Inventory Turnover Benchmarks by Retail Category: A Source-Checked Comparison

TL;DR

Why Most Inventory Turnover Benchmarks Are Wrong (And How to Read This One)

The common "industry average turnover" shortcut often puts two unlike ratios in the same sentence. One number is COGS divided by average inventory. Another is a sales-based inventory-to-sales ratio. A third may be a vendor dashboard measure with an undisclosed denominator.

That makes many published comparisons unsuitable for financial benchmarking. A high-margin accessories business can appear to turn quickly if sales, rather than cost, sits in the numerator. The same substitution has less effect for a low-margin retailer. The resulting ranking is partly a gross-margin ranking, not an inventory-flow ranking.

This comparison uses only the accounting definition:

Inventory Turnover = COGS ÷ Average Inventory

Inventory Days = 365 ÷ Inventory Turnover

Average inventory is the arithmetic mean of beginning and ending inventory. This is deliberately simple and reproducible from annual filings. It is not a replacement for a monthly weighted average when a business has large seasonal buildups.

The measurement-basis problem matters most when someone tries to use the U.S. Census Bureau series as a turn rate. Census defines inventories as merchandise held for sale at cost at the last day of the report period, subject to its survey valuation conventions. Its inventories-to-sales ratio is the relationship of end-of-month inventory to monthly sales, and Census describes it as months of sales on hand.[1]

A jewelry brand with 2x to 3x annual turnover is not automatically underperforming. A high-SKU, high-margin assortment may rationally carry depth in sizes, stones, finishes, gifting occasions, and seasonal presentation. Pushing turns higher through premature clearance can remove gross margin faster than it releases working capital. Retail inventory work therefore needs a joint view of demand, markdown exposure, and the cost of inventory, not a turns target in isolation.[6]

At Branvas, we often see new founders benchmark accessories inventory against apparel figures. That comparison usually changes the wrong operational lever.

The Branvas Inventory Benchmark Methodology

The Source-Checked Retail Turns (SCRT) Framework is Branvas's approach to making a category comparison auditable rather than merely plausible. It starts with a narrow question: can each numerator and denominator be traced to an audited annual filing on a consistent basis?

1. Source Lock. SCRT uses only annual 10-Ks or an equivalent audited annual report. COGS and inventory must be separately supportable in the filing. Williams-Sonoma is excluded because its filing presents net revenues and gross profit but does not separately disclose COGS. SCRT does not back into COGS from revenue less gross profit.

2. Period Alignment. The sample uses FY2024 where available, although retailer fiscal years end on different calendar dates. Several periods end in early 2025. Gap, American Eagle, and Five Below use retail calendars; Signet's FY2024 had 53 weeks; and Hanesbrands' period reflects a materially changed business following divestitures. Those facts do not invalidate the figures, but they matter when comparing close calls.

3. Average Inventory Calculation. Average inventory equals opening inventory plus closing inventory, divided by two. Opening inventory is the prior year's audited ending balance. The Ulta row uses disclosed gross inventories less disclosed valuation reserves to obtain the carrying balance. Pandora is reported in Danish kroner, then converted to U.S. dollars at the World Bank's 2024 official annual-average rate for display only; its turnover is calculated directly from DKK inputs, so foreign-exchange conversion does not change the ratio.[5]

4. Benchmark Labeling. Every result is labeled a public-company benchmark. It is directional reference for a finance professional, buyer, or operator. It is not a small-business quota, a forecast, or a claim about an appropriate stock level without adjustments for business model, margin, and lead time.

SEC EDGAR's Company Facts API aggregates XBRL facts from annual filings, while the linked 10-K or annual-report source in each row is the primary record used for the inputs.[3]

Inventory Turnover Benchmarks by Retail Category

All figures below use FY2024 audited inputs in millions of U.S. dollars, except that Pandora's reported DKK amounts are converted for display as explained above. Turns and days are calculated from unrounded inputs.

Apparel

The apparel median is 3.3x, or 110 days. The range is wide because the sample mixes value-oriented mass apparel, branded wholesale, specialty fashion, and luxury accessories under a single editorial category.

American Eagle's 5.1x result sits above the sample median, while Tapestry's 2.0x sits below it. Calendar structure, wholesale mix, product durability, and holiday inventory staging all influence the gap, so the median is a reference point rather than a performance league table.

Accessories / Jewelry

The accessories / jewelry median is 1.8x, or 202 days, the lowest turns and longest days result in the set. Jewelry and watches often support deeper, slower-selling assortments and can have substantial unit value relative to annual COGS.

Pandora, Movado, and Vera Bradley anchor the lower end, while Signet and Fossil are higher. That pattern is consistent with the point that an accessories operator should distinguish stock depth and product economics from an undifferentiated "turn faster" mandate.

Beauty & Personal Care

The beauty / personal-care median is 2.0x, or 182 days. Ulta is an outlier at 4.2x, reflecting the operating model of a large specialty retailer and its mix of replenishable categories.

The rest of the group includes brand owners and distributors as well as retail operators. Their figures are still valid COGS-based observations, but the category should be read as a public-company comparison set, not a pure store-format benchmark.

Home & Housewares

The home / housewares median is 2.8x, or 131 days. Haverty and Arhaus are above RH in this FY2024 snapshot, while RH's ending inventory rose meaningfully, lowering its annual average-turn result.

Furniture and home assortments can require floor display, delivery availability, vendor lead-time buffers, and long product lifecycles. These structural features can make a lower turn rate economically reasonable if gross margin and service levels support it.

Specialty / Other Retail

The specialty / other median is 2.6x, or 140 days. Five Below's 4.1x reflects a fast-turning value format, while Boot Barn's 1.8x shows how size, season, and broader footwear and apparel depth can extend stockholding.

Ollie's sits between them. Its closeout model can create opportunistic purchase timing that does not map neatly to a conventional replenishment retailer's benchmark.

All figures are COGS-based (COGS ÷ Average Inventory). Public-company benchmarks only. See methodology section for inclusion criteria.

Exclusions. Williams-Sonoma is not used because COGS is not separately disclosed. Tuesday Morning is not used because it filed for Chapter 11 in February 2023, so no clean FY2023 or FY2024 annual comparison is available.[8]

A Worked Example: How to Apply These Benchmarks to a Small Accessories Brand

Consider Mira Collective, a fictional jewelry and accessories brand. It has annual COGS of $180,000, beginning inventory of $45,000, and ending inventory of $55,000.

First calculate average inventory:

Average inventory = ($45,000 + $55,000) ÷ 2 = $50,000

Then calculate annual turnover:

Inventory turnover = $180,000 ÷ $50,000 = 3.6x

Finally calculate inventory days:

Inventory days = 365 ÷ 3.6 = 101 days

Mira's 3.6x is faster than the accessories / jewelry public-company median of 1.8x. That does not prove it is better. Mira may have fewer SKUs, shorter supplier lead times, lower depth per variant, or a made-to-order component. It may also be understocked and sacrificing conversion during a gifting peak.

The useful next question is whether the faster result came with healthy in-stock rates, acceptable margin, and repeatable demand. A small brand should test that question at the SKU and collection level before expanding its buy.

One structural reason small jewelry brands can carry less inventory risk is supplier-level sourcing and blind shipment directly to the customer. Learn how this model works →

U.S. Census Inventory-to-Sales Ratios: What They Measure (And What They Don't)

The Census Bureau's Monthly Retail Trade Survey publishes inventory-to-sales ratios, not COGS-based turnover. Its calculation is:

Inventory-to-Sales Ratio = End-of-Month Inventory ÷ Monthly Sales

Both measures are retail survey estimates, not an individual company's audited financial statements. Census describes the ratio as an indication of months of inventory on hand in relation to one month of sales. It also notes that its inventory estimates are at cost, while the sales denominator is retail sales.[1]

Source: U.S. Census Bureau, Estimates of End-of-Month Retail Inventories and Inventories/Sales Ratios by Kind of Business: January 1992 Through July 2026.[2] Census states that current inventory estimates are available only for 44000, 4400A, 441, 4423X, 444, 445, 448, 452, and 4522. That is why NAICS 446 and 451 are shown as unavailable rather than replaced with a proxy.[4]

A rough conversion requires more than multiplying the Census number by 12. You would need a gross-margin assumption to convert sales toward a cost basis, and you would still be comparing end-of-period inventory with an annual average inventory. Seasonal adjustment, retailer mix, and survey valuation conventions add more differences.

That is why it is incorrect to cite a Census ratio as an accounting turnover rate. For a high-margin category, treating a sales-based ratio as COGS turnover can create a large overstatement. For example, applying a 60% gross margin means cost is 40% of sales. A simple sales-to-inventory expression can be 2.5 times the comparable cost-to-inventory expression before the separate average-versus-ending-inventory issue even enters the calculation. The Richmond Fed also cautions that price changes can distort nominal inventory-to-sales comparisons over time.[7]

Spreadsheet-Ready Data: How to Use This Benchmark Set

The table below is formatted for direct copy and paste into Excel or Google Sheets. Preserve the original source URLs, then add your own business in a new row using the same definition and fiscal-period convention.

For client-facing work, verify every number against the original filing before publication. Filings can be amended, recast, or presented under a changed fiscal perimeter. The data set is designed to make that verification faster, not to replace it.

What These Benchmarks Mean for Small Brands and Ecommerce Sellers

Public-company results need adjustment before a small brand uses them. Large retailers often have broader assortment obligations, multi-country flows, physical store stock, vendor terms, and sophisticated replenishment systems. A founder may have one of those features, none of them, or a very different combination.

Track direction before level. Calculate COGS ÷ average inventory quarterly and annually. A move from 1.5x to 2.1x can matter more than whether a public peer's annual median is 1.8x or 2.6x.

Identify the inventory model. A traditional wholesale buy, a stocked direct-to-consumer model, a made-to-order model, and a supplier-managed fulfillment model carry inventory in different places. The accounting result should be interpreted alongside the commercial model.

Diagnose low turns before cutting stock. Low turns can indicate weak demand, overbuying, too much SKU proliferation, planned depth in a core item, or a temporary seasonal build. The right remedy varies. Blanket markdowns may improve turns while damaging contribution margin and future demand.

Use margin and cash together. Turns are a working-capital metric, not a standalone profit metric. The relevant decision is often whether the next inventory dollar creates enough margin and availability to justify its cash and obsolescence risk. A profit calculator can help connect the unit economics to that decision.

In our experience, founders who focus on their own turn trajectory rather than hitting a competitor's benchmark make better restocking decisions in the first 12 months.

If you are building a jewelry or accessories brand, an inventory-light launch model can leave sourcing, packaging, and blind fulfillment to a specialist so you can focus on brand and demand. See how it works for founders →

Frequently Asked Questions

What is a good inventory turnover ratio for retail?

There is no single good ratio for retail. In this public-company FY2024 set, the category medians run from 1.8x for accessories / jewelry to 3.3x for apparel, but the company ranges within each group are material. A good result is one that supports your in-stock position, margin, cash cycle, and demand pattern. Use an external figure as a diagnostic reference after establishing a consistent internal history.

How is inventory turnover different from the inventory-to-sales ratio?

Inventory turnover uses COGS divided by average inventory over a period. The Census inventory-to-sales ratio uses end-of-month inventory divided by monthly sales, and is often read as months of sales on hand.[1] The formulas have different denominators, time bases, and purposes. Do not treat one as the inverse of the other without a stated conversion methodology.

Why do jewelry and accessories stores have lower inventory turnover than apparel?

Jewelry, watches, and fashion accessories often need a broader visual and variant assortment relative to unit demand. Higher product value, lower replenishment frequency, gifting cadence, and a deliberate desire to avoid stockouts in core styles can also increase average inventory. Lower turns are not necessarily a problem when margin, markdown risk, and cash conversion remain sound. The 1.8x accessories / jewelry median in this sample should be read in that context.

How do I calculate inventory turnover for my small business?

Use annual or trailing-12-month COGS, not revenue. Add beginning and ending inventory at cost and divide by two, then divide COGS by that average. If inventory changes sharply through the year, calculate a monthly average as a management refinement. Keep the inventory valuation method and the period consistent from one calculation to the next.

What is the average inventory turnover ratio for the retail industry overall?

An overall retail average is usually too broad to guide a buying decision. This sample spans 1.4x to 5.1x across audited public companies, even before including grocery, automotive, or ecommerce marketplaces. A category-specific, COGS-based sample is more informative than a blended average. If a macro view is needed, keep Census inventory-to-sales ratios in a separate comparison because they are not accounting turnover figures.

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