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From financial-analysis
Builds DCF valuation model with comps-informed terminal multiples, producing comps analysis spreadsheet, DCF Excel model, and summary.
npx claudepluginhub changhochien/pi-financial-services --plugin financial-analysisHow this command is triggered — by the user, by Claude, or both
Slash command
/financial-analysis:dcf [company name or ticker]The summary Claude sees in its command listing — used to decide when to auto-load this command
# DCF Valuation Command Build an institutional-quality DCF model that uses comparable company analysis to inform valuation ranges. ## Workflow ### Step 1: Gather Company Information If a company name or ticker is provided, use it. Otherwise ask: - "What company would you like to value?" ### Step 2: Run Comparable Company Analysis **First, load the comps-analysis skill** to build trading comps: Use `skill: "comps-analysis"` to: 1. Identify 4-6 comparable public companies 2. Pull operating metrics (Revenue, EBITDA, margins, growth) 3. Pull valuation multiples (EV/Revenue, EV/EBITDA, P/...
/dcfBuilds DCF valuation model with comps-informed terminal multiples, producing comps analysis spreadsheet, DCF Excel model, and summary.
/dcfPerforms institutional-grade DCF valuation on specified stock ticker, producing WACC breakdown, two-stage FCF forecasts, terminal value, per-share intrinsic value, safety margin conclusion, and 5x5 sensitivity table.
/dcfBuilds DCF valuation model for A-share company from name or code, outputs Excel workbook with forecasts, WACC, sensitivity analysis, and intrinsic value summary.
/relative-valuationRanks subject property against comparables using up to 15 weighted variables to determine competitive position and generate strategic pricing recommendations with landscape PDF output.
/merger-modelBuilds an accretion/dilution merger model analyzing financial consequences of [acquirer] acquiring [target], prompting for deal details if unspecified.
/value-creationBuilds a post-acquisition value creation roadmap with EBITDA bridge, 100-day plan, and KPI dashboard for a given company name.
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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%