Leading country
United Arab Emirates currently has the highest Quick Service Restaurants benchmark among 12 countries with available data.
The current Quick Service Restaurants NPS benchmark is 26.6 for Jul 2026. The report compares 12 countries and includes 31 months of available history.
Coverage figures describe the number of markets and historical periods represented on this page. They are not a substitute for review-volume or survey-response sample sizes.
Key findings calculated from the benchmark data shown on this page for Jul 2026.
United Arab Emirates currently has the highest Quick Service Restaurants benchmark among 12 countries with available data.
Toulon, France is currently the highest-performing city for Quick Service Restaurants.
6 of the 12 countries with available data currently perform above the overall Quick Service Restaurants benchmark.
The Quick Service Restaurants benchmark remained broadly stable compared with the previous month.
| Last Month | 26.7 | -0.10 pts |
| 6 Months Ago | 27.1 | -0.50 pts |
| 12 Months Ago | 26.0 | +0.60 pts |
The Quick Service Restaurants NPS benchmark stands at 26.6 for Jul 2026. The report compares 12 countries with available data and includes 31 months of benchmark history.
United Arab Emirates records the highest country benchmark at 31.0. The highest and lowest country benchmarks are separated by 5.9 points. This relatively narrow range suggests that the represented markets are currently more concentrated than highly fragmented.
6 of 12 countries currently perform above the overall industry benchmark. Results are distributed relatively evenly around the reference point rather than being concentrated on one side.
Toulon, France is the strongest visible city benchmark at 40.0. This local result adds geographic context but should not be treated as proof that every organization in that market performs at the same level.
Month over month, the Quick Service Restaurants benchmark changed only marginally. This makes the longer historical series more informative than the latest movement alone.
The report includes 31 months of benchmark history, giving the latest reading a meaningful long-term reference rather than presenting it in isolation.
| # | Country | NPS | Δ vs 1M | Δ vs 6M | Δ vs 12M |
|---|---|---|---|---|---|
| 1 | Australia | N/A | n/a | n/a | n/a |
| 2 | Belgium | 25.1 | -0.20 pts | n/a | n/a |
| 3 | Canada | 25.5 | -0.40 pts | +0.20 pts | -0.50 pts |
| 4 | France | 27.1 | -0.10 pts | -0.20 pts | n/a |
| 5 | Germany | 30.9 | +0.20 pts | +1.20 pts | n/a |
| 6 | Italy | 28.8 | -0.30 pts | -0.70 pts | n/a |
| 7 | Mexico | 25.1 | -0.20 pts | n/a | n/a |
| 8 | Netherlands | 26.0 | +0.60 pts | n/a | n/a |
| 9 | New Zealand | N/A | n/a | n/a | n/a |
| 10 | Portugal | 25.1 | -0.10 pts | n/a | n/a |
| 11 | Qatar | 28.0 | 0.00 pts | n/a | n/a |
| 12 | Singapore | N/A | n/a | n/a | n/a |
| 13 | Spain | 29.8 | -0.50 pts | +0.90 pts | n/a |
| 14 | United Arab Emirates | 31.0 | 0.00 pts | n/a | n/a |
| 15 | USA | 25.9 | 0.00 pts | 0.00 pts | -0.10 pts |
| # | City | NPS |
|---|---|---|
| 1 | Toulon (France) | 40.0 |
| 2 | Dortmund (Germany) | 40.0 |
| 3 | Munich (Germany) | 40.0 |
| 4 | Sacramento (USA) | 39.0 |
| 5 | Barcelona (Spain) | 38.0 |
| # | City | NPS |
|---|---|---|
| 1 | Dijon (France) | 17.0 |
| 2 | Orléans (France) | 18.0 |
| 3 | Charleston (USA) | 19.0 |
| 4 | Hartford (USA) | 19.0 |
| 5 | Regina (Canada) | 20.0 |
Compare nearby geographies and sector pages to understand whether benchmark shifts come from the local market, the national context or the industry itself.
A good NPS in Quick Service Restaurants should be judged against current sector benchmarks, not against a generic cross-industry number. This page gives you that sector-specific reference point.
Customer expectations can vary widely from one industry to another. An industry benchmark tells you whether your score is strong relative to comparable businesses, even when overall country averages look different.
Use the industry benchmark as the sector baseline, then review the linked country and city pages to understand where local markets are outperforming or underperforming that baseline.