The speed-of-sale metric every buyer, planner and category manager reads before touching pricing or reorder decisions. Sell-through rate measures the percent of received units that actually sold across the measurement window. High sell-through means the buy is working. Low sell-through means the inventory is aging faster than expected and the markdown clock is running. Enter units sold and units received and the STR percent arrives next to remaining units, weekly sell rate, and projected weeks to both 80 percent and 100 percent sell-through, with a plain-English band saying whether the buy is on pace. The point of the band is to be acted on, not filed.
Units sold across the measurement period. Use the same window (weeks, month, season) for both inputs.
Total units received into stock during the period, or beginning-of-period stock plus mid-period receipts. For a season, this is the full committed buy.
Optional. Number of weeks the sales window covers. Used to project weekly sell rate and time-to-full-sell-through. Leave blank if you only want the raw STR percent.
Sell-Through Rate
68.00%
Units Remaining
160 units
Performance Band
On pace
Weekly Sell Rate
56.7 units/week
Weeks to 80% Sell-Through
1.1 weeks
Weeks to 100% Sell-Through
2.8 weeks
Units Sold
340 units
Units Received
500 units
Formula Used
Sell-Through Rate % = (Units Sold ÷ Units Received) × 100
Interpretation & Recommendations
Sell-Through Rate % = (Units Sold ÷ Units Received) × 100
Sell-through rate answers one specific question every experienced retail buyer asks weekly: of the units I committed to buy, how many have actually sold? A 68 percent sell-through at week six of an eight-week window is a healthy buy running slightly ahead of pace. A 40 percent sell-through at the same point is inventory drifting toward markdown. The formula itself is trivial, but the discipline around it is not. Units Sold must be net of returns. Units Received must be total received to date across all mid-period receipts, not just the opening ATS (available-to-sell). Retailers who compute STR against opening ATS while ignoring mid-season receipts systematically overstate sell-through, mask over-buying, and get surprised when weeks-of-supply metrics start climbing. Get both inputs honest and STR becomes the leading indicator that catches over-buying and pricing errors before they turn into aged inventory. Read STR alongside inventory turnover (which speaks to full-year velocity) and days inventory outstanding (which speaks to cash tied up). STR is the earliest of the three signals because it operates on units and weeks, not on annualized dollars.
A specialty apparel buyer commits to 500 units of a summer denim style. The season runs 10 weeks. At the end of week 6, POS reports 340 units sold net of returns. Sell-Through Rate = (340 / 500) × 100 = 68 percent. Remaining units = 160. Weekly sell rate = 340 / 6 = 56.7 units per week. Projected weeks to 100 percent sell-through at current pace = 160 / 56.7 = 2.8 weeks, which lands inside the remaining 4-week window. This is a healthy, on-pace buy that does not need intervention. Now the what-ifs. Weekly sell rate slows to 30 units per week after a competitor drops price: remaining 160 units now take 160 / 30 = 5.3 weeks, which overshoots the season by more than a week. Trigger point for a strategic markdown reached, before aged inventory forces a reactive one. Push velocity through targeted markdown to 65 units per week from week 7 onward: 160 / 65 = 2.5 weeks to full sell-through, closes clean at end of season. Now the reverse. Buyer over-commits and receives 750 units on the same demand profile. Week 6 sell-through = 340 / 750 = 45.3 percent. Remaining = 410 units at 56.7/week means 7.2 weeks to full sell-through. Season ends in 4 weeks. The buy is roughly 240 units over-committed and heading straight for end-of-season clearance. This is the arithmetic that catches over-buying at week 6 instead of week 10. The most common misread is treating a single-point STR number as good or bad without the pace context. A 40 percent STR at week 2 of a 10-week season is ahead of pace. A 40 percent STR at week 8 is a markdown emergency. STR is a curve, not a snapshot, which is why professional buyers plot weekly STR against a target curve rather than reporting a single number in isolation.
It depends on the length of the selling window and the category. For a full season (typically 10 to 13 weeks), 80 to 95 percent full-price sell-through is considered strong. Below 60 percent by end of season usually forces markdown. For weekly reporting, benchmark against a target STR curve that reaches 80 percent by the last 20 percent of the window. Apparel and fashion tolerate higher end-of-season markdown pressure. Grocery and consumables target 95 percent-plus weekly sell-through because shelf life constrains carry.
They measure related but different things. Sell-through is a percent (units sold divided by units received) over a specific window, typically weeks to a season. Inventory turnover is a ratio (COGS divided by average inventory) over a full year. STR is the leading indicator that catches over-buying and pricing errors at week 4 or 6 of a season. Turnover is the lagging indicator that confirms whether the operating rhythm was healthy at year end. Read both. STR triggers action. Turnover reports outcomes.
Units, not dollars. STR is a unit-side metric on purpose because dollar-side sell-through gets distorted by mid-season price changes. Units received is gross physical receipts (all POs booked into stock for the period). Units sold is net of returns but gross of markdown effect. If you want the dollar-side view, compute weighted average selling price separately and report both alongside STR. Never mix them into a single number.
Wholesale and franchise-driven retail models often push STR back to suppliers as a vendor scorecard metric. Low STR on a supplier’s SKUs signals over-buying pressure from the vendor side or forecast optimism the buyer swallowed. Formal vendor scorecards typically weight STR at 20 to 30 percent alongside on-time delivery, fill rate and OTIF. The OTIF Calculator covers the delivery-quality side.
Directly. Weekly STR against a target curve is the primary trigger for markdown timing. When week-6 STR sits 10 percentage points below the target curve, most category managers trigger the first markdown. When week-8 STR is still 15 points below, a second markdown fires. The Markdown Calculator does the price math once the STR trigger has been hit. Delaying markdowns because STR looks acceptable in absolute terms (without checking against the curve) is one of the most expensive mistakes in seasonal buying.
For a 10-week season, target 8 to 10 percent per week on average, front-loaded (higher in weeks 1 to 4, lower in weeks 8 to 10). For a 13-week season, target 6 to 8 percent per week. The target curve should not be linear because seasonal demand rarely is. Newness peaks early. End of season is markdown territory. Plot the target as a curve, then track actual STR against it weekly.
Yes, and this is the failure mode that gets overlooked. STR near 100 percent well before season end almost always means the buy was too small and top-sellers stocked out. Lost sales hide behind the flattering number because sales that never happened never appear in units sold. Always pair STR with in-stock percent at the SKU level, especially for A-class items. A 95 percent season STR with 8 percent stockouts on top SKUs is worse than 85 percent STR with 0.5 percent stockouts.
GMROI is the annual profitability-per-inventory-dollar view. Sell-through is the in-season pacing view that feeds into GMROI at year end. Categories that consistently miss STR targets end up with lower turnover and higher markdown pressure, both of which pull GMROI down. STR is the operational lever. GMROI is the financial outcome. Optimizing STR by season is one of the cleanest paths to lifting GMROI without touching supplier terms.
Sell-in is what the buyer ordered from the supplier (units on the PO). Sell-through is what the customer bought from the retailer (units off the shelf). In wholesale terminology, sell-in is what the brand shipped into the retailer. Sell-through is what the retailer moved through to the consumer. Confusing the two is common in first-year wholesale conversations and produces very different negotiation positions on markdown allowance and reorder timing.
Four show up repeatedly. Computing STR against opening ATS while ignoring mid-season receipts (inflates STR). Reporting a single-point number without comparing against a target curve (masks pacing problems). Mixing unit and dollar sell-through into the same conversation (produces contradictory conclusions). And celebrating high STR without checking stockout data (celebrates lost sales as a win). The Sell-Through Rate Guide covers each with a specific fix.
Deep-dive guides that explain the math behind this calculator.
The leading indicator every seasonal buyer reads weekly. How to compute STR the right way, plot it against a target curve, and use it to catch over-buying before it turns into aged inventory.
Everything a buyer, merchandiser or category manager needs to know about markdown pricing. When to trigger a markdown, how to size it, how it affects margin and GMROI, and the mistakes that quietly bleed working capital.
OTB is not a formula, it is a weekly self-imposed spending cap. How to compute it, run it, and use it to catch drift before it becomes a mid-season markdown emergency.
The single most honest cross-category profitability metric in retail. GMROI answers one question: for every dollar of inventory you funded, how many dollars of gross profit did you get back? A high gross margin on inventory that never sells produces zero return, which is why GMROI keeps margin and inventory turnover honest against each other. The output is the GMROI ratio with gross margin percent, inventory turnover, gross profit and a plain-English performance band, because the ratio on its own tells a buyer very little.
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Set a selling price from cost or reverse-engineer the markup baked into an existing price. Markup is the buyer’s language of pricing (percent added on top of cost), while margin is the finance language (percent kept from revenue). Alongside markup percent come profit per unit, the margin equivalent and the price-to-cost multiplier. Buying and finance can then argue about the price rather than about the denominator. Departments already running the retail inventory method calculator have a cost-to-retail ratio on hand, which doubles as a fast sanity check against the markup this page returns.
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The cleanest read on how much of every sales dollar you actually keep after paying for the goods. Gross margin drives every downstream financial decision in retail: what to price, what to promote, what to keep on the shelf. Margin percent, the markup equivalent, cost as a percent of revenue and the price-to-cost multiplier all appear together, which is what it takes to translate between the three lenses without reaching for a second tool. The COGS input behind all of it depends on how inventory is valued in the first place, and a retailer using the retail inventory method will get a different COGS figure than one costing at actual unit cost, even from identical sales and purchase data.
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Measure how many times a year your average inventory sells through and gets replaced. The single most consequential operational KPI in retail. It connects buying decisions, warehouse cash, markdown risk, and finance targets into one number. The turn ratio arrives converted into days and weeks of supply, together with the working capital a one-turn improvement would release. Departments that carry stock at retail value rather than cost usually track it with a retail inventory method tracking template, which produces the same average-inventory figure this calculator needs.
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Convert your inventory position into a number finance actually reads: the average days of cash sitting on the warehouse floor. DIO is the same measurement as inventory turnover in days instead of a ratio, and it maps directly onto working capital, cash conversion cycle and reorder cadence. Four numbers come out: DIO, weeks of supply, implied turnover, and the cash a 10-day improvement would release.
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The pricing tool every buyer and merchandiser reaches for when inventory is running behind sell-through pace. Out comes the markdown amount, the markdown percent, the final selling price, and, once a cost is entered, the resulting gross profit and margin percent. It also flags whether the markdown depth is promotional, seasonal, aggressive or clearance-tier, and generates practical next-step recommendations tied to gross margin, GMROI, sell-through rate and inventory turnover. A markdown also changes the inventory value carried under the retail inventory method, so it is worth re-checking that ratio after a significant markdown event rather than waiting for the next period close.
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Paste a list of SKUs and their revenue and get an instant A / B / C classification. Use the output to set service levels, safety stock, and buying priority the way experienced planners do.
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Handpicked benchmarks, templates and guides to help you dig deeper.
Five core calculators every buyer, merchandiser and category manager reads together. Open the metric that is behind, and let the others sanity-check it.
Percent of revenue kept after paying for the goods. The anchor number on the retail P&L.
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Percent added on top of cost to reach the selling price. The buyer’s pricing language.
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Gross profit per dollar of average inventory. The honesty check on margin and turnover.
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How many times average inventory sells through in a year. The core inventory KPI.
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