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M3 Inventory Turnover and Days on Hand Calculator

Inventory turns is the one figure every finance director understands. This calculator converts it into days on hand and into the cash and carrying cost you would free by reaching a target, so the conversation with the business has a number in it.

Your numbers

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$
$
5
%

Your results

Inventory turns
4.0217
Days on hand
91 days
Average inventory
$4,600,000
Average inventory at target turns
$3,700,000
Working capital released at target
$900,000
Annual carrying cost saving
$180,000

Uses a simple two-point average. A monthly or quarterly average of balances gives a more reliable figure where inventory moves seasonally. A negative release means the target is below current performance.

Save results:

Cash released vs target turns

Sweeps Target turns per year from 2 to 20, holding your other inputs fixed.

Find excess and obsolete stock

Optional: read-only analysis of slow movers and excess stock from your M3 data.

Optional. The tool and every export work without this. No spam.

How to use it

Take annual cost of goods sold from the income statement, and opening and closing inventory values from the balance sheet or the stock valuation report in your M3 system. Enter a target turn rate and a carrying cost rate. The calculator reports average inventory, turns, days on hand, the average inventory at the target, and the cash and annual carrying cost released if you got there. The chart shows the release across a range of targets.

  • Use cost of goods sold, not sales revenue
  • Use monthly balances if you have them
  • Separate raw material, WIP and finished goods when possible
  • Choose targets by category, not one company number

The formulas

Turns equals annual COGS divided by average inventory. Days on hand equals 365 divided by turns. Inventory at a target turn rate is COGS divided by that target, and the difference from today's average is the working capital released. Multiplying by the carrying cost rate gives the annual saving that arrives as lower financing, storage and obsolescence cost.

Interpreting the output

Compare turns to your own history and to similar manufacturers, not to a global rule. Long lead time and make-to-stock businesses will naturally turn slower than assemble-to-order ones. The release figure is a ceiling, not a forecast, because service level and lead time constraints limit how far you can reduce stock without hurting delivery.

  • Look at slow movers and obsolete stock first
  • Watch service level while cutting stock
  • Revisit safety stock and order quantity settings
  • Track turns monthly, not just yearly

Common mistakes

Using sales instead of cost of goods sold overstates turns. Using a single year-end balance when stock peaks mid-year distorts the average. Another common error is treating all inventory as reducible, when part of it is contractual buffer or customer-owned consignment. Finally, aim your targets at categories where the data justifies the change, because broad cuts usually cause shortages.

Frequently Asked Questions

What is a good turn rate?

It varies widely by industry and business model. Compare to your own trend and to peers with a similar product mix. A rising trend with stable service is a better sign than hitting a generic number.

Why use average instead of closing inventory?

An average reflects stock levels through the period. Closing inventory can be unusually high or low because of timing, which would distort turns. More balance points give a better average.

How do I split turns by category?

Run the calculator separately with COGS and inventory for each category, such as raw material or finished goods. Each category has different lead times and policies, so combined turns hide the real problems.

Is the cash release guaranteed?

No. It is the arithmetic effect of reaching the target, but achieving it needs lower buffers and order quantities that the supply chain can support. Test changes on selected items first.

If you want slow movers, excess stock and obsolescence risk identified from live M3 stock and transaction history, Netray can build a read-only analysis for your team.