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Average Days of Inventory Formula

Days Inventory Outstanding (DOI) Formula:

\[ DOI = \frac{\text{Average Inventory}}{\text{Cost of Goods Sold}} \times 365 \]

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1. What is Days Inventory Outstanding?

Days Inventory Outstanding (DOI) is a financial ratio that measures the average number of days a company holds its inventory before selling it. It indicates how efficiently a company is managing its inventory levels and turnover.

2. How Does the Calculator Work?

The calculator uses the DOI formula:

\[ DOI = \frac{\text{Average Inventory}}{\text{Cost of Goods Sold}} \times 365 \]

Where:

Explanation: The formula calculates how many days it would take to sell the entire inventory based on current sales rates.

3. Importance of DOI Calculation

Details: DOI is crucial for assessing inventory management efficiency, cash flow optimization, and identifying potential obsolescence risks. Lower DOI generally indicates better inventory management.

4. Using the Calculator

Tips: Enter average inventory and cost of goods sold in the same currency units. Both values must be positive numbers. Average inventory is typically calculated as (Beginning Inventory + Ending Inventory) ÷ 2.

5. Frequently Asked Questions (FAQ)

Q1: What is a good DOI value?
A: Ideal DOI varies by industry. Generally, lower values are better, but it should be balanced against stockout risks. Compare with industry averages for context.

Q2: How does DOI differ from inventory turnover?
A: DOI shows days to sell inventory, while inventory turnover shows how many times inventory is sold and replaced annually. They are inversely related.

Q3: Why use average inventory instead of ending inventory?
A: Average inventory provides a more accurate picture by smoothing out seasonal fluctuations and temporary inventory spikes.

Q4: What causes high DOI?
A: High DOI can indicate slow-moving inventory, overstocking, poor demand forecasting, or declining sales.

Q5: How can companies reduce their DOI?
A: Strategies include improving demand forecasting, implementing just-in-time inventory systems, optimizing reorder points, and liquidating slow-moving items.

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