Franchise Failure Rates: What the Data Actually Shows in 2026

The Franchise Success Myth

You have probably heard the statistic: “franchises have a 90% success rate” or “franchise businesses are 80% more likely to succeed than independent businesses.” These numbers are cited endlessly in franchise sales presentations, industry publications, and even some business textbooks.

The problem: these statistics are not real. There is no credible study that supports a 90% franchise success rate. The most commonly cited version traces back to a misquoted and now-retracted study. The franchise industry has perpetuated this myth because it sells franchises.

That does not mean franchises are bad investments. It means you need real data, not marketing slogans, to assess your risk.

What the Real Data Shows

SBA Loan Default Rates

The most reliable franchise failure data comes from the U.S. Small Business Administration. SBA loans are the most common financing vehicle for franchise purchases, and the SBA tracks default rates by brand.

Key findings from SBA franchise loan data:

• The overall franchise loan default rate is approximately 20-25% over the life of the loan (typically 7-10 years)
• Some franchise brands have default rates above 40%
• The best-performing brands have default rates under 5%
• Default rates vary dramatically within the same industry

The Wide Spread Between Best and Worst

This is the critical point that averages obscure. Here’s a sample comparison within the food and beverage category alone:

Franchise Type	Approx. SBA Default Rate	Unit Growth Trend	Avg. Investment
Top-tier QSR brands	5-10%	Stable/Growing	$300K-$1.5M
Mid-tier QSR brands	15-25%	Mixed	$200K-$500K
Emerging QSR concepts	25-40%	Volatile	$150K-$400K
Established casual dining	12-20%	Declining	$500K-$2M
Coffee/beverage concepts	10-20%	Growing	$200K-$600K

The difference between a 5% and a 40% default rate is enormous. Choosing the right brand within an industry matters far more than choosing the right industry.

Bureau of Labor Statistics Context

The BLS reports that approximately 20% of all new businesses fail within the first year, and about 50% fail within five years. For franchises specifically, the first-year failure rate is lower, roughly 10-15%, but the five-year failure rate narrows the gap noticeably.

Why the gap narrows over time: Franchise fees, royalties, and operational restrictions create ongoing financial pressure that independent businesses do not face. A franchise that survives year one is not necessarily on solid ground if the unit economics are marginal after royalties and fees.

Failure Rates by Industry

Based on a combination of SBA data, FDD analysis, and industry research, here is how franchise failure rates break down by sector:

Industry	Estimated 10-Year Failure Rate	Key Risk Factors
Quick-Service Restaurants	20-30%	High competition, labor costs, thin margins
Full-Service Restaurants	25-35%	High build-out costs, complex operations
Retail (non-food)	20-30%	E-commerce disruption, location dependency
Fitness & Wellness	15-25%	Membership churn, equipment costs
Home Services	10-20%	Lower overhead, recurring revenue
Commercial Cleaning	10-18%	Low startup cost, contract-based revenue
Senior Care & Home Health	12-20%	Growing demand, regulatory complexity
Automotive Services	15-25%	Skilled labor shortage, equipment costs
Education & Tutoring	15-22%	Seasonal demand, market sensitivity
Business Services (B2B)	12-20%	Longer sales cycles, relationship-driven

Important caveat: These are broad industry estimates. Individual franchise brands within each industry can deviate wildly from these ranges. A well-run home services franchise can still fail, and an excellent QSR brand can have very low failure rates.

What Actually Predicts Franchise Failure

After analyzing hundreds of FDDs, we have identified the factors most strongly correlated with franchise failure. These are the data points you should focus on during your due diligence.

1. Declining System Size (Item 20)

The single strongest predictor of future failure is a franchise system that is already shrinking. If the total unit count has declined over the past three years in the Item 20 tables, the risk of your unit failing goes up sharply.

What to calculate: Net unit change = (New units opened) - (Units closed + terminated + not renewed). If this number is negative for two or more consecutive years, proceed with extreme caution.

2. High Closure-to-Opening Ratio

Even in a growing system, the ratio of closures to openings matters. A franchise that opens 50 new units but closes 30 has a very different health profile than one that opens 50 and closes 5.

Benchmark: A closure-to-opening ratio above 0.3 (30 closures per 100 openings) warrants deeper investigation.

3. Thin Unit Economics

When Item 19 data is available, calculate the estimated owner cash flow after all expenses including royalties, advertising fund contributions, debt service, and a reasonable manager salary (even if you plan to owner-operate, because your time has value).

Red flag: If the median unit cannot generate at least $60,000-$80,000 in owner benefit after all costs, the system likely has marginal unit economics that leave little room for error.

4. Franchisor Financial Instability (Item 21)

If the franchisor itself is losing money or has going concern warnings from auditors, the support infrastructure you are paying royalties for may not survive. A franchisor bankruptcy can devastate franchisees even when their individual units are performing well.

5. Excessive Litigation (Item 3)

A pattern of franchisee lawsuits, particularly those alleging misrepresentation of earnings or territorial encroachment, suggests systemic problems that drive failure.

6. Unrealistic Item 7 Estimates

When the actual cost to open consistently exceeds the Item 7 high-end estimate, franchisees start undercapitalized. Undercapitalization is one of the leading causes of small business failure across all categories.

How to Assess Your Personal Risk

Franchise failure is not random. The franchisees most likely to succeed share certain characteristics, and the FDD gives you tools to assess your own risk level.

Step 1: Calculate the Closure Rate

From Item 20, divide total closures (terminated + ceased operations + not renewed) by total units at the start of the year. Do this for each of the three reported years.

• Under 3% annually: Healthy system
• 3-7% annually: Average, warrants investigation
• Above 7% annually: Elevated risk

Step 2: Validate Unit Economics

If Item 19 exists, model your expected cash flow using the median revenue figure (not the average), the high end of Item 7 costs, and all fees from Item 6. If Item 19 does not exist, contact at least 10-15 franchisees from the Item 20 contact list.

Step 3: Stress-Test Your Assumptions

What happens if revenue comes in 20% below the median? Can you survive 18 months of below-average performance? Do you have reserves beyond what Item 7 recommends?

Step 4: Check the SBA Loan Data

If you are financing through an SBA loan, ask your lender about the default rate for the specific franchise brand. Lenders track this data, and some brands are flagged as high-risk.

Step 5: Compare Against Peers

Do not evaluate a franchise in isolation. Compare its closure rate, fee structure, and investment requirements against other franchises in the same industry. Our comparison tool makes this straightforward.

So What Should You Do?

Franchise failure rates are not as low as the industry claims, but they are not as catastrophic as some critics suggest either. The real insight is that averages are meaningless when the spread between the best and worst brands is so wide.

Your job as a prospective franchisee is not to rely on industry statistics. It is to examine the specific data for the specific brand you are considering, using the FDD as your primary source of truth.

The data is there. Item 20 tells you exactly how many units have closed. Item 19 (when available) tells you what units actually earn. Item 21 tells you whether the franchisor is financially stable. Item 3 tells you whether franchisees are suing.

Use it.

Browse our franchise library to see closure rates, system growth trends, and AI-powered risk assessments for 400+ franchise brands. Or use our compare tool to evaluate multiple brands side by side before you invest.