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Inventory Turnover Calculator

Calculate inventory turnover ratio and inventory days to analyze operational efficiency

Calculate Inventory Efficiency

Total cost of goods sold during the period

Inventory value at the start of the period

Inventory value at the end of the period

Time period for analysis

Inventory Turnover Results

Enter values to calculate inventory turnover metrics

Efficiency Analysis

Example Calculation

Retail Company Example

Cost of Goods Sold: $1,200,000

Beginning Inventory: $150,000

Ending Inventory: $200,000

Analysis Period: 365 days

Calculation

Average Inventory = ($150,000 + $200,000) ÷ 2 = $175,000

Inventory Turnover = $1,200,000 ÷ $175,000 = 6.86x

Inventory Days = 365 ÷ 6.86 = 53.2 days

Result: Good efficiency for retail business

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Industry Benchmarks

12-20x

Retail (Grocery)

18-30 days inventory

4-6x

Retail (Clothing)

60-90 days inventory

6-12x

Manufacturing

30-60 days inventory

8-15x

Technology

24-45 days inventory

Analysis Tips

Higher turnover generally indicates better efficiency

Compare with industry benchmarks for context

Track trends over multiple periods

Consider seasonal variations in analysis

Understanding Inventory Turnover

What is Inventory Turnover?

Inventory turnover is a financial efficiency ratio that measures how many times a company sells and replaces its inventory during a specific period. It indicates how efficiently a company manages its inventory and converts it into sales.

Why is it Important?

  • Measures operational efficiency and inventory management
  • Indicates cash flow quality and working capital efficiency
  • Helps identify potential inventory problems early
  • Enables comparison with industry benchmarks

Formula Explanation

Inventory Turnover = COGS ÷ Average Inventory

Inventory Days = Period Days ÷ Inventory Turnover

  • COGS: Cost of Goods Sold during the period
  • Average Inventory: (Beginning + Ending) ÷ 2
  • Inventory Days: Time to sell average inventory
  • Higher Turnover: Better efficiency and cash flow

Note: Industry averages vary significantly. Compare with similar companies for meaningful analysis.

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