JSON⚡ 5K uses📋 GPT-4, Gemini, Claude
DCF Valuator
Build DCF with sensitivity analysis.
DCF for [COMPANY] ([TICKER]). Rev $[REV], FCF $[FCF], Debt $[DEBT], Cash $[CASH], Shares [SHARES]. Growth Y1-3 [GROWTH_1_3]%, Y4-5 [GROWTH_4_5]%, terminal [TERMINAL_GROWTH]%. WACC [WACC]%, exit [EXIT_MULTIPLE]x. FCF projections (10yr), terminal value, EV, equity, price/share, sensitivity table. Current price: $[CURRENT_PRICE].
Variables
COMPANYTICKER$REV$FCF$DEBT$CASHSHARESGROWTH_1_3GROWTH_4_5TERMINAL_GROWTHWACCEXIT_MULTIPLE$CURRENT_PRICE
JSON⚡ 4K uses📋 GPT-4, Claude
Comparable Company Analysis
Value using public multiples.
Comps for [TARGET_COMPANY] ([TICKER]) in [INDUSTRY] vs peers [PEER_1], [PEER_2], [PEER_3], [PEER_4], [PEER_5], [PEER_6], [PEER_7], [PEER_8]. Peer metrics, multiples (P/E, EV/Rev, EV/EBITDA) with min/25th/median/75th/max. Target range, premium/discount, football field.
Variables
TARGET_COMPANYTICKERINDUSTRYPEER_1PEER_2PEER_3PEER_4PEER_5PEER_6PEER_7PEER_8
JSON⚡ 6K uses📋 GPT-4, Gemini
Pre-Money Valuation Estimator
Estimate startup pre-money valuation.
Pre-money for [STARTUP] in [INDUSTRY] at [STAGE] stage. MRR $[MRR], growth [GROWTH]% MoM, [USERS] users. Metrics: [KEY_METRICS]. Raising $[RAISE]. Comps: [COMP_DEALS]. 5 methods: Berkus, Scorecard, VC ([YEARS]yr, [MULTIPLE]x, [IRR]% IRR), Risk Factor, Revenue ([REV_MULTIPLE]x). Final range.
Variables
STARTUPINDUSTRYSTAGE$MRRGROWTHUSERSKEY_METRICS$RAISECOMP_DEALSYEARSMULTIPLEIRRREV_MULTIPLE
TEXT⚡ 2K uses📋 GPT-4
LBO Modeler
Build leveraged buyout models.
LBO for [TARGET_COMPANY] ([TICKER]) at $[PURCHASE_PRICE] ([MULTIPLE]x). Financing: debt [DEBT_PCT]% ($[DEBT_AMOUNT]) at [DEBT_RATE]%, equity [EQUITY_PCT]%. Target: Rev $[REV], EBITDA $[EBITDA], debt cap $[DEBT_CAP]. Exit Y[YEAR] at [EXIT_MULTIPLE]x. Growth [GROWTH]%, margin +[MARGIN_IMPROVEMENT]pp/yr, capex [CAPEX]%, D&A [DA]%, tax [TAX]%. Sources/uses, debt schedule, CF, paydown, returns, sensitivity.
Variables
TARGET_COMPANYTICKER$PURCHASE_PRICEMULTIPLEDEBT_PCT$DEBT_AMOUNTDEBT_RATEEQUITY_PCT$REV$EBITDA$DEBT_CAPYEAREXIT_MULTIPLEGROWTHMARGIN_IMPROVEMENTCAPEXDATAX
JSON⚡ 3K uses📋 GPT-4, Gemini
Startup Valuation Scorecard
Bill Payne scorecard valuation.
Scorecard for [STARTUP] in [INDUSTRY] at [LOCATION] [STAGE] stage, raised $[RAISED]. Avg pre-money: $[AVG_PRE]. 7 factors: management (30%), opportunity (25%), product (15%), competition (10%), marketing (10%), investment need (5%), other (5%). Score each 0-200%.
Variables
STARTUPINDUSTRYLOCATIONSTAGE$RAISED$AVG_PRE
TEXT⚡ 3K uses📋 GPT-4
Liquidation Value Estimator
Estimate liquidation value of companies.
Liquidation value for [COMPANY] in [INDUSTRY]. Assets: cash (100%), AR ([AR_PCT]% recovery), inventory ([INV_PCT]%), PP&E ([PPE_PCT]%), intangibles ([INT_PCT]%). Liabilities: secured debt, unsecured, accrued expenses. Net liquidation value: $[LV]. vs going concern: $[GC].
Variables
COMPANYINDUSTRYAR_PCTINV_PCTPPE_PCTINT_PCT
JSON⚡ 3K uses📋 GPT-4, Claude
Sum-of-Parts Valuation
Value conglomerates by business unit.
Sum-of-parts for [CONGLOMERATE] with divisions [DIVISIONS]. Each: revenue, EBITDA, growth rate, peer multiple, implied value. Holding company discount: [DISCOUNT]%. Sum vs current market cap: undervalued/overvalued by [GAP]%. Output JSON with recommendation.
Variables
CONGLOMERATEDIVISIONSDISCOUNTTICKER