Standard Costing

What Is Standard Costing?

Standard costing is a cost accounting approach in which expected (standard) costs are established for each product or production activity in advance, based on engineering estimates, historical data, and operational assumptions. These standard costs are then compared to actual costs incurred, and the differences — variances — are analyzed to identify inefficiencies, waste, or changes in input prices.

Standard costing is the cost accounting backbone of most discrete manufacturing operations. It answers: what should it cost to make this product?

Components of a Standard Cost

A standard cost for a manufactured product has three components:

Standard Materials Cost

Standard Materials Cost = Standard Quantity × Standard Price

Example: A product requires 5 lbs of steel at a standard price of $2.00/lb → Standard materials cost = $10.00

Standard Labor Cost

Standard Labor Cost = Standard Hours × Standard Wage Rate

Example: A product requires 0.5 hours of direct labor at $30/hr → Standard labor cost = $15.00

Standard Overhead Cost

Standard Overhead Cost = Standard Hours × Predetermined Overhead Rate

Example: Overhead rate is $20/direct labor hour × 0.5 hours → Standard overhead cost = $10.00

Total Standard Cost = $10 + $15 + $10 = $35.00 per unit

Standard Costing vs. Job Costing

Standard costing and job costing are complementary approaches used together in most manufacturing environments:

	Standard Costing	Job Costing
Focus	Expected cost per unit	Actual cost per job
Purpose	Benchmarks and variance analysis	Job profitability tracking
When set	Before production	After costs are incurred
Output	Standard cost card	Job cost report + variances

Standard costs become the benchmark; job costs reveal what actually happened. The difference between the two is the cost variance.

How Standard Costs Are Set

Standard costs are typically established during the annual budgeting process, with input from:

• Engineering: Bills of materials (BOM), routing times, machine rates
• Purchasing: Expected material prices based on supplier contracts and market conditions
• Operations: Expected labor efficiency and scrap rates
• Finance: Overhead rate calculation based on budgeted overhead and expected volume

Setting realistic standards is harder than it sounds. Overly optimistic standards produce chronic unfavorable variances that nobody investigates. Overly conservative standards mask real inefficiencies.

Standard Cost Variances

Once standard costs are set, actual production costs are compared to them at the end of each period. The main variances:

Materials Price Variance: Did we pay more or less than standard for our inputs?

MPV = (Actual Price − Standard Price) × Actual Quantity

Materials Quantity Variance: Did we use more or less material than standard?

MQV = (Actual Quantity − Standard Quantity) × Standard Price

Labor Rate Variance: Did we pay more or less per hour than standard?

LRV = (Actual Rate − Standard Rate) × Actual Hours

Labor Efficiency Variance: Did production take more or fewer hours than standard?

LEV = (Actual Hours − Standard Hours) × Standard Rate

Overhead Variance: Was actual overhead more or less than applied overhead? (See overhead absorption)

Why Standard Costing Is Difficult in Practice

Standard costs go stale. Material prices change, labor rates change, production methods change. If standards aren’t updated regularly, variances become noise rather than signal.

Data integration is the real challenge. Calculating meaningful variances requires actual material quantities (from the MES or inventory system), actual labor hours (from time tracking), and actual overhead (from the GL) — all connected and reconciled. In most mid-market manufacturers, these systems don’t communicate automatically.

Cost accounting expertise is scarce and expensive. A skilled cost accountant who can set standards, analyze variances, and drive operational improvement commands $120K+ in salary. Many mid-market manufacturers are understaffed in this area.

Variance investigation requires operational context. A materials quantity variance doesn’t explain itself. Understanding whether it was caused by scrap, measurement error, or a supplier issue requires connecting financial data to operational events.

How Go Fig Supports Standard Costing

Go Fig connects ERP, MES, inventory, and labor data to automate the collection of actual cost data against standard costs — enabling real-time variance reporting without manual data reconciliation. Finance teams get drill-down visibility from the cost variance to the specific production run or job that drove it.