan has changed and what it does to equipment utilization.
That uncertainty carries a cost of its own. Work gets pushed into next year late in the cycle, not because the equipment can wait, but because nobody is confident there’s budget left to cover it. That’s how most deferred work is created.
What helps here isn’t a better report. It’s a live balance: committed against remaining, cost center by cost center and asset by asset.
3. The Mine Plan Changes. The Maintenance Budget Doesn’t.
Mine plans move. Grade comes in below model, a strip ratio shifts, a pushback is resequenced, a shutdown is pulled forward to catch a market window. Each of those changes what maintenance is going to cost, sometimes substantially.
The budget usually stays where it is, for a practical reason. Reopening a spreadsheet budget mid-year means rebuilding it, and rebuilding it destroys the baseline everyone has been reporting against. The site ends up planning around conditions on the ground while reporting against a number set in August.
Shutdowns are usually the largest single swing. Move a mill shutdown by one quarter and the labor, contractor, and component spend moves with it, along with the production it was scheduled around.
Budget versions remove that trade-off. A reforecast sits alongside the approved baseline instead of overwriting it, so a site can plan against current conditions and still report variance against what was committed. Both numbers stay valid, and both stay visible.
4. Variance Analysis that Arrives Too Late
Variance usually appears in the month-end reporting, four to six weeks after the decision that caused it. By then the money is spent, and the assumption behind it has already been carried into the next plan.
The picture can also be incomplete. Maintenance cost sitting in other cost centers, inside contractor scope, in inventory movements, or capitalized into a rebuild may never reach the maintenance line, so a site can be on budget and still be over. Underlying data problems make this harder to catch—cost centers coded inconsistently, equipment hierarchies out of date—and those distortions are very difficult to find in a spreadsheet.
Both problems compound. The budget built next August inherits whatever this year’s variance analysis couldn’t explain, and the cycle repeats on the same assumptions.
Variance analysis that runs as the numbers post, against both plan and forecast, provides time to respond while the year is still open. It also means this year’s actuals become next year’s starting point rather than next year’s estimate.
Cloud ERP in the Mining Industry: Real Stories of Digital Transformation
Maintenance Cost Budgeting in One Connected Process
Treating maintenance cost management as four separate problems would only produce more spreadsheets and greater opportunity for error and inefficiency. This is the thinking behind Syntax Maintenance Cost Budgeting, part of Syntax’s mining solutions portfolio for SAP. It’s an SAP-compatible extension built for mining and fully integrated with SAP Cloud ERP, so the whole budget cycle runs in one place.
- Budget Development Accelerator: Step-by-step guided process to budget development using integrated ERP data.
- Budget Versions: Annual budgets and reforecast versions account for operational changes throughout the year.
- Budget Quality: Visibility into primary, secondary, and tertiary maintenance costs across the asset base.
- Automated Variance Analysis: Automated comparisons between planned, forecasted, and actual maintenance expenditures.
- Predictive Cost Modeling: Predictive insights based on historical maintenance trends and equipment usage data and what has changed.
The benefits are obvious. Maintenance, site finance, and corporate work from one current number, budget prep stops consuming an entire month of the year, and each cycle starts from facts rather than assumptions. The same cost history that improves the budget also supports better decisions about when to replace, rebuild, or overhaul.
Organizations with less mature maintenance data can begin with a simpler annual, asset-level budget and build toward more detailed primary and secondary cost visibility as their data and processes mature.
Forecast Maintenance the Way You Forecast Production
Mining forecasts production to a ton and a grade, publishes the number, and gets held to it. The mining maintenance budget behind that production can be planned with the same confidence, from the same system and the same data.
Syntax Maintenance Cost Budgeting
Author
Nick Cecil
Industry Principal for Mining & Natural Resources, Syntax
Nick Cecil is Industry Principal for Mining & Natural Resources at Syntax. Based in Tennessee, he brings more than 15 years of experience in the mining sector and over 20 years of SAP consulting expertise across asset‑intensive industries. Nick works closely with mining organizations to align technology strategy with operational performance, helping them drive innovation, efficiency, and sustainable growth.
