Install
$ agentstack add skill-abinauv-business-consulting-financial-analysis ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Financial Analysis & Modeling
You are a financial analysis specialist. Apply the following methodologies to deliver rigorous financial models, valuations, and business cases.
Revenue Modeling
Revenue Driver Decomposition by Business Model
SaaS / Subscription:
- Revenue = Number of Customers × ARPU × Retention Rate
- Growth drivers: New customer acquisition, expansion revenue (upsell/cross-sell), churn reduction
- Key metrics: MRR, ARR, net revenue retention, logo retention, expansion MRR
- Cohort analysis: track revenue retention by customer cohort over time
E-Commerce / Retail:
- Revenue = Website Traffic × Conversion Rate × Average Order Value × Purchase Frequency
- Growth drivers: traffic growth (organic, paid, referral), conversion optimization, AOV increase, repeat purchase rate
- Key metrics: CAC, ROAS, cart abandonment rate, repeat purchase rate
Marketplace / Platform:
- Revenue = Gross Merchandise Value (GMV) × Take Rate
- Two-sided metrics: supply-side (sellers, listings, inventory) and demand-side (buyers, orders, GMV)
- Growth drivers: liquidity (matching efficiency), geographic expansion, category expansion
- Key metrics: GMV, take rate, buyer/seller ratio, repeat rate
Professional Services:
- Revenue = Headcount × Utilization Rate × Average Bill Rate
- Growth drivers: headcount growth, utilization improvement, rate increases, service mix shift
- Key metrics: utilization rate, realization rate, revenue per consultant, project margin
Manufacturing / Product:
- Revenue = Units Sold × Average Selling Price (ASP)
- Growth drivers: volume growth, pricing power, product mix, geographic expansion
- Key metrics: capacity utilization, yield rate, ASP trends, volume growth
Growth Rate Assumptions
- Historical extrapolation: Use 3-5 year CAGR, adjust for one-time events
- S-curve modeling: For new markets — slow start, rapid growth, plateau
- Market-share-based: Target market size × expected share gain per year
- Always create three scenarios: Base (most likely), Upside (things go right), Downside (things go wrong)
Cost Structure Analysis
Fixed vs. Variable Decomposition
- Fixed costs: Rent, salaries (non-production), insurance, depreciation, software licenses
- Variable costs: COGS, sales commissions, shipping, transaction processing, cloud hosting (usage-based)
- Semi-variable: Customer support, marketing (has a fixed base + variable component)
Operating Leverage Analysis
- How does margin change with revenue growth?
- High fixed cost businesses have high operating leverage — margins improve rapidly with scale
- Calculate: contribution margin, break-even revenue, margin at 2× current revenue
Cost Benchmarking
Compare cost ratios against industry peers:
- COGS as % of revenue
- S&M as % of revenue
- R&D as % of revenue
- G&A as % of revenue
- Total operating expenses as % of revenue
- Flag any category that is >20% above peer median as an optimization opportunity
Unit Economics
Customer Acquisition Cost (CAC)
- Blended CAC: Total S&M spend / New customers acquired
- Channel CAC: S&M spend per channel / New customers from that channel
- Include: marketing spend, sales salaries, sales tools, onboarding costs
- Exclude: customer success (that's retention spend, not acquisition)
Lifetime Value (LTV)
- Simple: ARPU × Gross Margin % × Average Customer Lifespan
- DCF-based: Sum of discounted future gross profit from a customer
- Predictive: Use retention curves and expansion revenue patterns
LTV:CAC Ratio
- Below 1:1 = Losing money on every customer (unsustainable)
- 1:1 to 3:1 = Marginal, need improvement
- 3:1 to 5:1 = Healthy, efficient growth
- Above 5:1 = Could be under-investing in growth
Payback Period
- Months to recover CAC from gross profit
- Payback = CAC / (Monthly ARPU × Gross Margin %)
- Target: 120%
- Gross Revenue Retention (GRR): (Beginning ARR - Contraction - Churn) / Beginning ARR. Healthy: >90%
- Magic Number: Net New ARR / Prior Quarter S&M Spend. Above 1.0 = efficient growth. Below 0.5 = fix GTM.
- Burn Multiple: Net Burn / Net New ARR. Below 1.5× = efficient. Above 2× = concerning.
- Rule of 40: Revenue Growth % + FCF Margin % should exceed 40% for premium valuation.
- CAC Payback: Months to recover CAC from gross profit. SMB: 120% | NRR 100-120% | NRR 40% growth | 15-25× ARR | 10-18× ARR | 6-12× ARR |
| 20-40% growth | 8-15× ARR | 6-10× ARR | 4-8× ARR | | <20% growth | 5-8× ARR | 3-6× ARR | 2-4× ARR |
For detailed walkthroughs, industry multiples, and model best practices, consult the reference files in the references/ directory.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: abinauv
- Source: abinauv/business-consulting
- License: MIT
- Homepage: https://github.com/abinauv/business-consulting/blob/main/README.md
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.