10 Buy-Side Due Diligence Agents for Claude

FinModelsLab buy-side due diligence kit with 10 Claude Code agents and the actual Excel Overview sheet. The fictional case shows $2.09 million buyer-adjusted EBITDA and $9.96 million seller proceeds.
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FinModelsLab buy-side due diligence kit with 10 Claude Code agents and the actual Excel Overview sheet. The fictional case shows $2.09 million buyer-adjusted EBITDA and $9.96 million seller proceeds.
Actual Excel Working Capital sheet for the fictional Alder Field Services case, showing a $1.20 million normalized peg, $1.02 million closing NWC and a $180,000 negative price true-up.
Fully Editable
Instant Download
Professional Design
Pre-Built
No Expertise Is Needed
Description

Trace the seller's EBITDA claim to the evidence before negotiating a purchase price. This free buy-side due diligence kit is designed for buyers, CFOs, transaction advisers and investment analysts.

Ten Claude Code agent definitions guide the work from data-room intake and financial reconciliation through quality of earnings, customer concentration, costs, working capital, cash conversion, net debt and the enterprise-to-equity bridge. The final review brings together source-linked findings, buyer questions and a short investment committee memo.

The editable Excel separates reported EBITDA, seller proposals and the included buyer case. In the fictional Alder Field Services example, reported EBITDA of $2.00 million becomes $2.39 million under the seller's proposals and $2.09 million in the buyer case. An assumed 6.0x multiple gives enterprise value of $12.54 million and modeled seller proceeds of $9.96 million after net debt, the working-capital true-up and seller fees.

The pack includes all 10 Markdown agent files, the eight-sheet Excel workbook, an eight-page PDF playbook, fictional source CSVs, expected outputs, a Python calculation checker and setup instructions. Use the agent files in Claude Code, edit the workbook in Excel and run the checker with Python 3.

Created by Henry Sheykin for FinModelsLab.