Trends · data through September 2026

Retail trends in Leeds

Iceflower tracks 533 stores from 341 retail chains in Leeds. The Range grew fastest over the last year, ahead of The Works and WHSmith.

Rankings come from real card and bank transactions across a panel of 130M+ US and EU consumers. We publish relative growth and rankings, never revenue figures. About the data

Tracked chains
341
Tracked stores
533
Consumer panel
130M+

Growth ranking

Fastest-growing tracked retail chains

Ranked by year-over-year growth of share of tracked local spend. Arrows show movement in the rankings since last year. Each dot in the chart is one tracked chain: bigger market position to the right, faster growth higher up, more tracked stores in a bigger dot. Colors match the store map below. The Range and The Works sit in the high-growth half.

# Chain YoY growth
RankChainRank movementYoY growth
1 T The Range logo The Range ▲2 +14.2%
2 T The Works logo The Works - +13.0%
3 W WHSmith logo WHSmith ▲2 +13.0%
4 T Toolstation UK logo Toolstation UK - +11.2%
5 M Mountain Warehouse logo Mountain Warehouse ▲1 +9.7%
6 S Schuh logo Schuh - +8.8%
7 S Smyths Toys Superstores logo Smyths Toys Superstores ▲2 +7.8%
8 W Wickes logo Wickes - +6.9%
9 M Matalan logo Matalan - +2.7%
10 H Home Bargains - +2.7%
11 C CeX logo CeX - +0.7%
12 P Pets at Home logo Pets at Home - +0.6%
13 S Screwfix logo Screwfix - -0.0%
14 N New Look logo New Look ▼1 -0.5%
15 T The Entertainer logo The Entertainer ▲1 -1.4%

Store footprint

Store map

533 tracked store locations in Leeds, colored by category.

  • Gift Shop (38)
  • Discount Store (34)
  • Bookstore (33)
  • Home Improvement Center (26)
  • Vape & Tobacco Shops (24)
  • Discount Off-Price Stores (23)
  • Hardware Store (23)
  • Other categories

Top tracked chains by store count

More trends

Ready to see your market clearly?

Create an account, pick a plan, and explore your merchants, competitors and customers the way they actually behave.

Working in fashion, apparel and footwear? See consumer transaction data for fashion, apparel and footwear →