Item 19 Red Flags: How Franchisors Present Misleading Financial Data

The Problem With Taking Item 19 at Face Value

Item 19 — the Financial Performance Representation — is the section of the FDD where franchisors can legally disclose how much their franchise units earn. When presented honestly, it’s one of the most valuable tools in your due diligence toolkit. When presented selectively, it can lead you to invest based on numbers that don’t reflect what most franchisees actually experience.

The FTC doesn’t mandate how franchisors structure their Item 19, only that the data be truthful and have a reasonable basis. That latitude creates room for presentations that are technically accurate but practically misleading. Knowing what Item 19 is and how to interpret it is your starting point. This post goes deeper into the specific tactics that make bad numbers look good.

Seven Ways Franchisors Make Item 19 Look Better Than Reality

1. Cherry-Picking Top Performers

The most common tactic is reporting data only from the highest-performing units. A franchisor with 500 locations might base their Item 19 on the top 25% — and technically, the footnote disclosing this is buried on page 147 of the FDD.

How to spot it: Look for the sample size and any qualifying language. If the Item 19 says “based on 87 units” but the system has 400, ask why the other 313 units were excluded. Common justifications include “units open less than 24 months” or “units that operated for the full calendar year,” but even those filters can be selectively applied.

What the numbers should look like:

Metric	Misleading Presentation	Honest Presentation
Sample size	Top quartile only	All operating units
Revenue basis	Gross revenue	Revenue minus COGS
Time period	Best 12-month window	Full fiscal year
Unit types	Mix of company + franchise	Separated clearly

2. Using Averages Instead of Medians

Averages are mathematically vulnerable to outliers. If 9 franchisees earn $300,000 and 1 earns $2 million, the average is $470,000 — a number that none of the 9 typical owners actually hit. The median would be $300,000, which represents reality far better.

How to spot it: If the Item 19 reports only averages with no median, quartile breakdown, or distribution chart, treat the numbers with skepticism. A franchisor confident in their data will show you the spread, not just the center.

This is exactly the kind of distortion you need to correct when building your own unit economics analysis. Starting from the franchisor’s headline number without understanding the distribution can lead to projections that are off by 30-50%.

3. Excluding Closed or Transferred Units

Survivorship bias is real in franchise data. If 40 units closed last year because they couldn’t generate enough revenue, and the Item 19 only includes units operating at year-end, the reported averages are artificially inflated by the absence of failures.

How to spot it: Cross-reference Item 19 data with Item 20, which tracks unit openings, closings, and transfers. If you see a high closure rate in Item 20 but rosy numbers in Item 19, the two sections are telling very different stories. The closures didn’t happen because those owners got bored — they happened because the economics didn’t work.

4. Mixing Company-Owned and Franchise Data

Company-owned units often outperform franchise units because the franchisor has deeper resources, better locations, more experienced managers, and no royalty overhead eating into margins. When company and franchise data are blended without clear separation, the resulting averages skew higher than what a franchisee should expect.

How to spot it: Look for a clear label distinguishing company-owned from franchisee-owned results. If the data is combined, ask the franchisor for a separated version. If they won’t provide one, that tells you something.

5. Reporting Revenue Without Expenses

An Item 19 that shows $1.2 million in average gross revenue sounds impressive until you realize that labor, rent, COGS, royalties, and marketing eat up $1.15 million of it. Some franchisors deliberately stop at the top line because the bottom line isn’t attractive.

What to look for: The most useful Item 19 disclosures include:

• Gross revenue
• Cost of goods sold
• Labor costs
• Occupancy costs
• Royalty and advertising fees
• Owner’s discretionary earnings or EBITDA

If you’re only getting revenue, you’re getting less than half the picture. During your franchise validation calls, ask existing franchisees directly about their margins and take-home pay.

6. Using Limited or Favorable Time Periods

A franchisor might report data from a single quarter that happened to be their best, or from a 6-month window that captured a seasonal peak. Annual data is the minimum standard for meaningful analysis, and even then, a single year can be an outlier.

How to spot it: Check the footnotes for the reporting period. If it’s anything less than a full 12-month fiscal year, question why. If possible, request data from multiple years to identify trends. A system that performed well in 2024 but declined in 2025 looks very different from one that grew both years.

7. Presenting “Pro Forma” or Projected Data

Some franchisors present financial models rather than actual historical data. These projections are based on assumptions about occupancy rates, average ticket size, and cost structures that may not reflect real-world operations.

How to spot it: Language like “projected,” “estimated,” “pro forma,” or “based on our financial model” signals you’re looking at hypothetical numbers. While projections aren’t inherently dishonest, they should always be validated against actual franchisee results.

How to Build a Realistic Financial Picture

Once you’ve identified the presentation tactics in a specific Item 19, here’s how to reconstruct a more accurate view:

Step 1: Adjust the Sample

If the Item 19 excludes units, estimate the impact of including them. If 20% of units closed and the remaining units average $400,000, the true system average including failures is meaningfully lower.

Step 2: Convert Averages to Ranges

Ask franchisees during validation for their actual numbers. Build a simple spreadsheet with reported figures from 10-15 owners. You’ll quickly see the real distribution.

Step 3: Layer In All Costs

If the Item 19 only shows revenue, build a complete P&L using:

• COGS percentages from franchisee conversations
• Actual lease rates in your target market
• Published royalty and ad fund rates from the FDD
• Labor costs based on your state’s wage requirements

Step 4: Stress Test Your Model

Run scenarios at the 25th percentile, median, and 75th percentile of performance. If the business doesn’t work at the 25th percentile, you need to understand exactly what separates the bottom quarter from the middle — and whether those factors are within your control.

Red Flags That Should Stop You Cold

Some Item 19 presentations cross the line from “selectively positive” to genuinely problematic. Watch for:

• No footnotes or methodology disclosure. Honest data comes with clear documentation of how it was compiled.
• Verbal earnings claims from the sales team. If someone quotes you numbers that aren’t in the FDD, that’s a potential fraud indicator.
• Refusal to clarify data when asked. A franchisor that won’t explain their Item 19 methodology is a franchisor you shouldn’t trust with your capital.
• Data that contradicts franchisee feedback. If the Item 19 shows $150,000 in owner earnings but every franchisee you talk to says they’re barely breaking even, believe the franchisees.

The Right Way to Use Item 19

Item 19 is a starting point, not an answer. Used correctly, it frames your questions for validation, identifies the assumptions you need to test, and gives you a baseline for building your own financial model. Used incorrectly — taken at face value without examining the methodology — it becomes the most expensive piece of marketing material you’ll ever read.

Every number in Item 19 has a story behind it. Your job is to find out whether that story matches the one franchisees are living every day.