Installation
pip install jfinancePython 3.9 or later is required. pandas, numpy, requests and pytz are installed as
dependencies. Where curl_cffi is available, it is used instead.
No registration and no API key are required.
First steps
import jfinance as jf
t = jf.Ticker("7203.T") # Toyota Motor
t.info # company profile (dict)
t.financials # income statement, annual (DataFrame)
t.balance_sheet # balance sheet
t.cashflow # cash flow statement
t.quarterly_financials # quarterly (up to fiscal 2023)
t.major_holders # ownership breakdown
t.sec_filings # filingsReturn types are the same as in yfinance (DataFrame, dict, list).
Language
Company names and industries are returned in English by default. For Japanese:
import jfinance as jf
jf.config.locale.lang = "ja-JP"
jf.Ticker("7203.T").info["shortName"] # 'トヨタ自動車株式会社'Values with no English source — business descriptions, names of officers and shareholders, document titles, market segments — are returned in Japanese under either setting. No machine translation is applied.
Companies that have not registered an English name (about 23% of listed companies) are returned with their Japanese name even in English mode.
Multiple tickers
ts = jf.Tickers("7203.T 6758.T 9984.T")
ts.tickers["7203.T"].financialsNext
- Ticker symbols — ways to identify a company
- Ticker — the full list of attributes
- Coverage — how far back the data goes