For restaurants
Benchmark yourself against the index
Data as of . Free to use, nothing to sign up for.
How to use it
Take one number off your own point-of-sale system, find the matching reading here for your metro — or for your state, if your metro is not big enough in the index yet — and compare. The readings are medians across independent restaurants, so half the restaurants in the sample are above the figure and half below it. Being under the median is not a verdict; it is a question worth asking.
| Your number | Compare with | Latest, nationally |
|---|---|---|
| Average online order total | Online order ticket the median of completed online orders, tip and fees included | $30.50717 restaurants, 8,853 orders, September 22, 2026 |
| Tips as a share of the check | Online tip rate median tip ÷ subtotal over the orders that tipped | 15.0%717 restaurants, 1,064 tipped orders — 12.0% of 8,853 orders, September 22, 2026 |
| Average in-store ticket | In-store ticket median of each restaurant’s own average ticket that day | $31.111,564 restaurants, 114,425 orders, September 22, 2026 |
| What you charge for a dish | The price indexes median listed menu price for 13 everyday dishes | All indexes |
| When your orders come in | Orders by hour and weekday the shape of the online day across the network | The charts |
Publishing metros right now: Atlanta, GA · Houston, TX · Orlando, FL · Miami-Fort Lauderdale, FL · San Francisco Bay Area, CA · Los Angeles, CA · Tampa Bay, FL. If yours is not here, it does not yet have enough restaurants in the index to publish without identifying them — use your state instead.
Read it carefully
The ticket readings are what guests paid, including tip and fees and after discounts — if you compare them against your net sales you will find a gap that is arithmetic, not performance. The price indexes are the opposite: they are what menus ask, before any discount, tax, tip or delivery fee.
A figure is published for a place only when enough restaurants and orders stand behind it, so a “not enough data” is exactly that and never a zero. A day marked as thin had unusually few restaurants reporting and should not be compared against. The full methodology.
These are benchmarks, not forecasts, and nothing here is financial or business advice. The sample is the independent restaurants running one point-of-sale system, not a random sample of the country.
Where this comes from
Kwick365 is computed from the working data of independent restaurants running KwickPOS, which publishes this site. Your own numbers are yours; nothing on Kwick365 is ever published per restaurant, and no restaurant is named anywhere on it.
Keep reading
All readings · Price indexes · Metros · Methodology · About