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Inventory Turnover Ratio Calculator

Inventory turnover is the headline activity ratio for stocking efficiency: Turnover = COGS ÷ average inventory. Its companion days inventory outstanding (DIO = period days ÷ turnover) shows the average days a unit sits on the shelf before sale. Used everywhere in retail, manufacturing and e-commerce, and a core input to the cash conversion cycle (CCC = DIO + DSO − DPO).

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Results

Inventory turnover (× per period)

Days inventory outstanding (DIO)

Most useful against industry peers or the same company over time. Rising turnover usually means better stocking; very rapid jumps risk stock-outs. Read alongside DSO and DPO to see the full cash-conversion cycle.

Formula

Turnover = COGS / average inventory. DIO = period days / Turnover.

Frequently asked

Why use COGS rather than revenue in the numerator?

Because inventory is carried at cost on the balance sheet — COGS is also cost-based, so the units match and the ratio has clean economic meaning. Using revenue (which includes gross margin) distorts the metric across companies with different margins. Example: two firms both carry $1M average inventory. Firm A has 20 % margin and $6M sales (COGS $4.8M); Firm B has 60 % margin and $6M sales (COGS $2.4M). Computed correctly: A turns 4.8×, B turns 2.4× — A really does sell twice as fast. Using revenue would falsely show both at 6×, masking the operational gap. That is why GAAP / IFRS textbooks and every investment-banking / PE valuation model use COGS. Retail occasionally uses "sales / inventory" as a quick-and-dirty "Inventory-to-Sales" KPI — but that is a separate metric, not the turnover ratio.

What does a high vs. low DIO each signal?

A high DIO (slow turnover) usually signals: (1) stale inventory — bad demand forecasting or out-of-fashion lines; (2) over-buying — procurement chasing volume rebates; or (3) a legitimate business model — heavy industry, luxury and custom production naturally run long DIO. Costs: large working-capital tie-up, obsolescence risk (especially tech / fashion), storage and insurance. A very low DIO has its own risks: (1) stock-outs — top SKUs go empty and customers permanently switch; (2) lost sales / suboptimal profit; (3) high reorder frequency raising logistics costs. In practice the most useful read is the *trend* — vs. the company's own history and vs. industry peers. Amazon FBA splits DIO into "sellable inventory days" and "unsellable inventory days" for exactly this reason — healthy vs. dead-stock days need to be tracked separately.

Is "the higher the better" the right framing for JIT-style operations?

In principle yes — up to a point. Toyota JIT and Dell's direct-to-order model push DIO down to 5–15 days (turnover 25–70×), driving working-capital needs to near-zero and free cash flow up. But this requires a tightly engineered supply chain: nearby tier-1 suppliers, predictable daily demand, reliable logistics. COVID and the 2021 chip shortage exposed JIT's fragility — one stuck ship in the Suez Canal (2021 Ever Given) was enough to halt global auto lines. Post-pandemic, the consensus has shifted to "JIT + strategic safety stock" — DIO eased from 5–10 days back up to 15–25, trading a little turnover for resilience. So "higher is better" carries an asterisk: extreme turnover means zero buffer, and a black-swan event halts production immediately. Best practice is to set a sensible DIO band by industry supplier concentration and lead time, not chase the highest possible number.

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