What Franchise Item 19 Doesn't Tell You: The Owners Who Aren't In the Average
Item 19 tells you how much surviving franchisees make. It doesn't tell you about the ones who closed before the FDD was printed. Here's how to find them — and adjust the numbers.
You're looking at a franchise where Item 19 shows $620K median annual revenue. That number is legally accurate, audited, and based on real franchisee results. It's also missing roughly 5–15% of franchisees — the ones who closed their locations before that fiscal year ended. Their results are not in the average. The FDD doesn't require them to be. This isn't fraud; it's how disclosure accounting works. But it means every Item 19 number you've ever looked at is an upper bound, not a central estimate.
How Survivor Bias Enters Item 19
FDDs are filed annually, typically between April and June, covering the prior fiscal year. Item 19 captures revenue from franchisee-operated outlets that were open and reporting during that fiscal year. "Open and reporting" is the operative phrase.
A unit that opened January 1st and closed October 15th — after nine months of declining revenue and two months of trying to find a buyer — is not in the Item 19 data. It doesn't appear as a drag on the average. It doesn't appear at all. The math that determines what "typical" looks like excludes the most instructive data points: the operators who tried, struggled, and exited.
Here's the accounting consequence. If a brand had 200 franchised units open on January 1st but 20 closed by December 31st, the Item 19 reflects 180 units, not 200. Those 20 units were not randomly distributed across the performance range — they were overwhelmingly drawn from the bottom of the revenue distribution. Low revenue leads to cash flow problems, which leads to loan default or voluntary closure. The Item 19 you're reading excludes precisely the outcomes that should most inform your decision.
Units that opened mid-year add a different distortion: they may be included at partial-year revenue without clear disclosure that it's partial. A unit that opened July 1st and reported $180K revenue through December is not doing $360K annualized — new units ramp slowly, and $180K in a franchise's first six months typically projects to $280K–$320K in year two, not double. If the FDD includes partial-year units without flagging them, the average understates typical unit performance for mature operators but for different reasons.
Quantifying the Distortion
You can estimate the survivor bias adjustment using Item 20, which tracks unit openings, closures, transfers, and terminations by year. The formula:
- 1. From Item 20: count franchised unit closures in the most recent fiscal year
- 2. Divide by total franchised units at year start → closure rate
- 3. Assume closed units earned 40–60% of median Item 19 revenue (conservative; most closed units earned even less)
- 4. Recalculate a blended median that includes the closed-unit estimate
Example with real numbers: a QSR brand reports median Item 19 revenue of $500K from 180 surviving units. Item 20 shows 20 closures during the year, implying a 10% closure rate. If those 20 units averaged $220K before closing — a reasonable estimate for franchisees who closed due to insufficient revenue — the true system-wide median including failures is approximately $463K, not $500K. That's an 8% downward adjustment on a number you were probably treating as conservative.
For brands with a 5% annual closure rate, the adjustment is smaller: roughly 3–5% below stated Item 19 median. At 10% closure rates — common in challenged QSR brands and struggling retail concepts — the adjustment reaches 8–12%.
"It's not fraud. It's the accounting equivalent of a school reporting average test scores after removing students who dropped out. The remaining students did score higher. The school isn't lying. But the number doesn't tell you what you actually want to know."
Item 20 Signals That Require Item 19 Discounting
Not every brand needs the same level of adjustment. The following Item 20 patterns indicate that the stated Item 19 figures deserve additional scrutiny:
Net unit count declining year-over-year. If a system had 210 units two years ago and has 190 today, the Item 19 represents a shrinking pool of survivors. Each annual FDD cycle removes more underperformers from the average. A multi-year declining system's Item 19 median gets progressively more optimistic as the weaker units exit — which is the opposite of what you'd naively expect.
Refranchising activity. When a franchisor converts corporate-owned units to franchisee-owned, the new franchisee typically pays full price for a unit that corporate ran with lower capital cost and different overhead. These converted units often underperform the system average for the first 18–24 months. If Item 20 shows significant refranchising alongside closure data, the Item 19 pool includes recently-converted units that haven't yet reached maturity.
High termination count relative to closure count. Item 20 distinguishes between "ceased operations" (franchisee-initiated or mutual), "terminated" (franchisor-initiated for cause), and "not renewed" (agreement expired without renewal). A high termination count relative to total closures indicates the franchisor is actively ending agreements with underperforming franchisees. Those terminations preceded the closure — meaning the worst performers were removed from the data before even the closure statistics captured them. The Item 19 pool is even more selected than the closure rate alone suggests.
High transfer count. Transfers are sometimes legitimate business sales by profitable operators. They're also sometimes distressed sales by operators who couldn't sustain the business but found a buyer before the unit closed. A high transfer rate in a system with flat or declining revenue warrants validation calls to franchisees who transferred — they're listed in Item 20 and FTC rules allow you to contact them.
The Adjustment Framework
Apply this before accepting any Item 19 figure at face value:
- 1. Pull Item 20: count franchised closures (ceased operations + terminated) in the past fiscal year
- 2. Divide by total franchised units at year start → annual closure rate
- 3. Closure rate 0–4%: apply no adjustment. Item 19 median is reasonably representative.
- 4. Closure rate 5–9%: multiply Item 19 median by 0.93. The survivor bias is meaningful but not severe.
- 5. Closure rate 10%+: multiply Item 19 median by 0.87. High-churn systems have substantially selected Item 19 pools. Treat adjusted figure as your working assumption; validate with franchisee calls.
One further check: compare the closure rate against the FDD from two years prior. If closures are accelerating — 4% two years ago, 7% last year — that trend matters more than any single-year snapshot. An accelerating closure rate means the Item 19 pool is getting more selected over time, and next year's number will be even further from ground truth.
The Item 19 survivor bias problem doesn't make FDD financial data useless. It makes the adjustment calculation essential. A $600K median that adjusts to $555K on a 7% closure rate is still useful — but a buyer making decisions at $600K who should be modeling at $555K has mispriced their downside by roughly $45K/year, which over a 5-year payback period represents $225K in misjudged return expectations.
See also: Franchise Item 19 Explained for how to read median vs. average and spot top-quartile-only reporting. Use the brand explorer to filter for brands with low closure rates and strong unit growth — those are the Item 19 figures that need the least adjustment.