Sbarro Promo Codes
We've found 17 Sbarro codes, but none are tested yet. No shopper has reported back on these yet. Start with PIZZAPASTA and tell us how it went.
| Discount | Last used | Performance | Promo code |
|---|---|---|---|
| $14 off Large NY Cheese or Pepperoni Pizza | — | — | GAMETIME |
| 10% off Large Ny Pizza | — | — | 1099DEAL |
| 20% off Any 17 XL NY Pizza | — | — | PIES |
| Buy 1, get 1 free | — | — | BOGO |
| $9.99 for a 14" NY Pizza | — | — | 999 |
| Free gift with every purchase | — | — | 5OFF |
| $5 off $25 min order - Storewide | — | — | 24525 |
| $14 XL NY Pizza Cheese or Pepperoni | — | — | PIZZAPARTY |
| $14 off Extra Large Ny 17 | — | — | PIDAY |
| $15 for 24" Stromboli or 17" XL NY Pizza | — | — | MARCH |
| 17" XL NY Pizza or 24" Party Stromboli $15 | — | — | SBARROBOWL |
| $5 off in-app orders $25+ | — | — | 11111 |
| 10% off your entire order | — | — | PIZZALOVE |
| 20% off Click and Collect order | — | — | FOOTBALL20 |
| $14 Cheese or Pepperoni 17" pizzas every Friday | — | — | FRIDAY |
| $1 Garlic Cheesy Bread with 17” XL NY pizza | — | — | CHEESY |
About this page
Introducing a more honest way to find coupon codes
Every code has a history, and we track it
Codes fail for boring reasons: they expire, they only cover one category, they only apply to a first order. Calling any of them "verified" would be a guess dressed up as a fact. We publish the chance instead, built from checkout data and shopper answers, and we track it over time.
Likely not workingMixed resultsHigh chance of working
You'll find one of these charts on every code we list, tracking how it has performed over time.
When there is nothing worth trying, we say so
When we don't think there is a working code for a store, we say so right at the top of the page, before you spend time scrolling.
Good chance right now78%
Nothing likely right now9%
A code that works at breakfast can be dead by lunch. Nobody can promise otherwise, so we don't stamp anything here as "working" or "verified". We tell you the chance of a code working instead, based on real shopper feedback and data, and when the chance is poor we say that out loud.
