Use openthebox for LBOs and Financial Modeling in Private Equity
Created by Jonas Moortgat, Modified on Wed, 11 Jun at 2:40 PM by Jonas Moortgat
openthebox empowers Private Equity professionals with structured and export-ready data to accelerate deal sourcing, due diligence, and financial modeling—especially for Leveraged Buyouts (LBOs) and similar investment strategies.
Whether you're screening new targets or building complex models, openthebox helps you make faster, data-driven decisions.
1. Speed Up Due Diligence
Need to quickly evaluate a potential acquisition?
Use openthebox to instantly access:
Detailed financials: Turnover, EBITDA, growth rates, margins
Ownership structure: administrators, shareholding data, subsidiaries
Market context: Sector filters and competitor mapping
Compliance & legal: Management history, Spiderweb uncovering networks between people and companies
Crucial for LBO modeling to determine debt capacity and risk exposure.
2. Plug Structured Data Into Your Models
Export clean financials and company details directly into Excel—or connect via API.
Use the data in:
LBO models: Debt schedules, IRR projections, cash flows
Operating models: Forecasting revenue, costs, working capital
Sensitivity tests: Model different leverage or exit assumptions
Save hours versus cleaning PDFs or scraping from national databases.
3. Integrate with Your Deal Pipeline
PE teams often use openthebox alongside Excel tracking sheets.
Enrich your pipeline with:
Real-time company data
Key financial indicators
Management and structural updates
Helps prioritize high-margin, cash-generating targets.
4. Compare and Benchmark with Ease
openthebox lets you:
Build peer groups using filters
Compare multiples (e.g., EV/EBITDA)
Analyze M&A activity and growth patterns
Supports pre-money valuations and bolt-on analysis.
5. Spot Red Flags Early
Use openthebox to detect issues like:
Administrator turnover
Negative evolution of financials
Insolvency signals
Stress-test your LBO assumptions under downside scenarios.
Example: LBO of a Mid-Sized SaaS Firm
Open the Financials tab and download the last X years of reports
Populate your model with EBITDA and margin history
Use the Advanced Search for competitor benchmarks
Check for legal notices or resignations under Publications
Adjust leverage assumptions based on risk flags
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