What is Retail Shrinkage?

Shrink is expensive in a way that is easy to underrate. It does not reduce revenue, it removes goods you already paid for, so it lands straight on gross profit with no offsetting sale.

It also corrupts the stock records that reordering runs on, so one loss quietly creates a second one. Here is the formula, what genuinely causes shrink according to the primary source, and why recent benchmark figures circulating online deserve suspicion.

What is Retail Shrinkage? The Basics

Shrink is a difference, not an event. Your system holds a book value for what should be on the shelves, a physical count produces the actual value, and the unexplained gap between the two is shrinkage.

The word “unexplained” carries the definition. A markdown is not shrink, because the price cut is recorded and the sale still happens. A written-off damaged item is not shrink once it has been logged as a write-off. Shrink is what remains once everything explainable has been explained: goods that left the building with no sale, no return and no record.

Two more points matter for measurement. Shrink is valued at cost, not at retail price, because the loss to your business is what the goods cost to buy, not what they might have sold for. And shrink is only visible after a count. A store that never counts has no shrink figure at all, only a growing gap it has not looked at yet, which is why cycle counting is the first control any store should put in place.

How to Calculate Your Shrink Rate

The internal formula is a subtraction and a division:

1. Shrinkage = Recorded Inventory – Actual Inventory, both at cost.
2. Shrink Percentage = (Shrinkage / Recorded Inventory) x 100.

Take a mid-size home goods store. Its POS and inventory system say it holds $500,000 of stock at cost. A full year-end physical count finds $480,000 actually present across the shop floor and the stockroom. Sales for the year were $2,400,000.

The dollar loss is $500,000 minus $480,000 = $20,000. The inventory-based shrink rate is ($20,000 / $500,000) x 100 = 4.0%.

Now calculate it the way industry benchmarks do, as a share of sales: $20,000 / $2,400,000 = 0.83% of sales.

Both numbers describe the same $20,000. They differ by a factor of nearly five because one is measured against stock held and the other against total revenue. Before comparing your shrink rate to any published figure, check which of the two formulas that figure used, because the industry headline is always the sales-based one.

For this store, 0.83% of sales looks comfortable against the industry average. The 4.0% inventory figure is the one your own buyers should be tracking period to period, since it is not diluted by sales volume. Run the same calculation by department rather than storewide wherever the count allows it. A 4.0% storewide rate can easily be one category at 12% and the rest at almost nothing, and only the department view shows which.

What Actually Causes Shrink

The figures below come from the National Retail Federation’s National Retail Security Survey covering fiscal year 2022, which asked retailers to attribute their own shrink losses.

Cause	Share of shrink	What it covers
External theft	36%	Shoplifting and organized retail crime
Internal theft	29%	Theft by employees
Process and control failures	27%	Receiving errors, mispricing, paperwork and counting mistakes
Unknown	6%	Losses the retailer could not attribute
Other	1%	Expired goods, vendor and third-party losses, claims

Those five shares add to 99% rather than 100%, an artifact of rounding in the published report.

Theft in both directions accounts for 65% of shrink. But the 27% attributed to process and control failures is the share retailers consistently underestimate, and it is the only one a small store can fix without confronting anybody.

Those failures are ordinary: a delivery signed for without being checked, a case counted as a unit, a return processed against the wrong code, a price entered twice. None of them look like a loss on the day they happen, which is why they accumulate.

One correction is worth making. Many explainers present shrink as four roughly equal buckets, the fourth being vendor or supplier fraud with its own percentage. The primary source does not report vendor fraud separately. Vendor and third-party losses are folded into the 1% “other” category alongside expired goods and claims. Any page showing vendor fraud as a standalone 5% or 9% slice is not quoting the survey it credits.

What the Benchmark Numbers Really Say

The last complete industry picture reported an average shrink rate of 1.6% of sales and a median of 1.4%, totaling $112.1 billion across US retail, up from $93.9 billion the year before. The data covers fiscal year 2022 and was published in September 2023.

The 1.6% average is pulled up by a minority of high-shrink respondents, so 1.4% is the better description of a typical retailer.

Then the reporting stopped. That 2023 edition was the 32nd and, so far, the final National Retail Security Survey. In October 2024 the National Retail Federation confirmed it would not publish the survey that year, saying a broad study of retail shrink was no longer sufficient for capturing the industry’s key challenges and needs.

Its replacement is a narrower annual study on the impact of retail theft and violence, published most recently in October 2025 and drawn from 70 companies covering 168 brands and $1.3 trillion in sales, roughly a quarter of US retail. It does not publish an overall shrink rate.

Any article quoting a 2024 or 2025 national shrink percentage is citing a report that does not exist; a “1.68% rate from the 2024 National Retail Security Survey” circulates widely with no source behind it. Fiscal year 2022 is the most recent year with a defensible national figure, and your own trend line matters more than a stale national average anyway.

Shrink by Store Type

Sector variation in that same fiscal year 2022 survey was wider than any single national average suggests, which is what makes the headline number a poor target for an individual store.

• Above 2%: pharmacy, grocery, department stores and mass merchandise. High-volume formats with open shelves, small resellable items and large staff counts.
• 1.9%: specialty apparel, where fitting rooms and a high unit count per transaction both create opportunity.
• 1.5% or lower: jewelry, watches, home furnishings and furniture, and footwear. Higher-value goods that are typically locked, tagged, counted more often, or simply too bulky to walk out with.

The pattern is about product form, not about honesty. Items that are small, valuable and easy to conceal produce more shrink regardless of the store selling them.

Store format does the rest of the work. A pharmacy aisle is designed for self-service across thousands of small units, while a furniture floor holds a few hundred large ones that cannot leave unnoticed. These sector rates carry the same age caveat as the headline figure.

Reducing Shrink in a Small Store

Start with process, because process and control failures are 27% of the reported total and fixing them costs nothing but discipline.

• Count a slice of the store every week. Rolling cycle counts catch a discrepancy while the paperwork and the people involved are still recallable, unlike an annual count that surfaces a year of losses at once.
• Check deliveries against the purchase order, unit by unit. Signing for a pallet nobody opened is one of the most common ways stock goes missing before it ever reaches the floor.
• Restrict POS permissions by role. Voids, manual discounts, price overrides and refunds should require a manager code, and every one of them should be logged against a named user.
• Review the void and no-sale report weekly. A single till accounting for most of the voids is the clearest signal internal theft leaves behind.
• Secure by product, not by category. Lock or tag the small, high-value items the sector data points to rather than hardening the whole shop floor.

Before you spend on anything new, a thorough pass through POS security features on the system you already run often yields the biggest return. Broader loss prevention programs build on exactly these controls.

Solutions That Track or Reduce Shrink

Three platforms surface the gap between recorded and actual stock.

Lightspeed Retail

Lightspeed Retail automates inventory audits and surfaces sales-report anomalies. In one published case study, store owners caught employee theft the same day the system was deployed.

Square for Retail

Square for Retail ties inventory tracking directly to the POS, so the difference between the count and the recorded stock becomes visible quickly, which is the core data for a shrink rate.

SkuVault

SkuVault is built around cycle counting and per-SKU reconciliation, the operational mechanism for measuring and reducing shrink.

Shrink and Your Margins

Shrink shows up in your accounts as an increase in cost of goods sold. The goods were bought and are gone, so the cost stays on the books while the matching sale never arrives, and gross margin absorbs the whole difference.

That is why the recovery arithmetic is unforgiving. If the home goods store above works on a 40% gross margin, replacing $20,000 of lost gross profit takes $50,000 of additional sales, because $50,000 x 40% = $20,000. On $2,400,000 of annual sales, that is a bit over 2% of extra revenue needed just to stand still. Cutting the shrink instead is cheaper than selling your way out of it, every time.

The second cost is quieter. A system that believes it holds more stock than the shelves contain will delay reorders, so the original loss turns into stockouts on the items that were selling well enough to be worth stealing. How stock is valued shapes the size of the write-off too, which the methods of inventory valuation entry covers in detail.

Related Terms

These entries cover the controls that measure shrink and the accounts it lands in:

• What is Loss Prevention?
• What is Cycle Counting?
• What is a Retail Audit?
• What is Cost of Goods Sold (COGS)?
• What is Dead Stock?