Income Statement API

The Income Statement API returns annual and quarterly profit-and-loss data for over 60,000 publicly traded companies. Each response includes 40+ financial line items spanning the full income statement. from top-line revenue through cost of goods sold, gross profit, operating expenses, operating income, interest and tax provisions, all the way down to net income and earnings per share.

This is one of the most important endpoints in the ROIC.ai API. Income statement data is the foundation for earnings analysis, profitability screening, valuation modeling, and trend analysis. You can request up to 20+ years of annual data or 80+ quarters of historical results, filter by fiscal year or date range, and control sort order. All monetary values are returned in the company's reporting currency (USD for US-listed companies), with the currency field included in every response object.

The endpoint supports all standard company identifiers. ticker symbols like AAPL or MSFT, SEC CIK numbers, CUSIP codes, and ISIN codes. so you can integrate it directly into workflows that use any of these identifiers.

Parameters

Code Examples

curl "https://api.roic.ai/v2/fundamental/income-statement/AAPL?apikey=YOUR_API_KEY"

Response

[
  {
    "ticker": "AAPL",
    "date": "2025-09-30",
    "period": "annual",
    "period_label": "2025",
    "fiscal_year": "2025",
    "currency": "USD",
    "is_sales_revenue_turnover": 416161000000,
    "is_sales_and_services_revenues": 416161000000,
    "is_cogs": 220960000000,
    "is_cog_and_services_sold": 220960000000,
    "is_gross_profit": 195201000000,
    "is_operating_expn": 62151000000,
    "is_sg_and_a_expense": 27601000000,
    "is_operating_expenses_r_and_d": 34550000000,
    "is_oper_income": 133050000000,
    "is_nonop_income_loss": 321000000,
    "is_other_nonop_income_loss": 321000000,
    "is_pretax_income": 132729000000,
    "is_inc_tax_exp": 20719000000,
    "is_inc_bef_xo_item": 112010000000,
    "is_ni_including_minority_int_ratio": 112010000000,
    "is_net_income": 112010000000,
    "is_earn_for_common": 112010000000,
    "is_avg_num_sh_for_eps": 14948500000,
    "eps": 7.49305950429809,
    "eps_cont_ops": 7.49305950429809,
    "is_sh_for_diluted_eps": 15004697000,
    "diluted_eps": 7.464995794316939,
    "dil_eps_cont_ops": 7.464995794316939,
    "ebitda": 144748000000,
    "ebitda_margin": 34.78173110887373,
    "ebita": 133050000000,
    "ebit": 133050000000,
    "gross_margin": 46.90516410716045,
    "oper_margin": 31.970799762591884,
    "profit_margin": 26.91506412181824,
    "div_per_shr": 1.0316085225942402,
    "is_depr_exp": 11698000000
  }
]

Field Dictionary

Metadata

Use Cases

• Build DCF valuation models with historical revenue, operating income, and free cash flow projections based on income statement trends
• Track revenue growth across multiple quarters or years to identify accelerating or decelerating business momentum
• Screen stocks by profitability using gross margin, operating margin, and net margin calculated from income statement fields
• Analyze earnings quality by comparing net income to operating cash flow and identifying one-time items
• Compare competitors by pulling income statements for multiple companies in the same sector and benchmarking margins
• Power AI financial analysis by feeding structured income statement data into language models for automated earnings reports
• Build Google Sheets models using the format=excel parameter to import income statement data directly into spreadsheets
• Calculate key ratios like gross margin (gross_profit / revenue), operating margin (operating_income / revenue), and profit margin (net_income / revenue)

Related Endpoints

• Balance Sheet - Assets, liabilities, and shareholders' equity data
• Cash Flow Statement - Operating, investing, and financing cash flows
• Profitability Ratios - Pre-calculated ROE, ROA, margins, and payout ratios
• Valuation Multiples - P/E, EV/EBITDA, and other valuation metrics
• Per-Share Data - EPS, book value, revenue, and dividends per share