Introduction
1. What is Variance Analysis?
- Positive variance → actual results are better than planned
- Negative variance → actual results are worse than planned
2. Types of Variances
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Revenue Variance
- Difference between budgeted and actual revenue
- Causes: price changes, sales volume variation, product mix
-
Cost Variance
- Difference between budgeted and actual costs
- Can be Fixed Cost Variance or Variable Cost Variance
- Helps identify overspending or efficiency issues
-
Profit Variance
- Difference between expected and actual profit
- Combines revenue and cost variances to assess overall financial performance
-
Operational Variance
- Differences in KPIs like production efficiency, labor hours, or inventory usage
- Useful for non-financial performance control
3. Formula for Variance
Simple formula:
- Positive = favorable
- Negative = unfavorable
Example:
4. Why Variance Analysis Matters
- Identify problems early: Detect areas of overspending or underperformance
- Improve planning: Refine future budgets and forecasts based on past performance
- Support decision-making: Take corrective actions quickly
- Enhance accountability: Track department or project performance
5. Common Causes of Variances
- Volume changes: Sales more or less than planned
- Price changes: Market fluctuations affecting revenue or costs
- Efficiency issues: Labor or material inefficiency
- Unexpected events: Economic changes, supply chain disruptions
