Chain · United States · data through September 2026

N No 1 Chinese Restaurant

Iceflower tracks 31 No 1 Chinese Restaurant stores across 13 US states. It ranks #45 of 9,141 tracked US Chinese chains by card spend. Its share of tracked category spend moved -21.2% over the last year.

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 stores
31
States
13
Category
Chinese
Category rank
#45

Growth

No 1 Chinese Restaurant against its category

The biggest tracked US Chinese chains by card spend, with year-over-year growth of category share. Share means a chain's slice of tracked category spend. It can decline while the chain's own sales grow. The chart tracks No 1 Chinese Restaurant's share of the category quarter by quarter, indexed to 2024 Q4 = 100.

# Chain YoY share
1 P Panda Express logo Panda Express +5.3%
2 S Steam +13.2%
3 C China Wok -3.6%
4 D Din Tai Fung logo Din Tai Fung +11.2%
5 C China King -1.6%
6 G Great Wall -6.5%
7 C China Garden -4.9%
8 H Hong Kong Restaurant -5.7%
9 N New China -6.5%
10 P Pei Wei logo Pei Wei -10.5%
45 N No 1 Chinese Restaurant -21.2%

Share of tracked category spend, indexed

100 74.6 2024 Q4 2026 Q3

Store footprint

Store map

31 tracked No 1 Chinese Restaurant locations across 13 US states.

Customer overlap

Who shops at No 1 Chinese Restaurant

Tracked chains No 1 Chinese Restaurant customers also buy from more than a similarly active shopper would, indexed to the strongest overlap (100). From real card transactions.

E East End Convenience 100
N Number One Chinese Restaurant 99
D Dover AFB Commissary logo Dover AFB Commissary 60
F Farmers International Foods 59
F Food Lion logo Food Lion 57
L Lake Gaston Pit Stop 55
F Felynn Oriental Restaurant 54
O Oceana Commissary logo Oceana Commissary 54
D Don Julio 53
M Mountain Mart 52

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 restaurants and QSR? See consumer transaction data for restaurants and QSR →