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income-statement

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Income Statement

利润表

Retrieve real-time income statement data for public companies using Octagon MCP.
使用Octagon MCP获取上市公司的实时利润表数据。

Prerequisites

前提条件

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
确保你的AI agent（如Cursor、Claude Desktop、Windsurf等）中已配置Octagon MCP。安装说明请参阅references/mcp-setup.md。

Query Format

查询格式

Retrieve real-time income statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.
MCP Call:
json
{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve real-time income statement data for AAPL, limited to 5 records and filtered by period FY"
  }
}
Retrieve real-time income statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.
MCP调用：
json
{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve real-time income statement data for AAPL, limited to 5 records and filtered by period FY"
  }
}

Output Format

输出格式

The agent returns a table with absolute financial figures:
Fiscal YearRevenue (USD)Net Income (USD)EPS (Diluted)
2025$416,161,000,000$112,010,000,0007.46
2024$391,035,000,000$93,736,000,0006.08
2023$383,285,000,000$96,995,000,0006.13
2022$394,328,000,000$99,803,000,0006.11
2021$365,817,000,000$94,680,000,0005.61
Data Source: octagon-financials-agent
Agent会返回包含绝对财务数据的表格：
Fiscal YearRevenue (USD)Net Income (USD)EPS (Diluted)
2025$416,161,000,000$112,010,000,0007.46
2024$391,035,000,000$93,736,000,0006.08
2023$383,285,000,000$96,995,000,0006.13
2022$394,328,000,000$99,803,000,0006.11
2021$365,817,000,000$94,680,000,0005.61
数据源： octagon-financials-agent

Key Observations Pattern

关键观察模式

After receiving data, generate observations:
  1. Revenue trajectory: Calculate dollar and percentage changes year-over-year
  2. Net income trends: Track profitability in absolute terms
  3. EPS progression: Note earnings per share expansion or contraction
  4. Margin calculation: Compute Net Income / Revenue for net margin
  5. Scale context: Compare figures to industry peers
收到数据后，生成以下观察结果：
  1. Revenue趋势：计算同比金额和百分比变化
  2. Net Income趋势：跟踪绝对盈利情况
  3. EPS变化：记录每股收益的增长或收缩
  4. 利润率计算：计算Net Income / Revenue得出净利润率
  5. 规模对比：将数据与行业同行进行比较

Metrics Reference

指标参考

MetricDefinition
RevenueTotal sales/top-line income for the period
Net IncomeBottom-line profit after all expenses and taxes
EPS (Diluted)Earnings per share assuming all dilutive securities converted
指标定义
Revenue该期间的总销售额/营收
Net Income扣除所有费用和税款后的最终利润
EPS (Diluted)假设所有稀释性证券转换后的每股收益

Analysis Tips

分析技巧

Revenue Scale

Revenue规模

  • Use to compare company size across industry
  • Track absolute dollar growth, not just percentages
  • Larger base requires more absolute growth to maintain % growth
  • 用于跨行业比较公司规模
  • 跟踪绝对金额增长，而非仅百分比
  • 基数越大，维持百分比增长所需的绝对增长越多

Net Income Quality

Net Income质量

  • Compare Net Income to Operating Income for non-operating items
  • Check for one-time gains/losses distorting figures
  • Look for consistent growth trajectory
  • 将Net Income与营业利润比较，查看非营业项目影响
  • 检查是否存在扭曲数据的一次性收益/损失
  • 寻找持续的增长趋势

EPS Analysis

EPS分析

  • EPS can grow faster than Net Income due to buybacks
  • Compare to analyst estimates and guidance
  • Check shares outstanding for context
  • 由于股票回购，EPS的增长可能快于Net Income
  • 与分析师预期和业绩指引进行比较
  • 查看已发行股份数以获取背景信息

Margin Calculation

利润率计算

Calculate from the data:
Net Margin = Net Income / Revenue × 100
Example: $112B / $416B = 26.9% net margin
从数据中计算：
Net Margin = Net Income / Revenue × 100
示例：$112B / $416B = 26.9% 净利润率

Period Comparisons

期间比较

  • FY for annual strategic view
  • Q for seasonal patterns and recent trends
  • Compare same periods (Q1 vs Q1) for seasonality
  • FY用于年度战略视角
  • Q用于季节性模式和近期趋势
  • 比较同期（如Q1与Q1）以了解季节性影响

Follow-up Queries

后续查询

Based on results, suggest deeper analysis:
  • "What factors contributed to the revenue growth in [YEAR]?"
  • "How does [COMPANY]'s [YEAR] net margin compare to industry peers?"
  • "What are the key drivers of the EPS expansion over the [N]-year period?"
  • "Retrieve quarterly income statement data for [TICKER] to see seasonal patterns"
基于结果，建议进行更深入的分析：
  • "[年份]的Revenue增长由哪些因素驱动？"
  • "[公司] [年份]的净利润率与行业同行相比如何？"
  • "[N]年期间EPS增长的关键驱动因素是什么？"
  • "获取[TICKER]的季度利润表数据以查看季节性模式"