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Days Inventory Outstanding (DIO) Table: Days inventory outstanding by Average inventory

Reference table of days inventory outstanding for Days Inventory Outstanding (DIO) across a range of average inventory values — exact, engine-computed figures you can read off at a glance.

By Priya Nair, MBA, Finance & Strategy · Updated Jun 2026 · 1 min read

This days inventory outstanding (dio) reference table shows the days inventory outstanding for a range of average inventory values, assuming a cost of goods sold of ₹2,19,000 and a days in period of 365. Every figure is computed with the same engine that powers our Days Inventory Outstanding (DIO) Calculator, so the numbers are exact.

Average inventoryDays inventory outstanding
₹7,50012.5
₹15,00025.0
₹23,00038.3
₹30,00050.0
₹45,00075.0
₹60,000100.0
₹90,000150.0
₹1,50,000250.0
₹2,10,000350.0
₹3,00,000500.0

How to use this table

Find the row closest to your average inventory and read across to the days inventory outstanding. For a value between two rows, the real figure sits between them — or enter your exact numbers in the Days Inventory Outstanding (DIO) Calculator for a precise answer.

Need a value that is not in the table? — the Days Inventory Outstanding (DIO) Calculator does it instantly, for free, with the formula and a worked example built in.

Continue exploring business calculators with these tools: Discount Calculator, Price Elasticity of Demand Calculator, Profit Margin Calculator, Gross Profit Calculator, ROI Calculator.

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Frequently asked questions

Each cell is computed with the standard formula using exact arithmetic — the same calculation behind our Days Inventory Outstanding (DIO) Calculator — so every figure is accurate for the stated assumptions.

Yes. The table covers common average inventory values; for any exact figure, enter your own numbers in the Days Inventory Outstanding (DIO) Calculator.

Priya Nair · MBA, Finance & Strategy

Priya Nair is a business analyst and MBA who advises small businesses and startups on pricing, unit economics and growth metrics.