| name | revenue-geographic-segmentation |
| description | Retrieve detailed revenue breakdown by geographic segment for public companies. Use when analyzing regional exposure, geographic concentration, international expansion, or currency risk assessment. |
Revenue Geographic Segmentation
Retrieve detailed revenue breakdown by geographic segment for public companies using the Octagon Claude plugin.
Prerequisites
Ensure the Octagon Claude plugin is installed and configured in Claude Code before invoking this skill.
Query Format
Retrieve detailed revenue by geographic segment for <TICKER>, for the annual period with a flat response structure.
MCP Call:
{
"server": "octagon-claude-plugin",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve detailed revenue by geographic segment for AAPL, for the annual period with a flat response structure"
}
}
Output Format
The agent returns a table with revenue by geographic segment across years:
| Fiscal Year | Americas Segment | Europe Segment | Greater China Segment | Japan Segment | Rest of Asia Pacific Segment |
|---|
| 2025 | $178,353.00M | $111,032.00M | $64,377.00M | $28,703.00M | $33,696.00M |
| 2024 | $167,045.00M | $101,328.00M | $66,952.00M | $25,052.00M | $30,658.00M |
| 2023 | $162,560.00M | $94,294.00M | $72,559.00M | $24,257.00M | $29,615.00M |
| 2022 | $169,658.00M | $95,118.00M | $74,200.00M | $25,977.00M | $29,375.00M |
| 2021 | $153,306.00M | $89,307.00M | $68,366.00M | $28,482.00M | $26,356.00M |
Data Source: octagon-financials-agent
Key Observations Pattern
After receiving data, generate observations:
- Regional concentration: Identify largest revenue regions
- Growth trends: Track which regions are growing fastest
- Currency exposure: Assess FX risk by region
- Emerging markets: Monitor developing region growth
- Historical evolution: Track geographic mix changes over time
Analysis Tips
Regional Share Calculation
Region Share = Region Revenue / Total Revenue × 100
Calculate for each region to understand geographic mix.
Geographic Concentration
- Americas >50% = US-centric
- Single region >60% = high concentration
- Well balanced = no region >40%
Growth Rate by Region
Region Growth = (Current Year - Prior Year) / Prior Year × 100
Identify fastest and slowest growing regions.
Currency Implications
Regional exposure implies currency risk:
- Americas: USD (base currency typically)
- Europe: EUR, GBP exposure
- Greater China: CNY exposure
- Japan: JPY exposure
- Rest of Asia Pacific: Mixed currencies
Geopolitical Risk
Consider regional risks:
- Trade tensions (US-China)
- Regulatory environment
- Economic cycles
- Political stability
Strategic Analysis
International Expansion
Track over time:
- Is international share growing?
- Which regions showing momentum?
- New market entries?
Market Penetration
Compare to:
- Regional GDP or population
- Addressable market size
- Competitor regional presence
Diversification Benefits
Balanced geographic mix provides:
- Currency hedging (natural)
- Economic cycle diversification
- Regulatory risk distribution
Segment Evolution
Long-term Trends
Observe over 10+ years:
- Americas: Typically stable, large base
- Europe: Steady growth
- Greater China: Rapid expansion then maturation
- Emerging Asia: High growth potential
Inflection Points
Note significant changes:
- New market entries
- Trade policy impacts
- Pandemic effects
- Currency devaluations
Follow-up Queries
Based on results, suggest deeper analysis:
- "What factors drove the Americas Segment's revenue growth from [YEAR1] to [YEAR2]?"
- "How has [COMPANY]'s product mix evolved across geographic segments?"
- "What percentage of total revenue does each geographic segment represent in [YEAR]?"
- "Compare [COMPANY]'s geographic revenue mix to [PEER1] and [PEER2]"
