Lesson 33: Standard Costing

Lesson 33 of 33 · 100%

What standard costing is

Standard costing sets a planned cost for each input — material, labour, overhead — before production happens. When actual production occurs, the actual costs are compared against these standards, and the differences are analysed as variances. The goal isn’t to predict actual cost perfectly; it’s to flag what’s drifting and why, so management can act.

Used heavily in manufacturing, but the concept transfers to any operation with repeatable processes — restaurant chains, BPOs, even healthcare.

STANDARD COSTING — Variance Decomposition TOTAL COST VARIANCE PRICE / RATE VARIANCE Did we pay too much/little per unit? USAGE / EFFICIENCY Did we use more/fewer units? Variance = Actual cost − Standard cost Favourable (F): actual < standard · Adverse (A): actual > standard Used to investigate WHY actuals deviated from budget.
Total variance splits into price/rate (paying more or less per unit) and usage/efficiency (using more or fewer units). Each tells a different management story.

Setting the standards

Three approaches:

  • Ideal standards — perfect performance, no waste, full efficiency. Demotivating in practice; rarely used as the day-to-day target.
  • Attainable standards — what should be possible with reasonable effort and normal conditions. Most common.
  • Currently attainable standards — rolled forward from past performance with some improvement target. Easy but loses ambition.

Standards typically cover three categories: material (price per unit, quantity per output), labour (rate per hour, hours per output), and overhead (variable and fixed components).

The six core variances

Material variances

  • Material price variance = (Actual price − Standard price) × Actual quantity. Did we pay more or less per kg than planned?
  • Material usage variance = (Actual quantity − Standard quantity for output) × Standard price. Did we use more or fewer kg than the recipe says?

Labour variances

  • Labour rate variance = (Actual rate − Standard rate) × Actual hours. Did we pay more per hour than planned?
  • Labour efficiency variance = (Actual hours − Standard hours for output) × Standard rate. Did the work take more or fewer hours than the standard?

Overhead variances

  • Variable overhead spending variance — did variable overhead per unit of activity differ from plan?
  • Fixed overhead volume variance — did we produce more or fewer units than the volume assumed in setting fixed overhead rates?

Worked example — material variance

Standard: each unit of product needs 2 kg of raw material at ₹50/kg. Budgeted output: 10,000 units. So standard cost = 20,000 kg × ₹50 = ₹10,00,000.

Actual: produced 10,000 units. Used 21,500 kg. Paid ₹48/kg. Actual cost = 21,500 × 48 = ₹10,32,000.

Total variance = 10,32,000 − 10,00,000 = ₹32,000 Adverse (paid more than standard).

Decompose:

  • Price variance = (48 − 50) × 21,500 = ₹43,000 Favourable (we got a discount).
  • Usage variance = (21,500 − 20,000) × 50 = ₹75,000 Adverse (used 1,500 kg more than recipe).

Total: 75,000 A − 43,000 F = ₹32,000 A. ✓

Management story: procurement saved money (good) but production wasted material (bad — investigate). Without decomposition, the headline “₹32,000 over budget” hides the underlying drivers.

How to investigate variances

  • Material price adverse. Inflation? Supplier change? Emergency procurement at premium? Quality upgrade?
  • Material usage adverse. Lower-quality materials? Inexperienced operators? Equipment defects? Specification changes?
  • Labour rate adverse. Overtime hours? Wage increase? Hired senior workers for junior jobs?
  • Labour efficiency adverse. New workers? Defective equipment? Materials caused rework? Process changes?
  • Overhead variance. Utility tariff change? Maintenance backlog? Volume below break-even?

Variances are pointers, not verdicts. They tell you where to look, not what’s broken.

Strengths and limitations

Strengths:

  • Highlights deviations from plan in real time.
  • Supports management-by-exception — focus only on material variances.
  • Forces a planning discipline.
  • Provides a benchmark for performance reviews.

Limitations:

  • Standards become outdated if not refreshed; obsolete standards mislead.
  • Can encourage gaming — e.g., buying low-quality cheap material to favour price variance, then suffering usage variance.
  • Less applicable in fast-changing or low-volume environments.
  • Doesn’t capture non-financial performance (defect rates, lead times, customer satisfaction).

Lesson recap — and course recap

  • Standard costing sets planned costs, compares against actuals, analyses variances.
  • Total variance splits into price/rate (per-unit) and usage/efficiency (quantity).
  • Six core variances: material price/usage, labour rate/efficiency, overhead spending/volume.
  • Variances point to where to investigate — not what’s wrong.
  • Refresh standards regularly to keep the system useful.

You’ve now reached the end of all 33 lessons — the full accounting curriculum a beginner needs to read financial statements, manage a small business’s books, and understand the cost drivers behind any operation. Next steps: practise with real transactions, explore software (Tally, QuickBooks, Xero, Zoho Books), and pick a deeper specialism — auditing, tax, financial reporting under IFRS, or managerial accounting.

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Practitioner Insights

Standard costing remains a control workhorse in Indian manufacturing — auto OEMs (Tata Motors, Mahindra), FMCG (HUL, Nestle), engineering (L&T, BHEL). Standards are set annually at budget time using historical data, supplier quotes, time-and-motion studies, and benchmarking. Variances are split into Price, Quantity, Rate, Efficiency and Overhead categories — each mapped to a responsibility centre. ICMAI’s CAS-21 governs Direct Material Cost variances. The Cost Records and Audit Rules 2014 accept standard costing as a valid method, requiring disclosure of significant variances and their reasons in the cost audit report.

Detailed Worked Scenario

Suppose Maruti Suzuki sets a standard of 800 kg steel per Wagon R, ₹65/kg, for production. Standard material cost per car = ₹52,000. In May 2026, actual production = 30,000 cars, actual steel used = 24,500 metric tonnes at ₹68/kg = ₹166.6 crore. Material Price Variance = (65−68) × 24,500 × 1000 = (₹7.35 crore) adverse. Material Usage Variance = (24,000 standard MT − 24,500 actual MT) × ₹65 × 1000 = (₹3.25 crore) adverse. Total material variance = (₹10.6 crore) adverse. Root-cause analysis points to (a) steel price hike of ₹3/kg (purchasing variance, action: hedge), (b) yield loss of 2% on a new high-strength steel grade (production variance, action: tooling improvement). Standard updated next quarter to ₹68/kg with continued focus on the 2% yield gap.

More FAQs

How often should standards be revised?
Typically annually at budget time, with mid-year revisions if commodity prices or wage agreements shift materially (>5% change is a common trigger).

What is the difference between standard costing and budgeting?
Budgeting is aggregate planning (total revenues, total expenses); standard costing is unit-level norms used for cost control and variance analysis. The two are complementary planning tools.

Is standard costing acceptable for inventory valuation?
Yes, provided standards approximate actual costs and are revised regularly. Material variances must be allocated back to inventory and COGS, not simply written off (Ind AS 2 / AS 2 requirement).

Practical Indian Application

Standard costing remains a control workhorse in Indian manufacturing — auto OEMs (Tata Motors, Mahindra, Maruti), FMCG (HUL, Nestle, ITC), engineering (L&T, BHEL, Larsen). Standards are set annually at budget time using historical data, supplier quotes, time-and-motion studies, and benchmarking. Variances are split into Price, Quantity, Rate, Efficiency and Overhead categories — each mapped to a responsibility centre. ICMAI’s CAS-21 governs Direct Material Cost variances.

Worked Variance Analysis

Maruti sets a standard of 800 kg steel per Wagon R at ₹65/kg = ₹52,000/car. In May 2026 actual production = 30,000 cars, actual steel = 24,500 MT at ₹68/kg = ₹16.66 cr. Material Price Variance = (65−68) × 24,500 MT × 1000 = (₹7.35 cr) adverse. Material Usage Variance = (24,000 std MT − 24,500 actual MT) × ₹65 = (₹3.25 cr) adverse. Total variance = (₹10.6 cr) adverse. Root cause: steel price hike ₹3/kg (purchasing variance — action: hedge via NSE Steel futures) plus 2% yield loss on a new high-strength grade (production variance — tooling improvement). Standards revised next quarter.