Trends · data through September 2026

Sneakers & Athletic Brands in North Carolina

Iceflower tracks 209 stores from 19 sneakers & athletic brands in North Carolina. New Balance grew fastest over the last year, ahead of Fleet Feet and Nike.

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
19
Tracked stores
209
Consumer panel
130M+

Growth ranking

Fastest-growing tracked sneakers & athletic brands

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. New Balance and Fleet Feet sit in the high-growth half.

# Chain YoY growth
RankChainRank movementYoY growth
1 N New Balance logo New Balance ▲1 +17.9%
2 F Fleet Feet logo Fleet Feet - +8.2%
3 N Nike logo Nike ▲1 +7.7%
4 A Authentiks - +7.0%
5 S SNIPES logo SNIPES ▲1 +0.2%
6 H Hibbett Sports logo Hibbett Sports ▼1 -0.4%
7 D DTLR logo DTLR - -3.5%
8 F Foot Locker logo Foot Locker - -4.1%
9 J JD Sports logo JD Sports ▲1 -7.5%
10 F Finish Line logo Finish Line ▼1 -30.9%
11 R Reebok logo Reebok - -50.0%
12 U Under Armour logo Under Armour ▼2 -68.7%
  • Foot Locker
  • Nike
  • Hibbett Sports
  • Fleet Feet
  • DTLR
  • Champs Sports
  • SNIPES
  • Other tracked chains

Store footprint

Store map

209 tracked store locations in North Carolina. The 7 largest tracked chains are highlighted.

  • Foot Locker (30)
  • Nike (6)
  • Hibbett Sports (60)
  • Fleet Feet (17)
  • DTLR (14)
  • Champs Sports (7)
  • SNIPES (13)
  • Other tracked chains

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 →