The disclosure showed a two-million-dollar average. Most units never reached it.

The subject was a single-unit franchise quick-service restaurant, being acquired by a first-time franchisee of an established brand, on a suburban retail pad. The sponsor's pro forma anchored to the brand's Item 19 financial performance representation in the franchise disclosure document — an average unit volume on the order of $1.9 million — and read coverage off that figure. The all-in financing ran to roughly $1.1 million across the franchise fee, equipment, leasehold improvements, and working capital.

The deal was structured for SBA 7(a) financing — the standard vehicle for a single-unit franchise acquisition, and one that requires the brand to appear on the SBA Franchise Directory. Because the projections leaned on the brand's disclosed average, an independent feasibility study was expected to give the lender a basis for the forecast that reflected the specific unit and the specific borrower, not the system average.

The sponsor's pro forma took the published average as the unit's expected revenue. The analytical question was whether a system-wide average described what this unit, with this borrower's costs, would actually earn.

The intuitive way to underwrite a franchise is the disclosure document's average: the brand publishes an average unit volume, the borrower adopts it, and coverage follows from a large, official-looking number backed by a national system. On that logic the deal was comfortable — a proven brand, a disclosed two-million-dollar average, a top line that cleared the requested debt service. The franchise's scale and the disclosed figure did the persuading.

It was also treating an average as a forecast — and a franchise disclosure average is one of the most systematically misleading numbers a borrower can build a pro forma on.

A franchise average unit volume is a survivor-biased, outlier-skewed average that excludes the borrower's specific cost structure — and in most quick-service systems, fewer than half of units actually reach it. The disclosure document's financial performance representation reports an average of operating units, which means it excludes the units that have already closed; it is pulled upward by a strong top quartile, so the median unit earns less than the mean; and it is a gross-sales figure that says nothing about the borrower's royalty load, advertising fund, occupancy, ramp period, or debt service. The brand's own economics illustrate the gap: a system can disclose a near-two-million-dollar average unit volume while the unit-level cash-flow margin after royalties and occupancy runs in the high teens, which is a multi-unit operator's thesis, not a single first-unit borrower's. Other systems disclose averages near four million dollars carried on an eight-percent royalty-and-advertising load — the average is real, and it is not the borrower's.

There is a second dimension the average conceals: brand selection is itself a credit variable. Franchise performance in the SBA portfolio disperses enormously — from near-zero default in the strongest brands to thirty and forty percent in the weakest, with whole-portfolio franchise default running in the high teens while the most-funded top brands run a fraction of a percent. The published average flattens all of that into one confident figure. Re-underwritten from the bottom of the distribution up — on a median unit, the borrower's actual royalty and occupancy load, a realistic ramp, and the brand's position in the default distribution — the deal was thinner than the average implied, but it was bankable on terms the average could never have produced. The relevant analysis was a cost-loaded, median-based, site-specific pro forma, not the headline average.

Median, not mean. The revenue forecast was built from the system's unit-volume distribution rather than its average, recognizing that the median unit in most quick-service systems earns less than the mean and that fewer than half of units reach the disclosed figure.

Survivor-bias check via unit counts. The franchise disclosure's unit-count tables — openings, closures, transfers, and terminations — were read as a survivor-bias test, so the analysis accounted for the closed units the average excludes rather than treating the disclosed figure as the full picture.

Borrower cost-load. The pro forma was loaded with the borrower's specific royalty, advertising-fund contribution, occupancy, and a realistic ramp to maturity — the costs the gross-sales average omits entirely — so the forecast reflected this borrower's economics, not the system's top line.

Brand position in the default distribution. The brand was placed within the documented dispersion of franchise performance in the SBA portfolio, treating brand selection as a credit variable rather than a settled comfort, and flagging where a brand's default tier would require additional equity or collateral.

Four-wall coverage on the loaded pro forma. Debt-service coverage was tested on the cost-loaded, median-based forecast across the ramp period, isolating the equity injection and terms under which the single unit cleared coverage.

Going-concern allocation. The appraisal's allocation across franchise fee, equipment, and leasehold improvements was tied to the financing structure, clarifying how much of the loan was collateralized and how the intangible franchise value was treated.

The credit file replaced a disclosure average with a cost-loaded, median-based pro forma and explained why a two-million-dollar system average was not this unit's expected revenue. The analysis showed the survivor bias and outlier skew in the published figure, loaded the borrower's royalty and occupancy, placed the brand in the SBA default distribution, and identified the equity and terms under which the unit cleared coverage. The SBA reviewer treated the site-specific, cost-loaded forecast — not the brand's average — as the basis for the projections, and the Franchise Directory listing confirmed program eligibility. The independent study met the program's expectation by evaluating the unit the borrower was actually buying, which is where franchise credits are most often misjudged.

The 7(a) financing closed underwritten on a cost-loaded, median-based pro forma with an equity injection sized to the ramp, rather than on the brand's published average unit volume. The inflection was not that the franchise was weak. It was that the number the pro forma anchored to — a survivor-biased, outlier-skewed system average — described the brand, not the borrower's unit, and the bankable deal was the one underwritten from the bottom of the distribution up.

• 01A franchise average unit volume is not a forecast. It is a survivor-biased, outlier-skewed average of operating units, and in most quick-service systems fewer than half of units reach it.
• 02The average omits the borrower's costs. It is a gross-sales figure that excludes royalty load, advertising fund, occupancy, ramp, and debt service — all of which fall on this borrower, not the system.
• 03Brand selection is a credit variable. Franchise default in the SBA portfolio ranges from near zero in the strongest brands to thirty and forty percent in the weakest; the published average flattens that dispersion into one figure.
• 04Underwrite a cost-loaded, median-based, site-specific pro forma. Build from the unit-volume distribution and the borrower's actual cost structure up, and read the disclosure's unit-count tables as a survivor-bias check.