Real franchise failure rate data for 2026. SBA loan default rates, failure by industry, and how to assess risk from FDD data before investing.
The franchise failure rate is roughly 20-25% over the life of a typical SBA-backed loan (about 7 to 10 years), according to U.S. Small Business Administration data, not the 90%+ success rate the industry advertises. That single number hides an enormous spread: the strongest brands default at under 5%, the weakest run above 40%. There is no one “franchise failure rate,” which is exactly why brand-level FDD data beats any headline average.
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.
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:
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 |
Source: Data extracted from 2025-2026 Franchise Disclosure Documents filed with state regulators. Figures may have changed since filing. Verify current terms directly with the franchisor.
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. If you are weighing which concepts actually clear a living wage for their operators, start with our roundup of the most profitable franchises to own.
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. Ramp-up matters too: a unit that takes years to break even burns through reserves long before it ever fails outright. Our breakdown of how long it typically takes a franchise to turn profitable shows why the second and third years often decide the outcome.
Most “franchise success rate” claims lean on numbers the franchisor supplies, and franchisors have every reason to count generously. SBA loan defaults work differently. They come from a third party, a federally guaranteed lender with real money at stake and no interest in flattering the brand. When a franchisee stops paying, the default gets recorded whether or not the franchisor calls that unit a success. That makes lender data the cleanest available proxy for real-world failure, and we break it down brand by brand in our analysis of SBA franchise default rates by category.
Franchisor-reported figures also carry survivorship bias. Item 19 earnings claims usually describe the units that stayed open and reported for the full year. The ones that closed mid-year, never opened, or quietly changed hands drop out of the sample, so a brand can post a healthy “average” while the median tells a grimmer story and the bottom quartile bleeds cash. That is why the gap between average and median Item 19 figures tells you more than any single advertised number.
None of this makes SBA data flawless. It only captures debt-financed units, so cash buyers and non-SBA lenders stay invisible, and a brand new to the loan market simply has too few loans to judge. Read the default rate as one strong signal, not the final verdict.
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 |
Source: Data extracted from 2025-2026 Franchise Disclosure Documents filed with state regulators. Figures may have changed since filing. Verify current terms directly with the franchisor.
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.
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.
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.
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.
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.
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.
A pattern of franchisee lawsuits, particularly those alleging misrepresentation of earnings or territorial encroachment, suggests systemic problems that drive failure.
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.
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.
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. For a full worked example, see how to calculate a franchise’s true closure rate.
Prefer to skip the arithmetic? Our franchise network health report scores openings, closures, and net unit change for hundreds of brands so you can see the closure trend at a glance.
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. Our franchise investment calculator totals those upfront costs and fees for you. If Item 19 does not exist, that silence is itself a signal, and here is what a missing Item 19 usually means; either way, contact at least 10-15 franchisees from the Item 20 contact list.
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? Run the numbers deliberately: our cash-flow stress test built on 2026 SBA rates walks through the math at today’s higher borrowing costs, where debt service alone can sink an otherwise viable unit.
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.
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.
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 Franchise Disclosure Document 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.
There is no single franchise failure rate. SBA loan data shows approximately 20-25% of franchise-backed loans default within 10 years, but failure rates vary dramatically by industry and brand. Some franchise systems have closure rates above 30%, while others are under 5%. The key is examining Item 20 data for the specific franchise you are considering.
About 20-25% of franchise-backed SBA loans default over the life of the loan, typically 7 to 10 years. The range is wide: the strongest brands default under 5%, while the weakest exceed 40%. For context, the BLS reports roughly 20% of all new businesses fail in year one and about 50% within five years.
On average, franchises have somewhat lower failure rates than fully independent startups, but the gap is smaller than commonly claimed. The BLS reports about 20% of all new businesses fail within the first year, compared to roughly 10-15% for franchises. However, franchises carry higher upfront costs and ongoing fee obligations, so the financial loss from a franchise failure is often greater.
Based on SBA loan default data, quick-service restaurants and retail franchises tend to have the highest failure rates, often exceeding 25%. Home services, commercial cleaning, and senior care franchises generally have lower failure rates, typically in the 10-18% range. However, individual brand performance matters far more than industry averages.
Look at Item 20 of the Franchise Disclosure Document. It contains tables showing how many units opened, closed, were terminated, and were transferred over the past three years. Calculate the closure rate as a percentage of total units to get the actual failure rate for that specific system.
Calculated from Item 20, an annual closure rate under 3% signals a healthy system. Between 3% and 7% is average and warrants investigation, and above 7% points to elevated risk. Also watch the closure-to-opening ratio: more than 30 closures per 100 openings, a ratio above 0.3, is a serious warning sign.
Yes. The FTC requires every franchisor to disclose unit openings, closings, terminations, non-renewals, and transfers in Item 20 of the FDD. This data covers the most recent three fiscal years and is one of the most reliable indicators of franchise system health.
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