Retail Inventory Statistics 2026: 44+ Data Points on Stockouts, Overstock, Fulfillment, and Supply Chain Planning



U.S. retail ecommerce sales reached $326.7 billion in Q1 2026, up 9.8% from Q1 2025, and ecommerce now accounts for 16.9% of total U.S. retail sales (U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026).
That growth is good news for online retailers, but it makes inventory mistakes more expensive. In April 2026, U.S. retailers were carrying $827.2 billion in inventory against $655.9 billion in monthly sales (U.S. Census Bureau, Manufacturing and Trade Inventories and Sales April 2026). Meanwhile, fresh-retail research shows late-day stockout probabilities can rise from below 2% after morning restocking to 26% by 8 PM when demand, perishability, and replenishment timing collide (FreshRetailNet-50K, 2025).
We aggregated data from the U.S. Census Bureau, UN Trade and Development, Baymard Institute, academic retail forecasting studies, and shipping research to give ecommerce teams a current view of inventory pressure in 2026.
Ecommerce now represents 16.9% of U.S. retail sales, but the operational reality is bigger than a channel-share number. More online demand means more SKU-level volatility, more split inventory across locations, and less room for slow inventory updates.
For Shopify and Shopify Plus merchants, this is where inventory forecasting becomes an operating system problem, not a spreadsheet problem.
| Metric | Value | Source |
|---|---|---|
| U.S. retail ecommerce sales, seasonally adjusted | $326.7 billion in Q1 2026 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Ecommerce growth from prior quarter | +2.7% in Q1 2026 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Ecommerce growth from prior year | +9.8% vs. Q1 2025 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Total retail sales, seasonally adjusted | $1.929 trillion in Q1 2026 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Total retail sales growth from prior year | +3.9% vs. Q1 2025 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Ecommerce share of total retail sales | 16.9% in Q1 2026 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
| Not-adjusted ecommerce sales | $302.3 billion in Q1 2026 | U.S. Census Bureau, Quarterly Retail E-Commerce Sales Q1 2026 |
Retailers do not carry inventory risk evenly. Department stores had a 2.63 inventory-to-sales ratio in April 2026, while food and beverage stores sat at 0.75. That gap matters because “too much inventory” means different things by category: apparel ties up cash in sizes and colors, while food inventory turns quickly but punishes stockouts and spoilage.
| Metric | Value | Source |
|---|---|---|
| Total U.S. business inventories | $2.727 trillion in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| Total business inventory-to-sales ratio | 1.31 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| U.S. retail inventories | $827.2 billion in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| U.S. retail inventory-to-sales ratio | 1.26 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| Retail inventory-to-sales ratio excluding motor vehicles | 1.09 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| Clothing and accessories inventory-to-sales ratio | 2.13 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| Department store inventory-to-sales ratio | 2.63 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
| Food and beverage store inventory-to-sales ratio | 0.75 in April 2026 | U.S. Census Bureau, MTIS April 2026 |
For brands carrying seasonal depth, variant-heavy products, or supplier minimums, replenishment planning has to account for both stock cover and cash cover.
The worst stockout is not only the sale you miss. It is the bad forecast you create afterward. FreshRetailNet found that reconstructing demand hidden by stockouts improved prediction accuracy by 2.73% and reduced systematic demand underestimation from 7.37% to near-zero bias.
| Metric | Value | Source |
|---|---|---|
| FreshRetailNet dataset size | 50,000 store-product time series | FreshRetailNet-50K, 2025 |
| Store coverage | 898 stores across 18 major cities | FreshRetailNet-50K, 2025 |
| Product coverage | 863 perishable SKUs | FreshRetailNet-50K, 2025 |
| Observation period | March to June 2024 | FreshRetailNet-50K, 2025 |
| Stockout probability after restocking | Below 2% after 6 AM restocking | FreshRetailNet-50K, 2025 |
| Late-day stockout probability | 26% by 8 PM | FreshRetailNet-50K, 2025 |
| Forecasting gain from recovered latent demand | +2.73% prediction accuracy | FreshRetailNet-50K, 2025 |
| Bias reduction from demand recovery | 7.37% underestimation to near-zero bias | FreshRetailNet-50K, 2025 |
The same logic applies to non-perishable ecommerce. If a bestseller is out of stock for three days, sales data underreports demand; the next reorder can be too small unless the forecast treats stockouts as censored demand.
A 2025 grocery study found an 11% store-wide sales lift after stockcounts, with the lift concentrated on products where the system showed more inventory than the store actually had. That is the operational trap: the merchant believes the product is available, the forecast believes demand is low, and customers see “sold out” in practice.
| Metric | Value | Source |
|---|---|---|
| SKUs analyzed in grocery inventory accuracy study | About 24,000 SKUs | Rekik et al., Inventory Record Inaccuracy in Grocery Retailing 2025 |
| Stores analyzed | 11 stores | Rekik et al., 2025 |
| Sales lift after inventory audit | 11% store-wide lift | Rekik et al., 2025 |
| Where the lift came from | Items with negative inventory record inaccuracy | Rekik et al., 2025 |
| Inventory inaccuracy drivers | Higher inventory, restocking frequency, and perishability | Rekik et al., 2025 |
For ecommerce teams, this is why purchase order workflows and inventory updates need to stay connected. Receiving delays, partial receipts, and stale incoming-stock dates can all create the same false-availability problem.
Inventory planning now shows up before checkout. Baymard found 39% of online shoppers abandoned carts because extra costs were too high, and 21% abandoned because delivery was too slow. That means inventory location, shipping promise, and stock availability are conversion factors, not just operations metrics.
| Metric | Value | Source |
|---|---|---|
| Average documented cart abandonment rate | 70.22% | Baymard Institute, Cart Abandonment Rate Statistics 2026 |
| Number of studies averaged | 50 studies | Baymard Institute, 2026 |
| Abandoned because extra costs were too high | 39% | Baymard Institute, 2026 |
| Abandoned because delivery was too slow | 21% | Baymard Institute, 2026 |
| Abandoned because returns policy was unsatisfactory | 15% | Baymard Institute, 2026 |
| Potential conversion-rate increase from checkout improvements | 35.26% for large ecommerce sites | Baymard Institute, 2026 |
When demand spikes, backorders and preorders can protect revenue only if customers see credible delivery dates. The promise depends on purchase orders, freight timing, and real incoming inventory.
Inventory does not stop moving when the customer buys. Baymard found 15% of online shoppers abandon carts because the returns policy is not satisfactory, while UNCTAD found freight disruption raised container ship demand by 12%. Returns create uncertain inbound inventory; freight volatility changes when inventory is actually available to sell.
| Metric | Value | Source |
|---|---|---|
| Unsatisfactory returns policy | 15% | Baymard Institute, 2026 |
| Maritime share of world trade volume | Over 80% | UNCTAD, Review of Maritime Transport 2024 |
| Global maritime trade volume | 12.3 billion tons in 2023 | UNCTAD, 2024 |
| Container ship demand effect from rerouting | +12% | UNCTAD, 2024 |
Freight uncertainty is not a separate finance line. It changes reorder timing, safety stock, and whether a merchant should sell through, hold inventory, or open preorders. That is where a freight planner belongs in the same planning conversation as stock cover.
A 2025 delivery-delay study estimated that foreign-input delays increased by 21 days from 2018 to 2024, helping explain why firms kept higher inventories even while sourcing distances fell. When delivery timing gets less reliable, merchants hold more inventory to protect availability.
| Metric | Value | Source |
|---|---|---|
| Increase in foreign-input delivery delays | +21 days from 2018 to 2024 | Carreras-Valle and Ferrari, The Cost of Delivery Delays 2025 |
| Output loss from tariffs plus delivery delays | -7.3% | Carreras-Valle and Ferrari, 2025 |
| Price increase from tariffs plus delivery delays | +1.8% | Carreras-Valle and Ferrari, 2025 |
| Output loss from delivery delays alone | -2.6% | Carreras-Valle and Ferrari, 2025 |
| Added input inventory carried | +3 days of sales by 2024 vs. 2018 | Carreras-Valle and Ferrari, 2025 |
| Air freight rates | 37% higher in 2024 than 2018 | Carreras-Valle and Ferrari, 2025 |
The planning takeaway is not “carry more stock everywhere.” It is to separate reliable core replenishment from volatile, long-lead, seasonal, or imported items. Those groups need different reorder points and different risk buffers.
| Metric | Value | Source |
|---|---|---|
| U.S. retail ecommerce sales | $326.7 billion in Q1 2026 | U.S. Census Bureau, Q1 2026 |
| Ecommerce share of U.S. retail sales | 16.9% | U.S. Census Bureau, Q1 2026 |
| U.S. retail inventories | $827.2 billion | U.S. Census Bureau, April 2026 |
| Department store inventory-to-sales ratio | 2.63 | U.S. Census Bureau, April 2026 |
| Late-day fresh-retail stockout probability | 26% | FreshRetailNet-50K, 2025 |
| Forecasting gain from stockout-aware demand recovery | +2.73% accuracy | FreshRetailNet-50K, 2025 |
| Sales lift after grocery inventory audits | 11% | Rekik et al., 2025 |
| Average cart abandonment rate | 70.22% | Baymard Institute, 2026 |
| Abandonment due to high extra costs | 39% | Baymard Institute, 2026 |
| Abandonment due to slow delivery | 21% | Baymard Institute, 2026 |
| World trade carried by sea | Over 80% | UNCTAD, 2024 |
| Container ship demand effect from rerouting | +12% | UNCTAD, 2024 |
| Increase in foreign-input delivery delays | +21 days | Carreras-Valle and Ferrari, 2025 |
This roundup prioritizes primary sources, official datasets, academic papers, and reputable research aggregators with visible methodology. We excluded unsourced statistics listicles and did not use proprietary Fabrikatör data.
We update statistics pages quarterly. Most operational and market data comes from 2025-2026 sources. The UNCTAD maritime figures are from 2024 and are the most recent available global maritime source used here.