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Average Age Of Inventory

Posted on October 16, 2025October 23, 2025 by user

Average Age of Inventory

What it is

The average age of inventory (also called days’ sales in inventory, DSI) measures the average number of days a company holds inventory before selling it. It gauges how quickly inventory turns into sales and helps assess inventory-management efficiency.

Formula

Average Age of Inventory (days) = (Average Inventory / Cost of Goods Sold) × 365

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Alternatively:
Average Age of Inventory = 365 / Inventory Turnover
where Inventory Turnover = COGS / Average Inventory

Use average inventory (often the mean of beginning and ending inventory for the period) and COGS for the same period.

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What it reveals

  • A lower number means inventory is sold more quickly — generally a sign of efficient operations.
  • A higher number can indicate slow-moving stock, excess inventory, pricing issues, or potential obsolescence.
  • Industry norms vary widely (e.g., groceries vs. heavy equipment), so compare to peers or historical company trends.
  • Should be evaluated alongside other metrics (gross profit margin, inventory turnover, sales trends) before drawing conclusions.

Practical uses

  • Purchasing and production planning — helps set reorder levels and safety stock.
  • Pricing and discount decisions — high average age may prompt markdowns to increase cash flow.
  • Risk assessment — longer holding periods increase exposure to obsolescence and potential write-offs.
  • Financial analysis — used by investors and analysts to compare operational efficiency across companies.

Example

Company A
* Average inventory = $100,000
* COGS = $600,000
* Average Age = (100,000 / 600,000) × 365 ≈ 60.8 days

Company B
* Average inventory = $100,000
* COGS = $1,000,000
* Average Age = (100,000 / 1,000,000) × 365 = 36.5 days

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On the surface, Company B turns inventory faster than Company A. However, further analysis (margins, product mix, seasonality) is needed to confirm overall efficiency.

Limitations and cautions

  • Seasonal businesses should use appropriately timed averages (e.g., seasonal averages or rolling 12-month figures).
  • A low average age isn’t always positive if achieved by sacrificing margins (excessive discounting) or reducing service levels.
  • High inventory levels may be strategic (bulk purchasing discounts, preparation for demand spikes); context matters.

Key takeaways

  • Average age of inventory shows how long, on average, inventory sits before sale.
  • Compare across peers, time periods, and alongside profitability metrics.
  • Use it for operational, purchasing, and financial decision-making, remembering industry context and other influencing factors.

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