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Financial statements are the foundation of fundamental analysis. This guide shows you how to fetch income statements, balance sheets, and cash flow statements for any US public company using Python.

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Prerequisites

  • Python 3.7+
  • A Financial Datasets API key (sign up here)
  • The requests library (pip install requests)

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Step 1: Set Up Authentication

import requests

headers = {
    "X-API-KEY": "your_api_key_here"
}

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Step 2: Fetch Income Statements

Use the Income Statements API to get revenue, expenses, and net income data. 
ticker = "NVDA"
period = "annual"  # options: annual, quarterly, ttm
limit = 5          # number of periods to return

url = (
    f"https://api.financialdatasets.ai/financials/income-statements"
    f"?ticker={ticker}"
    f"&period={period}"
    f"&limit={limit}"
)

response = requests.get(url, headers=headers)
income_statements = response.json().get("income_statements")

for stmt in income_statements:
    print(f"{stmt['report_period']}: Revenue=${stmt['revenue']:,}, Net Income=${stmt['net_income']:,}")

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Step 3: Fetch Balance Sheets

Use the Balance Sheets API to get assets, liabilities, and equity data. 
url = (
    f"https://api.financialdatasets.ai/financials/balance-sheets"
    f"?ticker={ticker}"
    f"&period={period}"
    f"&limit={limit}"
)

response = requests.get(url, headers=headers)
balance_sheets = response.json().get("balance_sheets")

for stmt in balance_sheets:
    print(f"{stmt['report_period']}: Assets=${stmt['total_assets']:,}, Equity=${stmt['total_equity']:,}")

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Step 4: Fetch Cash Flow Statements

Use the Cash Flow Statements API to get operating, investing, and financing cash flows. 
url = (
    f"https://api.financialdatasets.ai/financials/cash-flow-statements"
    f"?ticker={ticker}"
    f"&period={period}"
    f"&limit={limit}"
)

response = requests.get(url, headers=headers)
cash_flow_statements = response.json().get("cash_flow_statements")

for stmt in cash_flow_statements:
    print(f"{stmt['report_period']}: Operating CF=${stmt['operating_cash_flow']:,}")

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Step 5: Get All Statements in One Call

Use the All Financial Statements API to fetch all three statement types in a single request. 
url = (
    f"https://api.financialdatasets.ai/financials"
    f"?ticker={ticker}"
    f"&period={period}"
    f"&limit={limit}"
)

response = requests.get(url, headers=headers)
data = response.json()

income_statements = data.get("income_statements")
balance_sheets = data.get("balance_sheets")
cash_flow_statements = data.get("cash_flow_statements")

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Filtering by Date Range

Use report_period parameters to get statements within a specific date range: 
url = (
    f"https://api.financialdatasets.ai/financials/income-statements"
    f"?ticker=NVDA"
    f"&period=quarterly"
    f"&limit=100"
    f"&report_period_gte=2023-01-01"
    f"&report_period_lte=2024-12-31"
)
Available date filters: report_period, report_period_lt, report_period_lte, report_period_gt, report_period_gte.

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Available Tickers

Fetch the list of tickers with financial statement coverage: 
GET https://api.financialdatasets.ai/financials/income-statements/tickers/
Coverage includes 17,000+ US tickers with 30+ years of history.

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Next Steps