Kwick365The Independent Restaurant Index

Daily reading

Online orders per restaurant

Data as of — 711 restaurants, 8,791 orders. Recomputed every night.

The national reading

Online orders per restaurant

12.4

orders per active restaurant

Jul ’26AugSepOct16.411.1

Online orders per restaurant, as published each day7-day average

This chart as text

Online orders per restaurant over the last 90 days. 90 published observations, from July 16, 2026 at 12.3 to October 13, 2026 at 12.4. Sample: 711 restaurants, 8,791 orders on October 13, 2026.

Every calendar day from July 16, 2026 to October 13, 2026 carries a published observation, so the line is unbroken.

7-day average: 90 calculated points, drawn only on days the published series itself has and never across a gap. It is arithmetic on Kwick365’s published daily readings, not a measurement of its own. A point near the start of this window also averages published days from up to 6 days before the window begins. Those are published readings too, but they are neither drawn on the chart nor listed in the table below.

Online orders per restaurant over the last 90 days
DayPublished value
July 16, 202612.3
July 17, 202615.0
July 18, 202614.1
July 19, 202613.8
July 20, 202612.1
July 21, 202611.8
July 22, 202611.8
July 23, 202612.0
July 24, 202615.0
July 25, 202613.5
July 26, 202613.9
July 27, 202612.4
July 28, 202611.9
July 29, 202612.0
July 30, 202612.5
July 31, 202615.3
August 1, 202614.1
August 2, 202614.4
August 3, 202612.1
August 4, 202611.1
August 5, 202612.0
August 6, 202612.2
August 7, 202614.9
August 8, 202613.3
August 9, 202613.6
August 10, 202611.9
August 11, 202611.6
August 12, 202611.7
August 13, 202612.5
August 14, 202615.4
August 15, 202614.3
August 16, 202613.7
August 17, 202611.5
August 18, 202611.3
August 19, 202611.2
August 20, 202612.2
August 21, 202615.5
August 22, 202614.3
August 23, 202614.1
August 24, 202611.3
August 25, 202611.4
August 26, 202611.5
August 27, 202612.6
August 28, 202615.5
August 29, 202614.3
August 30, 202614.3
August 31, 202612.1
September 1, 202612.0
September 2, 202611.8
September 3, 202613.1
September 4, 202615.2
September 5, 202613.6
September 6, 202614.1
September 7, 202614.5
September 8, 202611.2
September 9, 202611.9
September 10, 202612.6
September 11, 202615.5
September 12, 202614.7
September 13, 202614.8
September 14, 202612.3
September 15, 202612.0
September 16, 202612.2
September 17, 202613.1
September 18, 202615.7
September 19, 202615.2
September 20, 202615.5
September 21, 202612.1
September 22, 202612.3
September 23, 202612.5
September 24, 202613.0
September 25, 202616.0
September 26, 202614.3
September 27, 202615.0
September 28, 202612.4
September 29, 202612.5
September 30, 202612.8
October 1, 202613.7
October 2, 202616.4
October 3, 202615.2
October 4, 202614.9
October 5, 202612.7
October 6, 202612.3
October 7, 202612.3
October 8, 202613.3
October 9, 202616.2
October 10, 202615.1
October 11, 202615.1
October 12, 202613.2
October 13, 202612.4
Online orders per restaurant, daily through October 13, 2026, over a 90-day window. The scale covers the range of the data, not zero. Days with too little data to publish are left out. The 7-day average is calculated by Kwick365 from the published daily readings, not measured separately: each point is the mean of the days that published within the 7 calendar days ending on it. It is not drawn at all where fewer than 5 of those 7 days published, so it breaks wherever the daily line breaks and never averages across a gap. Dated events are not marked on this window — across 90 days a single day is far too narrow for a mark to point at one. They are marked on the 7- and 30-day windows, and the calendar lists every one of them with its source.

+0.6% vs a week earlier+12% vs a year earlier

711 restaurants, 8,791 orders

Online orders ÷ stores with at least one online order that day.

When the orders came in

00: 0.2%0001: 0.0%02: 0.0%0203: 0.0%04: 0.0%0405: 0.0%06: 0.0%0607: 0.1%08: 0.2%0809: 0.2%10: 1.2%1011: 7.9%12: 8.1%1213: 6.0%14: 4.6%1415: 5.1%16: 8.7%1617: 14.2%18: 17.0%1819: 14.5%20: 7.7%2021: 2.7%22: 0.9%2223: 0.7%
This chart as text

Share of online orders by hour of day on October 13, 2026. 24 hours. Sample: 8,791 orders.

Share of online orders by hour of day on October 13, 2026
HourShare of the day's orders
000.2%
010.0%
020.0%
030.0%
040.0%
050.0%
060.0%
070.1%
080.2%
090.2%
101.2%
117.9%
128.1%
136.0%
144.6%
155.1%
168.7%
1714.2%
1817.0%
1914.5%
207.7%
212.7%
220.9%
230.7%
Share of the day’s completed online orders placed in each hour on October 13, 2026, across 8,791 orders. The 6 pm–7 pm hour was the busiest, taking 17.0% of the day. Times are recorded on the POS platform’s clock, not each restaurant’s local time.

Which days are busy

Mon: 12.6MonTue: 12.0TueWed: 12.0WedThu: 13.0ThuFri: 15.7FriSat: 14.6SatSun: 14.7Sun
This chart as text

Online orders per restaurant by weekday over the eight weeks to October 13, 2026. 7 weekdays. Sample: 8 days behind each weekday.

Online orders per restaurant by weekday over the eight weeks to October 13, 2026
WeekdayOrders per active restaurant
Mon12.6
Tue12.0
Wed12.0
Thu13.0
Fri15.7
Sat14.6
Sun14.7
Online orders per restaurant that took at least one online order, averaged by weekday over the eight weeks to October 13, 2026 — 8 days behind each weekday. The busiest was Fri at 15.7 orders per restaurant, the quietest Tue at 12.0. Each day is divided by its own active-restaurant count before averaging, so a busier Friday is not just a Friday with more restaurants open. The bars start at zero.

Where it publishes

A reading publishes for a place only on a day that clears 30 restaurants and 500 orders there. A row that reads “not enough data” is a place that did not clear it on this day — never a zero, never an estimate.

By metro

Online orders per restaurant by metro on October 13, 2026. Metros are approximated from each restaurant’s ZIP code.

Online orders per restaurant by metro on October 13, 2026. Metros are approximated from each restaurant’s ZIP code.
MetroOrders per active restaurantRestaurantsOrders
Atlanta, GA16.21161,883
Houston, TX10.269705
Orlando, FLNot enough data on this day
Miami-Fort Lauderdale, FLNot enough data on this day
San Francisco Bay Area, CANot enough data on this day
Dallas-Fort Worth, TXNot enough data on this day
Los Angeles, CANot enough data on this day
Tampa Bay, FLNot enough data on this day

By state

Online orders per restaurant by state on October 13, 2026. Only states that cleared the threshold are listed.

Online orders per restaurant by state on October 13, 2026. Only states that cleared the threshold are listed.
StateOrders per active restaurantRestaurantsOrders
Georgia14.41522,190
Texas10.81071,157
Florida10.263645

States not listed did not clear the threshold on this day.

Take this number

Free to cite with a link, and free to embed. The API returns published cells only.

  • JSON https://kwick365.com/api/v1/reading/online-orders-per-store/?geo=us
  • Chart <iframe src="https://kwick365.com/embed/online-orders-per-store/us/" width="560" height="390" style="border:0" title="Online orders per restaurant — Kwick365"></iframe>

The other readings

Every other Kwick365 reading, nationally, as of its own latest published day.

Every other Kwick365 reading, nationally, as of its own latest published day.
ReadingLatestSampleAs of
Online order ticketmedian $ per order$30.14711 restaurants, 8,791 orders
Online tip ratemedian tip ÷ subtotal15.0%711 restaurants, 1,043 tipped orders — 11.9% of 8,791 orders
Items per online orderline items per order2.0711 restaurants, 8,791 orders
In-store ticketmedian of each restaurant’s average ticket$31.451,581 restaurants, 116,524 orders
In-store orders per restaurantmedian orders per restaurant59.01,581 restaurants, 116,524 orders
Restaurants trading in storerestaurants1,5811,581 restaurants, 116,524 orders
Restaurants in the indexrestaurants1,978counted from the menu index on the build date
Median Google ratingstars out of 54.31,663 restaurants with 50 or more Google reviews
Rated 4.5 or bettershare of rated restaurants34.0%1,663 restaurants with 50 or more Google reviews

All readings · Price indexes · Metros