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reuterspy is a Python package to retrieve data from reuters.com, which provides Balance sheet, Cash Flow, Income Statement and Key Metrics.
reuterspy allows the user to download both recent and historical data from all the financial products indexed at reuters.com
reuterspy seeks simple Python packages when it comes to financial data extraction in order to stop relying on public/private APIs, since reuterspy is FREE and has NO LIMITATIONS.
In order to get this package working you will need to install it via pip (with a Python3.5 version or higher) on the terminal by typing:
$ pip install reuterspy
An income statement is one of the three important financial statements used for reporting a company's financial performance over a specific accounting period, with the other two key statements being the balance sheet and the statement of cash flows.
Also known as the profit and loss statement or the statement of revenue and expense, the income statement primarily focuses on the company’s revenues and expenses during a particular period.
In the example presented below, the yearly income statement of an stock is retrieved.
from reuterspy import Reuters
reuters = Reuters()
ticker_list = ['NFLX.O']
df = reuters.get_income_statement(ticker_list)
print(df.head())
ticker financialReport year metric value
NFLX.O income_statement 2019 Revenue 20156.447000
NFLX.O income_statement 2018 Revenue 15794.341000
NFLX.O income_statement 2017 Revenue 11692.713000
NFLX.O income_statement 2016 Revenue 8830.669000
NFLX.O income_statement 2015 Revenue 6779.511000
A balance sheet is a financial statement that reports a company's assets, liabilities and shareholders' equity at a specific point in time, and provides a basis for computing rates of return and evaluating its capital structure. It is a financial statement that provides a snapshot of what a company owns and owes, as well as the amount invested by shareholders.
The balance sheet is used alongside other important financial statements such as the income statement and statement of cash flows in conducting fundamental analysis or calculating financial ratios.
In the example presented below, the yearly Balance Sheet of an stock is retrieved.
from reuterspy import Reuters
reuters = Reuters()
ticker_list = ['NFLX.O']
df = reuters.get_balance_sheet(ticker_list)
print(df.head())
ticker financialReport year metric value
NFLX.O balance_sheet 2019 Cash 3103.525000
NFLX.O balance_sheet 2018 Cash 2572.685000
NFLX.O balance_sheet 2016 Cash 1264.126000
NFLX.O balance_sheet 2015 Cash 1706.592000
NFLX.O balance_sheet 2019 Cash & Equivalents 1914.912000
Cash flow is the net amount of cash and cash-equivalents being transferred into and out of a business. At the most fundamental level, a company’s ability to create value for shareholders is determined by its ability to generate positive cash flows, or more specifically, maximize long-term free cash flow (FCF).
In the example presented below, the yearly Cash Flow of an stock is retrieved.
from reuterspy import Reuters
reuters = Reuters()
ticker_list = ['NFLX.O']
df = reuters.get_cash_flow(ticker_list)
print(df.head())
ticker financialReport year metric value
NFLX.O cash_flow 2019 Net Income/Starting Line 1866.916000
NFLX.O cash_flow 2018 Net Income/Starting Line 1211.242000
NFLX.O cash_flow 2017 Net Income/Starting Line 558.929000
NFLX.O cash_flow 2016 Net Income/Starting Line 186.678000
NFLX.O cash_flow 2015 Net Income/Starting Line 122.641000
In the example presented below, the key metrics of an stock is retrieved.
from reuterspy import Reuters
reuters = Reuters()
ticker_list = ['NFLX.O']
df = reuters.get_key_metrics(ticker_list)
print(df.head())
ticker metric value financialReport
NFLX.O Price closing or last bid 510.40 Price and Volume
NFLX.O 52 Week High 575.37 Price and Volume
NFLX.O 52 Week Low 290.25 Price and Volume
NFLX.O Pricing date 2021-01-08 Price and Volume
NFLX.O 10 Day Average Trading Volume 3.49 Price and Volume
This Python package has been made for research purposes in order to fit the needs that reuters.com does not cover, so this package works like an Application Programming Interface (API) of reuters.com developed in an altruistic way.
Conclude that this package is not related in any way with reuters.com or any dependant company, the only requirement specified by reuters.com in order to develop this package was "mention the source where data is retrieved from".
FAQs
Financial Data Extraction from Reuters.com with Python
We found that reuterspy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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