Somewhere in almost every franchise sales conversation, a reassuring statistic turns up. You will hear that the large majority of franchises succeed, or that franchises fail far less often than independent startups do, and the figure is usually delivered as settled fact. It rarely is. The failure-rate numbers that circulate in franchise marketing are among the least reliable figures a prospective buyer will encounter, and learning to treat them as claims rather than measurements is one of the more useful habits you can bring to your research.
Where the reassuring number usually comes from
The most quoted version is some form of "X percent of franchises are still operating after five years," with X set comfortingly high. Ask where it comes from and the trail usually goes cold. The figure gets repeated across brochures, broker decks, and blog posts until it feels official, but the people quoting it can rarely point you to a current study with a named author, a sample, and a described method behind it. That absence is the tell. A statistic that cannot be sourced is not evidence about your odds; it is a persuasion device, and the more precise and confident it sounds, the more skeptical it is worth being. The Federal Trade Commission, which enforces the franchise disclosure rules, has repeatedly cautioned buyers that broad claims about franchises being a safer bet than other businesses are not supported by reliable data.
A closed unit is not always a failure, and a surviving brand is not always a success
Part of why the numbers are so slippery is that nobody agrees on what to count. When a location closes, that might mean the franchisee lost everything, or it might mean they sold the unit at a profit, relocated it, or simply chose not to renew a lease that no longer made sense. Those are very different outcomes wearing the same "closed" label. The reverse problem is just as real: a franchise brand can keep growing its total unit count, and therefore look healthy, while a meaningful share of individual franchisees inside it are losing money and quietly exiting. The brand's survival tells you the franchisor is still selling franchises. It tells you very little about what the typical owner actually earned. Item 20 of the disclosure document breaks unit changes into transfers, terminations, non-renewals, reacquisitions, and ceased operations precisely because these are not the same event, and any headline "success rate" has already blurred them together.
What loan-default data can and cannot tell you
The closest thing to a hard failure signal comes from lending, because defaults get recorded whether or not anyone wants them to. Many franchise purchases are financed with Small Business Administration 7(a) loans, and default performance on those loans is tracked. A 2013 review by the U.S. Government Accountability Office looked at SBA-guaranteed franchise loans and found two things worth remembering. First, default rates varied enormously depending on who did the lending: four high-volume lenders in the sample saw roughly 63 percent of their reviewed loans default, against about 23 percent at the others. Second, the revenue projections in the applications were badly optimistic, running on average more than double the franchisees' actual first-year revenue. Brand-level default data does exist, and lenders rely on it, but it lags by years, reflects only buyers who financed through the SBA, and is still an average. It is far better than an unsourced brochure figure, and still not a forecast of your specific unit. You can read the GAO's findings in its report, Small Business Administration: Review of 7(a) Guaranteed Loans to Select Franchisees.
Averages hide the range that actually matters to you
Even a perfectly honest, well-measured brand average would not tell you what you most need to know. An average blends the strong locations with the weak ones, the disciplined operators with the absentee ones, and the prime sites with the marginal ones. Two franchisees in the same system, paying the same fees and following the same manual, can land in completely different places depending on their capital, their site, and how they run the unit day to day. The spread around the average is usually where your real risk lives, and a single headline percentage is designed to make that spread disappear. When a brand genuinely performs well, it is because a large share of its units are well-capitalized and well-run, not because the logo protects anyone from a bad location or a thin cash cushion.
Pressure-testing a survival claim you are handed
You do not need to win an argument about statistics to protect yourself; you just need to rebuild the picture from primary sources. Pull Item 20 and count the transfers, terminations, and closures yourself over the last three years, then compare that against how fast the system is adding units. Read Item 3 for litigation and Item 4 for bankruptcy history, since a pattern in either often says more than any success rate. If you are financing through the SBA, look up the brand's loan-default record. And call former franchisees, not just current ones, because the people who left are exactly the ones a headline survival figure was built to exclude. None of this requires you to trust the franchisor's number. It lets you replace it.
What to do with a failure-rate number
Treat any failure or success rate you are quoted as a starting question, not an answer. If it is sourced, read the source and check whether its definitions and time frame match your situation. If it is not sourced, set it aside entirely and lean on what you can verify: the disclosure document, the loan-default record, and unfiltered conversations with people who have actually owned a unit in the system. The goal is not to become cynical about franchising, which can be a reasonable way to go into business. The goal is to stop letting a comforting, unverifiable number stand in for the diligence that would actually tell you whether this specific opportunity is likely to work for you.