Investment-grade financial modeling — DCF valuation, comparable-company analysis, 3-statement models, returns (IRR/MOIC/cap-rate), and investor data-room pac...
--- name: financial-analysis description: Investment-grade financial modeling — DCF valuation, comparable-company analysis, 3-statement models, returns (IRR/MOIC/cap-rate), and investor data-room packs. Use for capital raises, valuations, and any returns or valuation question. Work only from provided, public, or project-level figures. --- # Financial Analysis Institutional-grade analysis for raises, valuations, and investor materials. Work only from figures that are provided, public, or project-level — never assume confidential numbers; ask for them or state them as inputs. ## Capabilities ### 1. DCF Valuation - Project unlevered free cash flow (revenue → EBITDA → FCF) over 5–7 years from stated assumptions. - Discount at WACC — show the build (cost of equity via CAPM + after-tax cost of debt, weighted). - Terminal value via Gordon growth **and** exit-multiple; cross-check both. - Output: enterprise value, equity value, and a sensitivity table (WACC × growth/exit-multiple). ### 2. Comparable Company / Transaction Analysis - Identify 5–8 true comparables (sector, stage, geography). - Multiples: EV/Revenue, EV/EBITDA; for property/hospitality use cap-rate/yield and EV/key. - Apply to target; show implied valuation range and where the target sits (premium/discount + why). ### 3. 3-Statement Model - Linked IS → BS → CF. Verify the BS balances and cash ties out. Drivers explicit and editable; no hardcoded plugs. ### 4. Returns Analysis (investor-facing) - IRR, MOIC, cash-on-cash, payback — by scenario (base / bull / bear). - Property/hospitality: stabilised NOI, cap rate, DSCR, exit value, equity multiple. ### 5. Investor Data-Room Pack - Assemble: one-pager, model summary, returns table, risk register, use-of-funds, structure/terms. - Match the live deal terms exactly as provided. ## Output Rules - State every assumption; flag provided vs. estimated. - Always give a **range + sensitivity** — never single false-precision numbers. - Sanity-check against comparables and reality; flag anything that looks off. - Show the working so the numbers can be audited.
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