debt-tool

Debt sizing for commercial real estate uses stabilized NOI and purchase price to calculate maximum loan proceeds. The tool applies LTV and DSCR constraints to determine feasible debt levels across various lender types like agency, CMBS, and life companies.

DSCR stress testing for CRE debt applies debt-service coverage ratio constraints to in-place and stabilized NOI. This identifies feasible debt amounts and scenario outcomes, revealing whether the capital stack survives cash flow disruptions across various lender types.

Yes, you can compare agency, CMBS, and construction loan sizing within a single capital stack model. The tool generates a comparison grid evaluating LTV and DSCR constraints simultaneously across these lender types to output total proceeds and required equity.

Generating a debt comparison grid requires inputs including Purchase Price, Stabilized NOI, In-Place NOI, Asset Type, and Hold Period. These inputs automate the debt-structure modeling and DSCR testing to output capital stack summaries for CRE acquisitions.

The best way to calculate equity requirements for different commercial real estate loan types is to model the capital stack using LTV and DSCR constraints. Inputting the purchase price and stabilized NOI allows the tool to derive required equity across lender types.

Bridge debt is used in a CRE capital stack for transitional assets needing stabilization, while construction debt finances ground-up development or heavy renovation. The tool models both, applying specific DSCR and LTV constraints to compare proceeds and equity impacts for your hold period.