Preprint / Version 1

The First Five Years: Why Most U.S. Restaurants Fail Before Reaching Stability

##article.authors##

  • Diya Sami Student

DOI:

https://doi.org/10.58445/rars.3437

Keywords:

Business, Economics, COVID-19, Restaurant Industry

Abstract

Over the past decade, the U.S. restaurant industry has faced significant financial and operational challenges that have impacted its ability to survive and thrive. This paper will examine restaurant survival and closure rates, showing that nearly 60% of new restaurants fail within their first five years (U.S. Bureau of Labor Statistics, 2023). It further examines the financial structure of the restaurant industry, showing the average startup cost over $375,000 (RestaurantOwner.com, 2023) and median profit margins below 5% (National Restaurant Association, 2024), forcing many owners to rely on small business loans and personal savings. Macroeconomic factors, including labor shortages, rising minimum wages, and the COVID-19 pandemic, have all exacerbated these challenges. This caused over 100,000 permanent closures in 2020 alone (Federal Reserve, 2020). Trend data from the U.S. Census Bureau’s Annual Capital Expenditures Survey (ACES) shows that both startup and failure rates have increased over time. However, profit margins have decreased as rent, inflation, and labor costs have continued to outpace revenue growth. Therefore, these results indicate an industry where long-term success largely depends on strong capitalization, effective cost control, and the ability to keep pace with consumer trends.

References

Bureau of Labor Statistics. (n.d.). Age of business and establishment deaths by industry:

Accommodation and food services (NAICS 72). U.S. Department of Labor.

https://www.bls.gov/bdm/us_age_naics_72_table6.txt

Economic Research Service, U.S. Department of Agriculture. (2025). Food price outlook:

Summary findings. https://www.ers.usda.gov/data-products/food-price-outlook/summary-findings

Hinkin, T. R., & Tracey, J. B. (2005). The cost of turnover: Putting a price on the learning curve.

Cornell Hotel and Restaurant Administration Quarterly,

https://doi.org/10.1177/0010880405275598

Luo, T., & Stark, P. B. (2014). Only the bad die young: Restaurant mortality in the Western U.S.

arXiv. https://doi.org/10.48550/arXiv.1410.8603

Luca, M. (2016). Reviews, reputation, and revenue: The case of Yelp.com (Working Paper

-016). Harvard Business School.

https://www.hbs.edu/ris/Publication%20Files/12-016_a7e4a5a2-03f9-490d-b093-8f951238dba2.

pdf

National Restaurant Association. (2022, August 24). Bottom line impact of rising costs for

restaurants.

https://restaurant.org/research-and-media/research/restaurant-economic-insights/analysis-com

mentary/bottom-line-impact-of-rising-costs-for-restaurants/

National Restaurant Association. (2023). State of the restaurant industry report.

https://go.restaurant.org/rs/078-ZLA-461/images/SOI2023_Report_NFP_embargoed.pdf

National Restaurant Association. (2025). State of the restaurant industry 2025.

https://restaurant.org/research-and-media/research/research-reports/state-of-the-industry/

Parsa, H. G., Self, J. T., Njite, D., & King, T. (2011). Why restaurants fail? Part II: The impact of

affiliation, location, and size on restaurant failures. Journal of Foodservice Business Research,

(4), 360–379. https://doi.org/10.1080/15378020.2011.625824

ReviewTrackers. (2023, October 11). Customer reviews: Stats that demonstrate the impact of

reviews. https://www.reviewtrackers.com/reports/customer-reviews-stats/

Roh, T. H., Kim, J. Y., & Park, J. (2018). Restaurant failure factors: A case of restaurant industry

in the United States. Tourism Management, 67, 109–120.

https://doi.org/10.1016/j.tourman.2017.12.0026

Sedov, D. (2022). Restaurant closures during the COVID-19 pandemic: A descriptive analysis.

Economics Letters, 213, 110380. https://doi.org/10.1016/j.econlet.2022.110380

Tracey, J. B., & Hinkin, T. R. (2008). National study of human resource practices, high turnover,

and customer service in the restaurant industry.

Cornell University, School of Industrial and

Labor Relations.

https://archive.ilr.cornell.edu/sites/default/files/National-Study-of-Human-Resource-Practices-Hig

h-Turnover-and-Customer-Service-in-the-Restaurant-Industry.pdf

Xiao, L., Wang, S., Mao, X., & Xiao, J. (2016). Predicting restaurant consumption level through

social media [Dataset and analysis]. https://aclanthology.org/C16-1314.pdf

Downloads

Posted

2025-11-20

Categories