8000 Missing diluted earnings-per-share from Financials.income_statement · Issue #792 · polygon-io/client-python · GitHub
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sporacle opened this issue Nov 25, 2024 · 1 comment
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Missing diluted earnings-per-share from Financials.income_statement #792

sporacle opened this issue Nov 25, 2024 · 1 c 8000 omment
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@sporacle
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I am trying to calculate PE ratio for some tickers and to get the most accurate result I need to base the PE off of the diluted EPS. However the python client only gives me basic EPS which gets me close, but not perfectly accurate results. The REST API has a diluted EPS field so I assumed it would be present.

Are there any plans on adding support for diluted EPS in the Python client?
@sporacle sporacle added the bug Something isn't working label Nov 25, 2024
@Raptorly1 Raptorly1 mentioned this issue Dec 6, 2024
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@justinpolygon
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This is fixed now via #817 and is in the latest release https://github.com/polygon-io/client-python/releases/tag/v1.14.3.

You should be able to just run pip install -U polygon-api-client to get the latest update.

Here's an example for fetching diluted_earnings_per_share and net_income_loss:

from polygon import RESTClient

client = RESTClient()  # POLYGON_API_KEY environment variable is used

financials = []
for f in client.vx.list_stock_financials("AAPL", filing_date="2024-11-01"):
    financials.append(f)

    # get diluted_earnings_per_share
    print(f.financials.income_statement.diluted_earnings_per_share)

    # get net_income_loss
    print(f.financials.income_statement.net_income_loss)

Here's the output:

$ python3 examples/rest/stocks-stock_financials.py

DataPoint(
    label="Diluted Earnings Per Share",
    order=4300,
    unit="USD / shares",
    value=6.08,
    derived_from=None,
    formula=None,
    source=None,
    xpath=None,
)
DataPoint(
    label="Net Income/Loss",
    order=3200,
    unit="USD",
    value=93736000000.0,
    derived_from=None,
    formula=None,
    source=None,
    xpath=None,
)
DataPoint(
    label="Diluted Earnings Per Share",
    order=4300,
    unit="USD / shares",
    value=6.08,
    derived_from=None,
    formula=None,
    source=None,
    xpath=None,
)
DataPoint(
    label="Net Income/Loss",
    order=3200,
    unit="USD",
    value=93736000000.0,
    derived_from=None,
    formula=None,
    source=None,
    xpath=None,
)

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Add Diluted EPS(Earnings-Per-Share) Raptorly1/client-python
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@sporacle @justinpolygon
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