Franchise Failure Rates by Industry: What the Data Actually Shows

The Franchise Success Rate Myth

You have probably heard the statistic: “95% of franchises succeed” or “franchises have a 90% success rate.” These numbers are repeated by franchise sales teams, franchise brokers, and even some franchise industry publications. The problem is that no credible, peer-reviewed study has ever produced these figures.

The origin of the “95% success rate” claim is murky — it appears to trace back to franchise industry marketing materials from the 1990s and has been repeated so often that people assume it must be based on real research. It is not. The International Franchise Association has distanced itself from this specific claim, and academic researchers who have studied franchise outcomes find a far more complicated picture.

That does not mean franchising is a bad investment. It means you need to evaluate franchise failure rates using actual data rather than marketing slogans.

What Does “Failure” Actually Mean?

Before examining numbers, we need to define what franchise failure means, because the definition dramatically changes the statistics.

• Closure — The franchise location permanently closes. This is the strictest definition of failure.
• Transfer — The franchise is sold to a new owner. The original owner may have lost money, broken even, or profited. A transfer is not automatically a failure, but it is not automatically a success either.
• Non-renewal — The franchisee’s agreement expires and they choose not to (or are not allowed to) renew. This could indicate dissatisfaction, retirement, or a strategic decision.
• Termination — The franchisor terminates the franchisee for cause (usually failure to meet operational standards or pay royalties). This is almost always a failure scenario.
• Reacquisition — The franchisor buys back the location. This sometimes indicates an underperforming unit that the franchisor wants to rehabilitate or close.

When franchise industry advocates cite high success rates, they typically count only permanent closures as failures. When critics cite high failure rates, they sometimes include transfers and non-renewals. The truth sits between these extremes.

SBA Loan Default Rates as a Proxy for Failure

The most objective data source for franchise performance is the U.S. Small Business Administration’s franchise loan database. The SBA tracks default rates on loans made to franchise businesses, broken down by brand. While a loan default does not always mean the business closed (and some failed businesses repay their loans), default rates are the best available proxy for financial distress across franchise systems.

Default Rates by Industry Sector

Industry Sector	Avg. SBA Loan Default Rate	Notes
Quick-Service Restaurants	15–25%	High variance between established and newer brands
Full-Service Restaurants	18–30%	Highest failure rates in franchising
Home Services	8–15%	Lower overhead contributes to durability
Fitness & Wellness	14–22%	Volatile; heavily location-dependent
Senior Care & Home Health	8–14%	Recession-resistant demand
Automotive Services	10–18%	Steady demand, moderate capital requirements
Childcare & Education	10–16%	Regulation-heavy but stable demand
Retail & Convenience	12–20%	Declining foot traffic impacts some concepts
Business Services (B2B)	8–14%	Lower fixed costs, often home-based
Cleaning & Janitorial	6–12%	Lowest failure rates; low capital, recurring revenue

These ranges represent aggregated data across multiple brands within each sector. Individual brand performance varies significantly — a well-run QSR brand might have a 10% default rate while a poorly managed one exceeds 30%.

Item 20 Data: Your Best Brand-Specific Indicator

Every FDD includes Item 20, which provides a three-year history of franchise outlet openings, closures, transfers, and terminations. This is the most granular failure data available for any specific franchise brand.

Here is how to analyze Item 20 data to assess a brand’s health:

Closure Rate

Calculate the number of franchisee-owned outlets that closed (ceased operations) divided by the total number of franchisee-owned outlets at the start of the year. A healthy system typically shows an annual closure rate under 3%. Rates above 5% warrant investigation. Rates above 8-10% are a serious red flag.

Net Growth Rate

Calculate total openings minus total closures, terminations, and non-renewals. A healthy franchise system shows consistent net positive growth. If the system is shrinking — more units leaving than opening — the brand may be in decline.

Transfer Rate

A moderate transfer rate (5-10% of units annually) is normal and indicates a liquid resale market. Very low transfer rates might mean franchisees cannot find buyers. Very high transfer rates (above 15%) may indicate widespread franchisee dissatisfaction.

Termination Pattern

If the franchisor is terminating a significant number of franchisees, ask why. A few terminations per year in a large system are normal (non-payment, operational violations). A spike in terminations could indicate that the franchisor is aggressively culling underperformers — or that the system’s economics are forcing franchisees into default.

Use VetMyFranchise to quickly access and compare Item 20 data across franchise brands without manually reading through hundreds of pages of FDD documents.

Five-Year Survival Rates

Academic research on franchise survival rates paints a more realistic picture than industry marketing:

• Franchise businesses overall — Approximately 70-80% survive five years, compared to roughly 50% for independent small businesses. Franchises do have a survival advantage, but it is not the 95% figure that gets cited.
• Quick-service restaurants — Five-year survival rates of 60-75%, with significant variation by brand. Established brands like McDonald’s and Chick-fil-A have survival rates well above 90%, while newer or smaller QSR concepts may fall below 60%.
• Home services — Five-year survival rates of 75-85%. Lower fixed costs and essential-service demand contribute to durability.
• Fitness and wellness — Five-year survival rates of 55-70%. High sensitivity to location quality, competition, and consumer trends creates volatility.
• Full-service restaurants — Five-year survival rates of 50-65%. The restaurant industry broadly has the highest failure rates, and franchise systems are not immune.

Factors That Predict Franchise Failure

Research and industry data consistently point to several factors that correlate with higher failure risk:

Brand and System Factors

• Rapid expansion without infrastructure — Franchisors that sell aggressively without building adequate support, training, and supply chain capabilities leave franchisees underserved
• Declining same-store sales — If existing units are seeing revenue declines year over year, the brand’s value proposition may be weakening
• High franchisee turnover — Visible in Item 20 data; a system where owners consistently leave after a few years has a problem
• Weak or absent Item 19 — Brands that choose not to disclose financial performance data may be hiding poor unit economics
• Frequent litigation — Item 3 of the FDD discloses litigation history; an excessive number of franchisee lawsuits signals trouble

Individual Franchisee Factors

• Undercapitalization — The number one cause of franchise failure. Owners who invest their last dollar in the franchise fee and have no operating reserve are extremely vulnerable to any unexpected challenge
• Absentee ownership in hands-on systems — Some franchise models require owner involvement. Semi-absentee operation of a model designed for owner-operators increases failure risk significantly
• Poor location selection — For retail and restaurant franchises, location is the single biggest determinant of success
• Lack of relevant experience — While franchises provide training, owners with no experience managing employees, finances, or customer-facing businesses face a steeper learning curve

How to Evaluate a Specific Brand’s Health Using FDD Data

Rather than relying on industry averages, you can assess the health of any franchise brand by examining its own FDD:

1. Pull Item 20 data for the last three years. Calculate annual closure rates, net growth, and transfer rates. Look for trends — is the system growing or contracting?

2. Review Item 19 financial performance data. Are the numbers strong enough to support debt service, royalties, operating costs, and a reasonable owner income? If no Item 19 exists, ask why.

3. Check Item 3 for litigation patterns. A few lawsuits are normal for large systems. A pattern of franchisees suing over misrepresentation, encroachment, or unfair termination is a warning sign.

4. Analyze Item 6 fee structures. Total ongoing fees (royalties + advertising + technology + other) above 10-12% of revenue create thin margins that leave less room for error.

5. Talk to existing franchisees. No amount of data analysis substitutes for hearing directly from people operating the business. Ask them specifically about profitability, support quality, and whether they would invest again.

6. Compare against industry benchmarks. VetMyFranchise provides side-by-side comparisons and benchmark data that contextualizes any single brand’s performance relative to its sector.

The franchise model does offer meaningful advantages over starting a business from scratch — an established brand, proven systems, training, and collective buying power. But those advantages do not guarantee success. The brands with the lowest failure rates are typically the ones with strong unit economics, well-capitalized franchisees, strong support systems, and the transparency to share their data openly.