1. Scope
Calculates inventory turnover (COGS / average inventory) and days inventory outstanding. It is a trailing indicator and does not forecast demand or recommend re-order points.
2. Inputs and outputs
Inputs
- cogs number (currency)
Cost of goods sold for the period.
- beginningInventory number (currency)
- endingInventory number (currency)
- periodDays number default: 365
Outputs
- averageInventory
(beginning + ending) / 2.
- turnover
cogs / averageInventory.
- daysInventoryOutstanding
periodDays / turnover.
Engine source: src/lib/inventory-turnover-calculator/engine.ts
3. Formula / scoring logic
avg_inventory = (beginning + ending) / 2
turnover = cogs / avg_inventory
dio = period_days / turnover 4. Assumptions
- Average inventory = simple mean of start and end. Monthly-average is more accurate but not requested.
- COGS uses the same costing basis (FIFO, weighted average, or specific identification) as the inventory valuation.
- No adjustment for obsolete or write-down inventory.
5. Data sources
6. Known limitations
- Benchmarks differ sharply by industry. Grocers turn > 15× annually; high-end apparel may turn 3–4×.
- Seasonality masks issues: Q1 inventory totals for a Q4-heavy retailer are misleadingly low.
7. Reproducibility
Input
cogs = $1,200,000, beginning = $150,000, ending = $200,000, period = 365.
Expected output
avg_inventory = $175,000, turnover ≈ 6.86×, dio ≈ 53 days.
8. Change log
- 2026-04-24 methodology page first published.
Worked example
Run live against the same engine this site ships
(/engines/inventory-turnover-calculator.js).
The inputs and outputs below are recomputed on every build and
independently re-verified in CI — they are never hand-authored.
Input
- tool
- inventory_turnover
- cost_of_goods_sold
- 500000
- beginning_inventory
- 80000
- ending_inventory
- 70000
- period
- annual
Output
- averageInventory
- 75000
- turnoverRatio
- 6.67
- dsi
- 54.72
- annualizedTurnover
- 6.67
- rating
- healthy
- ratingLabel
- Healthy Turnover
- ratingNote
- Inventory is cycling at a solid pace. Monitor DSI trends to stay ahead of demand shifts.
- benchmarks[0].industry
- Grocery
- benchmarks[0].min
- 14
- benchmarks[0].max
- 20
- benchmarks[1].industry
- Retail
- benchmarks[1].min
- 8
- benchmarks[1].max
- 12
- benchmarks[2].industry
- E-Commerce
- benchmarks[2].min
- 6
- benchmarks[2].max
- 10
- benchmarks[3].industry
- Manufacturing
- benchmarks[3].min
- 4
- benchmarks[3].max
- 8
- benchmarks[4].industry
- Wholesale
- benchmarks[4].min
- 5
- benchmarks[4].max
- 9
- benchmarks[5].industry
- Automotive
- benchmarks[5].min
- 3
- benchmarks[5].max
- 6
- assumptionsEcho.cogs
- 500000
- assumptionsEcho.averageInventory
- 75000
- assumptionsEcho.period
- annual
Frequently asked questions
- What does the Inventory Turnover Calculator calculate?
- Calculates inventory turnover (COGS / average inventory) and days inventory outstanding. It is a trailing indicator and does not forecast demand or recommend re-order points.
- What inputs does the Inventory Turnover Calculator need?
- It takes 4 inputs: cogs, beginningInventory, endingInventory, periodDays (default 365). Outputs returned: averageInventory, turnover, daysInventoryOutstanding.
- What formula does the Inventory Turnover Calculator use?
- The exact computation is: avg_inventory = (beginning + ending) / 2; turnover = cogs / avg_inventory; dio = period_days / turnover
- Can I verify the Inventory Turnover Calculator with a worked example?
- Yes. With cogs = $1,200,000, beginning = $150,000, ending = $200,000, period = 365. the tool returns avg_inventory = $175,000, turnover ≈ 6.86×, dio ≈ 53 days.
- Where does the Inventory Turnover Calculator get its benchmark data?
- Reference data is sourced from: US Census Bureau — Manufacturing and Trade Inventories and Sales (M3) (as of 2024).
- What can the Inventory Turnover Calculator not tell me?
- Known limitations: Benchmarks differ sharply by industry. Grocers turn > 15× annually; high-end apparel may turn 3–4×. Seasonality masks issues: Q1 inventory totals for a Q4-heavy retailer are misleadingly low.