Interactive financial decision-making tools that transform complex analysis into clear, actionable insights. Run simulations, model scenarios, and validate decisions before deployment.
Professional-grade simulators and modeling engines
Interactive DCF and comparable analysis engine. Input assumptions, visualize sensitivity, and generate institutional-quality valuation outputs.
Model merger scenarios with real-time accretion/dilution analysis. Test different deal structures, synergy assumptions, and financing mixes.
Find the optimal capital structure using trade-off analysis. Model WACC curves, credit ratings, and financial flexibility constraints.
Build leveraged buyout models with flexible debt structures. Calculate sponsor returns, debt paydown schedules, and exit scenarios.
Every Decision Lab tool is built on production-grade Python infrastructure. Export your analyses as Jupyter notebooks, integrate with your existing workflows, or run custom extensions.
# DCF Valuation Engine from eq2cap import ValuationLab # Initialize with company data model = ValuationLab( ticker="AAPL", forecast_years=5 ) # Run sensitivity analysis results = model.dcf_sensitivity( wacc_range=[0.08, 0.12], growth_range=[0.02, 0.04] ) # Export to Excel results.to_excel("valuation.xlsx")
From analyst to boardroom, tools that scale with your needs
Accelerate deal analysis with integrated valuation and modeling tools. Generate pitch-ready outputs in minutes.
Model LBO scenarios, track portfolio company performance, and optimize exit strategies with precision.
Evaluate acquisition targets, model integration synergies, and present strategic rationale to leadership.
Create a free account to access the Valuation Lab and explore what institutional-grade analysis tools can do.