How to Check a Franchise's SBA Default Rate (and Why It Matters)
SBA loan default rates are the closest thing to a real-world report card on a franchise. Here's where the data comes from, how to read it, and how to pull it with AI.
A franchise's SBA loan default rate is the best reality check you can get. Item 19 earnings come from the franchisor. Marketing comes from the franchisor. But SBA default data comes from actual loans that owners either repaid or didn't, with no spin. If a lot of a brand's franchisees borrowed money and failed to pay it back, that tells you something the brochure never will.
What the SBA data actually is
When someone buys a franchise, they often finance it with an SBA 7(a) loan. Those loans get tracked: amount, lender, and outcome, paid in full or charged off (defaulted). The U.S. Small Business Administration publishes this loan by loan.
The problem is connecting it to brands. The raw SBA files don't cleanly say "this loan was for a Jersey Mike's." Matching loans to specific franchises takes work. We've done that matching across 87,000+ loan records, which is what makes a per-brand default rate possible.
The result is a market-tested signal. A franchisor can choose not to disclose Item 19. It can't make its franchisees' loan defaults disappear.
How to read a default rate
A number on its own means nothing. You need the baseline.
The overall SBA 7(a) default rate runs around 6%. Read individual brands against that:
| Default rate | Read |
|---|---|
| Under ~5% | Strong. Owners are repaying; the model holds up. |
| ~5–10% | Normal range. Look at it alongside earnings and closures. |
| ~10–15% | Caution. Something is making these businesses struggle. |
| Over 15% | Serious warning. A meaningful share of owners failed. |
| Over 20% | A handful of brands sit here. Treat with real skepticism. |
The point isn't the exact figure. It's where a brand sits relative to the baseline and to its peers.
The finding that surprised us
We cross-referenced SBA outcomes against our FDD database, and the headline number was counterintuitive: franchises defaulted more often than independent businesses overall, roughly 7.5% versus 5.9%.
So franchises are riskier? Not quite. The gap was driven by a small group of bad brands. A few dozen franchises with default rates above 20% dragged the whole category's average up. Remove the worst performers and franchises perform about the same as independents. Remove enough and they perform better.
The lesson is sharp: the "franchise" label guarantees nothing. The brand is everything, and the default rate is one of the cleanest ways to separate the strong brands from the ones riding the category's reputation.
And the related finding worth repeating: cheap franchises defaulted more, not less. The high-default brands had lower average investment than the low-default ones. A small buy-in is not safety.
Pulling the rate with AI
You can browse this on any franchise's detail page, but the fastest way to work is to ask. With FranDB connected to ChatGPT or Claude over our MCP integration:
- "What's the SBA default rate for this brand?"
- "Show me franchises under $150K with a default rate below 5%."
- "Rank these five brands by SBA charge-off rate."
- "Which has more SBA loans on record, and how have they performed?"
That last question matters. A 0% default rate across four loans means nothing; a 4% rate across four hundred loans means a lot. Always check the sample size, and the AI can tell you both at once.
Where it fits in your research
Default rate is one input, not a verdict. Use it to confirm or challenge what the other data suggests. A brand with healthy Item 19 earnings, net unit growth in Item 20, and a low default rate is showing you three independent signals pointing the same way: that's a strong brand. A brand with a great advertised average but a 14% default rate is telling you the average is hiding something.
Read it with everything else, then do the human work: call current and former owners, and have a franchise attorney review the agreement before you sign. The data gets you to the right questions. It doesn't answer them for you.
Next: comparing franchises with AI and the full due diligence workflow.
Frequently asked questions
What is a good SBA default rate for a franchise?
As a rough benchmark, the overall SBA 7(a) default rate sits around 6%. Franchises below roughly 5% look strong; brands above 15% are a clear warning, and a small number run above 20%. Always compare a brand against that baseline rather than judging the raw number alone.
Where can I find franchise SBA loan default rates?
The SBA publishes loan-level 7(a) and 504 data, but it's raw and hard to tie to specific franchise brands. FranDB has matched 87,000+ SBA loan records to franchises, so you can pull a brand's default rate directly, including through AI tools like ChatGPT and Claude over our MCP integration.
Does a high SBA default rate mean a franchise is bad?
It's a strong negative signal but not proof on its own. A high charge-off rate means many owners borrowed against the business and couldn't repay: real failures, not projections. Read it alongside Item 19 earnings and Item 20 closures. When all three look weak together, the brand is genuinely risky.
Are franchises safer than independent businesses?
Not automatically. In our analysis of SBA loans, franchises actually defaulted slightly more often than independent businesses overall (about 7.5% versus 5.9%) because a small number of bad brands drag the average down. Strip those out and the best franchises perform as well as or better than independents.
Research franchises from inside ChatGPT, Claude, or Cursor
FranDB connects 1,700+ franchise FDDs to your AI tools over MCP. Compare financials, pull franchisee contacts, and check SBA default rates without leaving the chat.