Qualitative Valuation
- 386 installs
- 161 repo stars
- Updated July 18, 2026
- joellewis/finance_skills
qualitative-valuation is a finance_skills agent skill that assesses economic moats, competitive positioning, and management quality with evidence rubrics for developers scoping equity research workflows and valuation mod
About
qualitative-valuation is a wealth-management skill from joellewis/finance_skills applying the Morningstar five-source moat framework: network effects, switching costs, intangible assets, cost advantages, and efficient scale. It defines wide (20+ years), narrow (10+ years), and no-moat classifications backed by an evidence rubric requiring retention metrics, pricing power, and ROIC data—not narrative alone. Qualitative findings map to valuation input adjustments: wide-moat evidence reduces discount rate 0.5-1.0pp, governance red flags add 0.5-1.5pp, and ESG exposure triggers probability-weighted scenarios. Worked examples assess enterprise software switching costs and carbon-tax regulatory risk. Developers reach for qualitative-valuation when building equity research copilots, moat scoring features, or pre-model business quality assessments.
- Competitive moat analysis
- Management quality assessment
- Industry structure review
- Risk factor mapping
- Thesis-to-metrics bridge
Qualitative Valuation by the numbers
- 386 all-time installs (skills.sh)
- +16 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #283 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/joellewis/finance_skills --skill qualitative-valuationAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 386 |
|---|---|
| repo stars | ★ 161 |
| Last updated | July 18, 2026 |
| Repository | joellewis/finance_skills ↗ |
How do you assess economic moat durability?
Structure qualitative investment theses—moats, management, industry dynamics, and risk narratives—to scope models, data needs, and research workflows.
Who is it for?
Equity research and fintech developers building moat scoring, business quality assessment, or qualitative-to-quantitative valuation bridge features.
Skip if: Developers needing DCF spreadsheet math alone, which the separate quantitative-valuation skill in finance_skills handles without qualitative overlays.
When should I use this skill?
User asks about economic moats, competitive advantages, Porter's Five Forces, management quality, or whether a company's advantage is durable.
What you get
Moat width classification, evidence-backed competitive analysis, governance red-flag checklist, and calibrated discount rate or terminal value adjustments.
- Moat width assessment
- Evidence rubric scoring
- Discount rate calibration recommendations
By the numbers
- Uses Morningstar 5-source economic moat framework with 3 width classifications
- Maps qualitative findings to discount rate adjustments of 0.25-1.5pp ranges
- Part of finance_skills repository with 81 skills across 7 domain plugins
Files
Qualitative Valuation
Core Concepts
Economic Moats (Morningstar Framework)
An economic moat is a structural advantage that protects a company's profits from competition. Five sources:
1. Network Effects: the product becomes more valuable as more people use it (payment networks, marketplaces) 2. Switching Costs: customers face significant cost, effort, or risk in moving to a competitor (enterprise software, banking relationships) 3. Intangible Assets: brands, patents, licenses, or regulatory approvals competitors cannot replicate; brands must confer pricing power to qualify 4. Cost Advantages: structural cost advantages from process technology, scale, location, or unique resources 5. Efficient Scale: a market that supports only a few players, where new entry would drive returns below the cost of capital (utilities, pipelines, railroads)
Moat Width
- Wide moat (20+ years): multiple reinforcing moat sources, each backed by hard evidence
- Narrow moat (10+ years): at least one evidenced moat source with moderate durability
- No moat: commodity business with no structural advantage; competes on price
A moat claim is only as strong as its evidence. Do not award moat sources based on narrative — use the rubric below.
Evidence Rubric: What Qualifies a Qualitative Claim
Anchor every claim in observable results, with retention and realized pricing as the strongest evidence:
| Claim | Qualifying evidence | Disqualifying signs |
|---|---|---|
| Pricing power | Realized price increases at or above inflation with stable volumes and retention; gross margin held or expanded through input-cost cycles | Price increases followed by churn spikes; persistent discounting to hold share |
| Switching costs | Gross retention >90% (>95% for enterprise) or net revenue retention >100%; multi-year contracts; implementations measured in quarters; deep data/workflow integration | High churn; month-to-month terms; easy data export and low migration cost |
| Network effects | Unit economics measurably improve with scale (take rates, engagement, liquidity per user); winner-take-most share dynamics | User growth without any engagement, pricing, or cost benefit |
| Brand (intangible asset) | Sustained price premium over comparable products for years | Awareness without a premium; growth dependent on promotional spend |
| Cost advantage | Margins persistently above peers, traceable to scale, process, or resource access | One-off cost cuts; margin gap explained by product mix |
| Management quality | Multi-year ROIC > WACC; buybacks executed below subsequent intrinsic value; acquisitions that met stated return targets | Serial dilutive M&A; buybacks concentrated at price peaks; recurring guidance misses |
Mapping Findings to Valuation Inputs
Translate qualitative conclusions into explicit adjustments to discount rate, fade period, or terminal assumptions in quantitative valuation. These ranges are judgment calibrations, not formulas — document the specific evidence behind each adjustment:
| Finding | Calibrated adjustment |
|---|---|
| Wide-moat evidence (2+ reinforcing, retention-backed sources) | Discount rate -0.5 to -1.0pp, or terminal multiple +1-2 turns, or extend the above-WACC return fade to 15-20 years |
| Narrow moat (one evidenced source) | Fade above-WACC returns over ~10 years; no discount-rate change |
| No moat | Fade returns to WACC by terminal year; terminal growth at or below inflation |
| Confirmed pricing power | Hold or modestly expand forecast margins; resist mean-reverting them prematurely |
| Governance red flags (see checklist) | Discount rate +0.5 to +1.5pp, haircut management guidance, or walk away |
| Material unmitigated ESG/regulatory exposure | Discount rate +0.5 to +1.5pp, or (often more transparent) probability-weight an impaired-earnings scenario |
| Key-person or succession risk | Discount rate +0.25 to +0.75pp |
If combined adjustments exceed roughly 2pp on the discount rate in either direction, the qualitative overlay is driving the valuation — re-examine the base-case cash flow assumptions instead of stacking adjustments.
Qualitative Red Flags Checklist
Any single flag warrants deeper investigation before relying on a valuation model:
- Aggressive accounting: revenue recognition changes, newly capitalized expenses, non-GAAP adjustments that always exceed GAAP. Check: trend in the non-GAAP-to-GAAP gap over 3+ years.
- Related-party transactions: deals with insider-controlled entities that may not be at arm's length. Check: proxy statement and footnote disclosures.
- Excessive M&A: serial acquisitions that obscure weak organic growth and add integration risk. Check: organic growth disclosed vs reported growth.
- High management turnover: frequent CFO or auditor changes signal potential problems. Check: 8-K filings for departures and stated reasons.
- Divergent cash flow and earnings: net income growing while operating cash flow stagnates. Check: accruals (net income minus OCF) as a share of assets over time.
Worked Examples
Example 1: Moat Assessment — Enterprise Software Company
Given:
- Cloud-based ERP platform with 95% gross retention, 120% net revenue retention
- Average customer implementation takes 12-18 months
- Data integration with customer systems creates deep embedding
- No network effects; moderate brand value; costs in line with peers
Assess: Moat sources and width, using the evidence rubric
Solution:
1. Switching Costs — STRONG (qualifies): 95% gross retention and 120% net revenue retention clear the rubric thresholds, and 12-18 month implementations with deep data integration explain why. The 120% net retention also evidences realized pricing power: existing customers are paying more each year without offsetting churn. 2. Network Effects — ABSENT: an ERP system does not become more valuable to one customer because another adopts it. 3. Intangible Assets — DOES NOT QUALIFY: the brand is recognized but confers no measurable price premium over peers. 4. Cost Advantages — ABSENT: cost structure in line with competitors. 5. Efficient Scale — ABSENT: the market supports multiple competitors.
Assessment: Narrow-to-wide moat. One moat source, but with unusually strong retention evidence; durability 15-20+ years barring a technology shift. Valuation-input mapping: extend the above-WACC return fade toward 15-20 years and hold forecast margins, but skip the full wide-moat discount-rate reduction because there is no second reinforcing source.
Example 2: Governance and Regulatory Risk — Discount Rate Calibration
Given: Base cost of equity 9.0%. The company operates in a high-carbon industry with no transition plan; pending carbon-tax legislation could reduce EBIT by 15%. Governance is strong: independent board, aligned compensation, no red flags.
Calibrate: Adjusted cost of equity
Solution:
- Unmitigated regulatory/environmental exposure: +1.5pp (top of the +0.5 to +1.5pp range — exposure is material, unmitigated, and legislation is pending)
- Strong governance: -0.25pp partial offset (well-governed firms adapt better)
Adjusted cost of equity = 9.0% + 1.5% - 0.25% = 10.25%
Alternative (often more transparent): keep the 9% discount rate and probability-weight a scenario in which EBIT falls 15% when the carbon tax passes. Both approaches capture the same risk; do not apply both at once.
Common Pitfalls
- Narrative fallacy: a compelling story is not evidence — require the rubric's observable results before crediting a moat
- Confirmation bias: seeking information that supports a pre-existing thesis while dismissing contradictory evidence
- Moat erosion: technology disruption can destroy moats faster than historical patterns suggest (e.g., retail disrupted by e-commerce)
- Double-counting: adjusting the discount rate and the cash flows for the same risk overstates the impact
- Overweighting management charisma: a compelling CEO presentation does not equal good capital allocation — check the multi-year ROIC and M&A record
- Static analysis: moats, competitive positioning, and regulatory risks evolve — reassess periodically
Cross-References
- quantitative-valuation (wealth-management plugin, Layer 3): quantitative models that qualitative analysis informs and contextualizes
- financial-statements (wealth-management plugin, Layer 2): ROIC, margins, and cash flow patterns that validate qualitative assessments
- forward-risk (wealth-management plugin, Layer 1b): risk premium adjustments from ESG and business quality factors
- diversification (wealth-management plugin, Layer 4): qualitative sector/factor analysis informs diversification decisions
Related skills
Wind Mcp SkillGive their AI coding agent instant access to comprehensive Chinese and global equity, fund, bond, and macroeconomic data from Wind.77.6k74
Upgrade StripeSafely upgrade their Stripe API version and SDKs without introducing breaking changes.55.6k1.7k
Recipe Create Expense TrackerInstantly create a ready-to-use Google Sheets expense tracker with headers, sample data, and sharing permissions.24.4k30.2k
Backtesting FrameworksCreate realistic event-driven backtesters that simulate order execution, slippage, commissions, and position tracking before committing capital to a trading strategy.13.5k38.5k
Grimoire PolymarketQuery live Polymarket odds, search events, and manage conditional order flow directly from Claude or Cursor without leaving the IDE.11.9k6
CoinglassGive their AI coding agents real-time access to crypto derivatives market data such as funding rates, open interest, long/short ratios, liquidations, and futures OHLC h11.4k21How it compares
Pick qualitative-valuation over quantitative-valuation when you need moat evidence rubrics and governance checks before building DCF assumptions, not spreadsheet math alone.
FAQ
What moat framework does qualitative-valuation use?
qualitative-valuation applies the Morningstar five-source framework: network effects, switching costs, intangible assets, cost advantages, and efficient scale. Moat width is classified as wide (20+ years), narrow (10+ years), or no moat.
How does qualitative-valuation connect to DCF models?
qualitative-valuation maps findings to explicit valuation adjustments: wide-moat evidence reduces discount rate 0.5-1.0pp, governance red flags add 0.5-1.5pp, and no-moat businesses fade returns to WACC by terminal year.