Datasets:
File size: 3,715 Bytes
d80b6eb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | FRANCHISEDEPTH FDD DATABASE: START HERE
Free sample (25 brands). Compiled 2026-11-01. 25 franchise brands.
Every figure comes from, or is calculated from, each brand's latest Franchise Disclosure
Document (FDD) as filed with a US state. Information only, not financial or legal advice.
1. UNZIP THE FILE
Right-click the zip and choose "Extract all" (Windows) or double-click it (Mac).
Inside you'll find:
- franchisedepth.xlsx Excel workbook: every table as a tab, plus a Compare tab
- brand_summary.csv one row per brand with the key figures
- franchisedepth.sqlite the full database, for SQL and AI tools
- csv/ parquet/ each table as its own file
- profiles/ one readable page per brand
- profiles_by_industry/ the same pages, grouped by industry
- AI_GUIDE.md how to use the data with ChatGPT, Claude, Gemini, Grok and others
- AI_INSTRUCTIONS.txt instructions to paste into any AI assistant
- AGENTS.md what every column means and how each figure is calculated
- example_queries.sql ready-made SQL questions
- mcp/ connector for Claude Desktop and other MCP apps
- LICENSE.txt what your licence allows
Complete database only: alternatives (similar brands), peer_ranks (how each brand ranks against
its peers) and value_ratios (revenue relative to investment and royalty).
2. LOOK AT IT IN EXCEL OR GOOGLE SHEETS
- Open franchisedepth.xlsx. Each tab is one table; brands is one row per brand.
- Compare tab: pick up to five brands from the drop-downs in row 2 (use the brand
codes shown in the brands tab, such as "subway"). The figures fill in below.
- Google Sheets: File > Import > Upload, and choose brand_summary.csv or
franchisedepth.xlsx.
3. ASK AN AI ASSISTANT
- Upload brand_summary.csv to ChatGPT, Claude, Gemini, Grok, Copilot or Perplexity.
- Paste the text of AI_INSTRUCTIONS.txt as your first message.
- Ask your question, for example: "Which food brands under $300,000 to open have the
lowest closure rate? Show a table with the FDD year for each."
- For a custom GPT, Gem or Project, and for which files to use, see AI_GUIDE.md.
4. CONNECT IT TO CLAUDE DESKTOP (OPTIONAL, LIVE SQL)
a. Install uv: https://docs.astral.sh/uv/
b. In Claude Desktop open Settings > Developer > Edit config, and add (with your own
folder path):
{"mcpServers": {"franchisedepth": {"command": "uv", "args": ["run", "--with", "mcp", "python",
"C:/path/to/mcp/franchisedepth_mcp.py", "C:/path/to/franchisedepth.sqlite"]}}}
c. Restart Claude Desktop. Ask: "Using franchisedepth, which quick-service brands have
the highest comparable revenue?" The connector is read-only.
5. USE SQL (OPTIONAL)
- Free app: DB Browser for SQLite (https://sqlitebrowser.org). Open franchisedepth.sqlite.
- Run the questions in example_queries.sql, or write your own. Join tables on brand_slug.
- SELECT * FROM column_docs; lists what every column means.
6. GOOD TO KNOW
- Blank means not disclosed, not zero.
- older_fdd = 1 marks brands whose latest FDD on file is from 2022 or earlier.
- Rows with an edition_note are not the brand's standard unit-franchise offer.
- Revenue is not profit.
7. UPDATES, LICENCE AND HELP
- Corrected files for this edition are free: download again from your Gumroad library
(gumroad.com/library) to get the latest.
- Your licence is shown on your receipt; LICENSE.txt has the terms.
- A damaged file or a question: message us through Gumroad.
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