Signing a retail lease without running the numbers is one of the most expensive mistakes in brick-and-mortar business. Over 15,000 store closures in 2025 were tied to poor location economics, and most trace back to two things: rent that looked manageable but wasn’t, and trade areas smaller than expected. (ICSC)
This rent-to-sales ratio calculator lets you test any location against 2026 occupancy cost benchmarks before you commit. Run your numbers first, then use the benchmarks and analysis below to understand what the results mean for your category.
The 2026 Retail Market
National retail vacancy is hovering near historic lows. CoStar projects it to peak just under 4.4% in early 2026 before declining again, kept tight by minimal new construction and steady demand from grocery, value, and service tenants. (CoStar, CBRE) Landlords have leverage, and available spaces often carry rents that demand strong sales to justify.
It’s a barbell market. Luxury brands and deep discounters like Aldi and TJ Maxx are expanding fast at both ends of the price spectrum, while mid-tier retailers like Macy’s continue to close locations. Mid-tier is getting squeezed from both directions. If you’re not in one of those camps, your location has to work harder. (eMarketer, AlixPartners)
Retail asking rents grew 1.9% year-over-year nationally as of mid-2025, in line with pre-pandemic averages, but that figure hides huge variance by category and market. Manhattan high-street retail runs over $91 per square foot. Sunbelt secondary markets often come in well below the national average. (CBRE Retail Rent Dynamics 2025)
Rent-to-sales calculator
Model the occupancy cost before you sign.
Adjust rent, occupancy extras, and distance assumptions to compare a candidate site against one nearby competitor.
Annual occupancy cost
$122,400
Occupancy cost ratio
14.4%
Watch closely
Simplified Huff capture
23.7%
Share of demand your site captures versus one nearby competitor.
How to read it
Below 10% occupancy cost is typically healthy. Between 10% and 15% means you need strong throughput. Above 15% usually needs a rent reset, a better location, or a more conservative sales plan.
How to Read Your Results
Occupancy cost ratio: total annual occupancy cost (base rent + CAM + taxes + insurance) divided by projected gross sales. Below 10% is healthy. 10–15% is the caution zone. Above 15% is where businesses fail.
Annual rent per square foot: benchmark against your local market norm. National asking rents grew 1.9% year-over-year as of mid-2025. Manhattan high-street runs over $91 per square foot; Sunbelt secondary markets often come in well below. Your market’s norm matters more than any national average. (CBRE)
Huff Model capture probability: an estimate of the demand share your location is likely to capture versus your nearest competitor. Higher means a structural advantage. Lower means you’re fighting uphill.
2026 Rent-to-Sales Benchmarks by Category
These benchmarks are drawn from industry occupancy cost data across retail categories. (InMall, Newmark Merrill)
Grocery and essentials: 2% to 4%
High-volume, low-margin. Rent needs to be nearly invisible as a cost line.
Quick-service restaurants: 8% to 12%
QSRs are leading suburban expansion in 2026. At 12%, the model works if throughput is high. Above 15%, unit economics collapse.
Specialty and boutique retail: 10% to 15%
Higher rent can be justified by premium foot traffic — but only if the location actually delivers it.
Fitness and wellness: 12% to 18%
Membership revenue adds predictability, but the 15% rule still applies to most formats.
Food and beverage (full service): 6% to 10%
Labor and food costs are higher than QSR, so occupancy cost control matters more. A 10% ratio with 30% food cost and 35% labor leaves very little room.
The Huff Model: Your Second Check
The Huff Model predicts the likelihood a consumer will choose your location over a competitor. Developed by David L. Huff and published in the Journal of Marketing in 1964, it’s still the foundation of modern trade area analysis. (Huff, 1964)
The key insight: a competitor twice as close has four times the gravitational pull. Distance friction compounds. That’s why opening 0.3 miles from an established competitor in the same category is almost always a bad idea, even if your store is larger.
The calculator uses a simplified two-store version. Real site selection requires the full model run against all competitors in the trade area. Two other factors matter just as much:
True trade areas vs. drive-time radii
A 3-mile radius is a circle, not a trade area. Real trade areas are shaped by roads, barriers, and how people actually move. A site on the wrong side of a highway can have a trade area a fraction of what the radius suggests.
MapQuery.ai surfaces all three through its AI research layer. Ask plain-English questions about any location and get structured answers with source attribution. See the competitor analysis tools comparison for how it fits a broader research workflow.
How to Use This Data Before You Sign
Run three scenarios through the calculator: base case, 20% downside on sales, and 20% upside. If the downside puts you above 15% occupancy cost, the site is too risky at that rent. Negotiate the base rent down, push for a percentage rent structure, or walk away.
Then sanity-check your sales projection. Most are optimistic. If the Huff Model says you’ll capture 30% of local demand but your projection requires 60%, something is off.
Finally, verify the competitive landscape with live data. Stale reports miss new competitors, closed anchors, and shifting foot traffic. A site that looked strong 18 months ago may have changed significantly.
Frequently Asked Questions
How do I calculate a sustainable rent-to-sales ratio for my retail category?
Divide total annual occupancy costs (base rent + CAM + taxes + insurance) by projected gross sales. Below 10% is healthy. 10–15% is the caution zone. Above 15% is where most retail businesses fail. Grocery and high-volume food can operate at 2–4%. Specialty retail should stay below 15%.
What is the Huff Model and how does it apply to retail site selection?
The Huff Model predicts how likely a consumer is to choose your location over a competitor. It weighs store size and distance. The key insight: a competitor twice as close has four times the pull, not twice. Distance compounds.
What is the barbell economy in 2026 retail?
Retail growth in 2026 is polarized. Luxury brands and deep discounters are expanding at both ends of the price spectrum. Mid-tier retailers are getting squeezed from both directions and need highly optimized locations to compete.
Why should I use AI-driven market data instead of traditional demographic
reports?
Traditional reports rely on census data that’s 2–5 years old. Migration patterns, competitor openings, and consumer habits change faster than census cycles. MapQuery.ai uses live web data and real-time mobility signals for a current picture, not a historical one.
The calculator gives you a fast read on whether a site’s occupancy cost is sustainable at your projected sales. The Huff Model adds a second check: does your location have a structural advantage, or are you fighting uphill? Both numbers matter but neither is enough on its own. The full picture needs live competitor data, real trade area mapping, and psychographic fit.
MapQuery.ai runs all of that in one place. Ask any question about a location, get a structured answer with source attribution, and build a data-backed case before you sign.
Ready to Validate Your Next Retail Site?
MapQuery.ai gives you live, street-level location intelligence pulled directly from Google Maps, Yelp, TripAdvisor, and Instagram, so you can evaluate real markets, compare nearby competitors, and begin location research with current data.