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fsi-fa-cmd-dcf
Build a DCF valuation model with comps-informed terminal multiples — usage: /dcf [company name or ticker]
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Build a DCF valuation model with comps-informed terminal multiples — usage: /dcf [company name or ticker]
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker".
View or update the catalyst calendar — usage: /catalysts [timeframe, e.g. 'next 2 weeks']
Build a pre-earnings preview with scenarios — usage: /earnings-preview [company ticker]
Analyze quarterly earnings and create an earnings update report — usage: /earnings [company name or ticker] [quarter, e.g. Q3 2024]
Create an initiating coverage report — usage: /initiate [company ticker]
| name | fsi-fa-cmd-dcf |
| description | Build a DCF valuation model with comps-informed terminal multiples — usage: /dcf [company name or ticker] |
| user-invocable | true |
| metadata | {} |
Build an institutional-quality DCF model that uses comparable company analysis to inform valuation ranges.
If a company name or ticker is provided, use it. Otherwise ask:
First, load the comps-analysis skill to build trading comps:
Use skill: "comps-analysis" to:
Key outputs to capture from comps:
Load the dcf-model skill to construct the valuation:
Use skill: "dcf-model" to:
Use comps to inform DCF assumptions:
| Comps Output | DCF Input |
|---|---|
| Peer median EV/EBITDA | Terminal exit multiple range |
| Peer 25th-75th EV/EBITDA | Sensitivity analysis range |
| Peer median growth rate | Benchmark for revenue assumptions |
| Peer median EBITDA margin | Target margin in terminal year |
| Peer median P/E | Cross-check implied P/E from DCF |
After DCF is complete, validate:
Provide:
VALUATION SUMMARY: [Company] ([Ticker])
Comparable Companies Analysis:
- Peer Group: [List of 4-6 comps]
- Median EV/EBITDA: 12.5x (range: 10.2x - 15.8x)
- Median EV/Revenue: 3.2x (range: 2.1x - 4.5x)
DCF Valuation (Base Case):
- Implied Share Price: $XX.XX
- Current Price: $YY.YY
- Implied Upside: +XX%
Valuation Cross-Check:
- DCF Implied EV/EBITDA: 13.2x (vs peer median 12.5x)
- DCF Implied P/E: 22.4x (vs peer median 20.1x)
- Terminal Value: 62% of EV (within normal range)
Key Assumptions:
- Revenue CAGR: X% (vs peer median X%)
- Terminal EBITDA Margin: X% (vs peer median X%)
- WACC: X.X%
- Terminal Growth: X.X%