Inventory turnover benchmarks by industry (2026)
Healthy inventory turnover ratios vary wildly by industry — and the wrong target wrecks your working capital. Here are the numbers operators are actually hitting in 2026, with the math, the caveats, and what to do about your number.
"What's a good inventory turnover ratio?" is the most-asked question in any new ops director's first week. The answer is: it depends — but not in the hand-wavy way most articles let you off the hook.
Below are the actual 2026 turnover benchmarks operators in each industry are hitting, what's driving them, and how to interpret your number against them.
The formula (so we agree on the number)
turnover = COGS / average_inventory
Where:
- COGS = cost of goods sold over the period (usually 12 trailing months)
- average_inventory = the average inventory value held over that period, ideally
(beginning_inventory + ending_inventory) / 2or, better, a 12-month rolling average
A turnover of 6 means you sold through your inventory six times in the year. The reciprocal, months on hand (MOH), is often more intuitive:
months_on_hand = 12 / turnover
A turnover of 6 = 2 months on hand. A turnover of 3 = 4 months on hand. Lower is leaner. Higher is faster.
The 2026 benchmarks
These are the median ranges we've seen across customer engagements and industry data sources, normalized for company size. Use them as a starting point, not a target.
| Industry | Healthy turnover | Months on hand | What drives the number | |---|---|---|---| | Grocery / fresh food | 14–20× | 0.6–0.9 mo | Shelf life forces velocity | | Quick-service restaurant | 25–40× | 0.3–0.5 mo | Daily prep, perishables | | Apparel (fast fashion) | 5–8× | 1.5–2.4 mo | Trend cycles, deep markdowns | | Apparel (traditional) | 3–5× | 2.4–4 mo | Seasonal collections | | Consumer electronics | 6–9× | 1.3–2 mo | Product cycles, obsolescence risk | | Auto parts (OEM) | 4–7× | 1.7–3 mo | Service-level requirements | | Auto parts (aftermarket) | 3–5× | 2.4–4 mo | Long-tail SKU mix | | Industrial distribution | 4–6× | 2–3 mo | MOQ + lead-time variance | | Pharma / medical | 4–7× | 1.7–3 mo | Regulatory, lot-tracking, expiry | | Building materials | 5–8× | 1.5–2.4 mo | Seasonal demand, bulk SKUs | | CPG (non-perishable) | 8–12× | 1–1.5 mo | Steady demand, retail velocity | | E-commerce (3PL-only) | 6–10× | 1.2–2 mo | DTC pull-based ops | | B2B SaaS hardware | 2–4× | 3–6 mo | Long sales cycles, low velocity |
Two things to note before you compare yourself to the table:
- These are medians, not aspirations. Top-quartile operators routinely beat the high end. Bottom-quartile operators run at 30–50% of these numbers and bleed cash.
- Your mix matters more than your industry label. A "consumer electronics" company with 40% accessories (high turnover) and 60% premium drones (low turnover) lands wherever the blend points.
How to read your number
Once you know your turnover, three diagnostic questions:
1. Is it stable? A turnover that drops from 7 to 4 over two years is a slow-motion working-capital crisis. Most balance-sheet inventory problems show up here first, eighteen months before they show up in cash.
2. Where is the drag? Calculate turnover per ABC class. If your A-items (top 20% of revenue) turn at 12× but C-items turn at 1.5×, your problem isn't industry — it's deadstock concentration in the long tail. (For how to find that, see How to find deadstock in 5 minutes.)
3. What changes the number? Most operators reach for "buy less," which works but is slow. Faster levers:
- Liquidate the bottom-decile SKUs (markdown plans, supplier returns, B-stock channels)
- Tighten MOQs on slow-movers
- Push deadstock to the warehouse with the highest stockout risk for that SKU (multi-location transfers)
- Raise the service-level target on A-items, lower it on C-items
The trap of optimizing only for turnover
Higher turnover isn't always better. Push too hard and you'll start stocking out — the service-level cost of a high turnover ratio is the part no one talks about.
The right framing: target a turnover range that hits your service-level target at the lowest carrying cost. The math is in your safety stock formula — turnover is the outcome of getting that math right, not the input you optimize directly.
What Tropix Palm tells you about your turnover
The Control Tower exec dashboard in Tropix Palm shows your turnover trend over time, broken out by ABC class and location, with a per-SKU drilldown to the specific SKUs dragging the blended number down. The deadstock module then converts those laggards into a prioritized liquidation plan.
If you want to see your number against the benchmarks above, run the Free Diagnostic. It runs in under five minutes on a CSV of your inventory + sales, no card required.
For the full action plan with markdown tiers and supplier returns, see pricing — Starter is $149/month and most operators recover the cost on the first liquidation.