How to Read Franchise Earnings Claims: Item 19 Mean vs Median, Cohort Bias, and What the Numbers Actually Mean

A franchisor that discloses Item 19 is not obligated to show you every unit's performance. They can choose what cohort to report, what metric to lead with (mean versus median), and how to define "operating" for inclusion in the dataset. A franchisor whose Item 19 shows "$875,000 average annual revenue" may be accurately reporting the mean of the top 60% of their system — while the remaining 40% of units earn substantially less and are excluded from the cohort.

This guide breaks down the five structural problems in Item 19 disclosures and shows how to adjust the stated numbers into a realistic financial model before you make any investment decision.

Problem 1: Mean vs. Median — The Number That Actually Predicts Your Outcome

When a franchisor reports "average revenue," they almost always report the arithmetic mean. The mean is pulled up by the highest-performing units in the system — flagship locations in dense urban markets, multi-year operators who have optimized everything, units in territories with zero competition. The median — the revenue earned by the unit in the exact middle of the distribution — is almost always lower, and is what a new franchisee should model against.

How much lower? In the FDD data FranchiseVS has analyzed across 173 brands, the median Item 19 revenue is typically 15–30% below the mean in categories with high performance variance (QSR, fitness, food). In home services categories with tighter distributions, the gap is smaller — 5–15%. In any case, the mean is a worse predictor of what you will earn than the median.

A concrete example from publicly available FDD data: a well-known fast-casual franchise reported a mean of $1.12M in annual system revenue. The median for the same cohort was $890K — a 21% gap. A buyer who modeled against the mean, applied a 6% royalty and 3% ad fund, and projected $90K in owner earnings discovered they were $53K short of that projection in year two, because the median unit (which they turned out to be) earns $9K less per month than the mean suggested.

Action: Always ask the franchisor for median revenue if it is not in the FDD. If they decline, use the lowest disclosed quartile as your base case.

Problem 2: Cohort Selection Bias — Which Units Are in the Data

Item 19 does not require franchisors to include all units. The most common exclusions:

• Units open less than 12 or 24 months: New units are almost always excluded from Item 19 disclosures. This is often framed as excluding units "in the ramp phase." But new units typically represent 10–25% of an active franchise system, and they earn less than established units. Excluding them makes the average higher.
• Units that closed during the reporting period: A unit that opened in January and closed in October does not appear in the Item 19 cohort. It may appear in the Item 20 termination count, but its revenue — often well below system average — is not included in the performance calculation. This is survivorship bias: the data set contains only units that survived long enough to report.
• Geographically selective cohorts: Some franchisors report Item 19 only for specific regions or market types. "Top 10 markets by revenue" is legal disclosure — but comparing your target mid-size Midwest market against the performance of New York, Chicago, and Los Angeles units will produce a misleading benchmark.
• Company-owned vs. franchisee-owned units: If the franchisor operates company-owned locations alongside franchise units, they may report performance separately or not at all for company-owned units. Company-owned locations often have advantages (better real estate, lower franchise fee burden) that franchisees cannot replicate.

How to check for cohort exclusion: Item 20 reports total system unit count. Compare the Item 19 cohort size to the Item 20 total. If Item 19 covers 110 units but Item 20 shows 160 operating, 50 units are excluded. Ask specifically: which 50, and what is their average revenue?

Problem 3: Geographic Variation — Your Market Is Not the System Average

Item 19 is a system-wide figure. Your unit is one market. The performance gap between a franchise unit in Dallas versus one in rural Nebraska can be 3–5x for the same brand — and Item 19 averages them together.

Geographic variance is highest in:

• QSR and food — high correlation with foot traffic, population density, and daytime workforce
• Fitness and personal services — strong correlation with household income and competition density
• Senior care — population age distribution and Medicare/Medicaid mix vary dramatically by state

Geographic variance is lowest in:

• Commercial services (cleaning, pest control) — demand is more uniformly distributed
• B2B services — driven by business density rather than population density

To adjust Item 19 for your specific market, call franchisees in demographically comparable territories during validation calls — similar population size, median income, and competitive landscape. Ask directly: "What were your revenues in year one, two, and three?" This is the most valuable due diligence you can do and Item 20 gives you the contact list to do it.

Problem 4: New vs. Mature Units — The Ramp Curve Is Real

A franchise unit's revenue in year one is typically 55–75% of mature unit revenue, depending on category. QSR units ramp fastest (high traffic, established brand) — often reaching 80% of mature revenue by month 6. Home services units ramp slowest — referral-dependent businesses can take 18–24 months to reach system-average revenue.

Item 19 predominantly reflects mature unit performance. When you model your investment:

• Year 1 revenue: assume 60–70% of median Item 19 for most categories
• Year 2 revenue: assume 80–90% of median
• Year 3+: assume at or near median if operations are sound

The working capital implication: if Item 19 median revenue is $750K at maturity, your year 1 revenue is likely $450K–$525K. Your operating costs in year one are similar to a mature unit (rent, insurance, staffing, royalties are not discounted for ramp). That gap — between revenue and costs during ramp — is why franchise experts consistently say the Item 7 working capital estimate understates reality.

A useful cross-check: Item 19 for brands with enough data sometimes breaks performance by year cohort (units open 1–2 years vs 3+ years vs 5+ years). When this data exists, use the 1–2 year cohort as your year one benchmark and the 3+ year cohort as your maturity target.

Problem 5: The Top-Quartile Trap

Some Item 19 disclosures report only top-quartile performance: "The top 25% of our franchise units achieved average revenues of $1.3M." This is legal. It is also deeply misleading as a planning number.

The top-quartile trap works like this: buyers read the disclosed figure and unconsciously anchor to it. When pressed, the franchisor notes that it is only the top quartile — but the psychological anchor has already set. Buyers then model against 80% of $1.3M as a "conservative" estimate, when the system median might be $700K.

The correct response to top-quartile-only disclosure: ask for the full distribution — all quartiles, or at minimum the median and 25th percentile. If the franchisor will not provide them, you should assume the distribution is heavily right-skewed and the system median is materially below the top-quartile figure. Build your financial model using the disclosed top-quartile number as the absolute optimistic ceiling, not the expected case.

Adjusting Item 19 to a Usable Earnings Projection

Item 19 reports revenue, not profit. Royalties, ad fund, and rent are not deducted. To convert Item 19 revenue into a realistic owner earnings estimate:

The stress test — modeling at 25th percentile revenue against full costs — is what separates buyers who understand franchise economics from those who buy on the pitch. The stress test rarely appears in a franchisor's sales process. It is your job to run it before signing.

The "Above Average" Trap in Earnings Presentations

Franchise sales presentations frequently highlight the percentage of units that perform "above the system average." This sounds like a meaningful quality signal — 45% of units above average implies a healthy distribution. It's actually a mathematical tautology that tells you nothing. In any distribution, some units are above average by definition. The metric that matters is: what percentage of units achieve the revenue level needed to service debt, pay full fees, cover operating costs, and deliver the owner income that justified the investment? This "viability threshold" analysis never appears in franchise sales materials. Run it yourself: take the median revenue from Item 19, subtract all fixed costs (rent, debt service, insurance, fees), subtract variable costs at the category benchmark (COGS, labor), and see what's left for owner income. Then run the same calculation at the 25th percentile. If the 25th percentile unit can't pay the owner a living wage, one in four franchisees in that system is likely either supplementing from savings, working unsustainable hours to compensate, or on a path toward exit. The "above average" pitch obscures this by anchoring you to the mean instead of the floor.

Year-One Revenue Adjustment the FDD Doesn't Make for You

Item 19 data almost always reports annual revenue for units that have been operating 12+ months. Your first year will not match this number, and the FDD is not required to tell you by how much. The typical ramp curve: months 1–3 generate 30–50% of the mature run rate (you're still hiring, training, building the customer base). Months 4–8 reach 60–80%. Months 9–12 approach 85–95%. A franchise reporting $800,000 median annual revenue for mature units implies roughly $480,000–$560,000 in year-one revenue. The gap — $240,000–$320,000 in revenue you won't earn — needs to come from working capital. At a 12% net margin, that missing revenue translates to $28,800–$38,400 in owner income you won't receive during year one. Most FDD working capital estimates ($20,000–$50,000 for the first 3 months) are sized for the gap between revenue and expenses during early months — not for the income replacement the owner needs. Add your personal living expenses for 12 months to the FDD's working capital estimate to get the true cash requirement. For most franchise buyers, this adjustment adds $40,000–$90,000 to the real investment.

Frequently Asked Questions