Key Takeaways
- McDonald's held 43.2% U.S. QSR market share by sales in 2023.
- Starbucks commanded 36% of QSR coffee sales in U.S. 2023.
- Subway unit count reached 37,000 in U.S., most QSR locations 2023.
- 68% of U.S. consumers visited QSR weekly in 2023, up from 62% in 2022.
- 42% of Gen Z prefer QSR for dinner occasions in 2023 surveys.
- Mobile ordering app usage in QSR rose to 51% of orders in 2023 U.S.
- In 2023, the U.S. quick-service restaurant (QSR) industry generated total sales of $404.3 billion, marking a 7.2% increase from 2022.
- Global QSR market size reached $1.05 trillion in 2023, projected to grow to $1.68 trillion by 2030 at a CAGR of 6.8%.
- QSR segment accounted for 37% of total U.S. restaurant industry sales in 2023, up from 35% in 2020.
- QSR average food cost percentage was 28.4% in 2023 U.S. operations.
- Labor costs consumed 31.2% of QSR revenues in 2023 amid shortages.
- Average QSR drive-thru service time was 227.5 seconds in 2023.
- QSR market in California represents 12.4% of U.S. total sales 2023.
- Texas QSR outlets density highest at 1 per 2,100 residents 2023.
- Florida QSR tourism boost added $18B sales in 2023 peak season.
In 2023, U.S. QSR sales hit $404.3 billion as top chains dominated share and digital ordering accelerated growth.
Related reading
Chains & Competition
Chains & Competition Interpretation
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Consumer Trends & Preferences
Consumer Trends & Preferences Interpretation
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Market Size & Revenue
Market Size & Revenue Interpretation
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Operations & Efficiency
Operations & Efficiency Interpretation
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Regional & Global Insights
Regional & Global Insights Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Elena Vasquez. (2026, February 13). Quick-Service Restaurant Industry Statistics. Gitnux. https://gitnux.org/quick-service-restaurant-industry-statistics
Elena Vasquez. "Quick-Service Restaurant Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/quick-service-restaurant-industry-statistics.
Elena Vasquez. 2026. "Quick-Service Restaurant Industry Statistics." Gitnux. https://gitnux.org/quick-service-restaurant-industry-statistics.
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