LSEG Data Library for Python: incomplete quarterly data (Financials)

AFVS

I get incomplete quarterly data (Financials - Balance Sheet and Ratios Key Metrics) for many European banks (this is NOT the case for US banks).

Take the following code as an example:

import lseg.data as ld

ld.open_session()

workspace_df = ld.get_history(universe=['BNPP.PA','BARC.L'],fields=['TR.TotalAssetsReported','TR.TotalEquity','TR.PretaxROAPercent', 'TR.F.Source', 'TR.F.PeriodEndDate'],start="2000-01-01",end="2050-01-01",parameters={'Period':'FQ0','FRQ':'FQ'})

As you can see, the values are missing for Q2 & Q4. -I know the data for those banks exists because I see it in the WS desktop app.-

Jirapongse

@AFVS

Thank you for reaching out to us.

I tested it on Workspace Excel with the following formula.

=@RDP.Data("BNPP.PA","TR.TotalAssetsReported.Date,TR.TotalAssetsReported,TR.TotalEquity","SDate=2023-01-01 EDate=2026-01-01 Period=FQ0 Frq=FQ CH=Fd RH=IN",B2)

According to the output, this could be a content question. Therefore, you need to contact the helpdesk team to verify the content.

This forum is dedicated to software developers using LSEG APIs. The moderators on this forum do not have deep expertise in every bit of content available through LSEG products, which is required to answer content questions such as this one.

The best resource for content questions is the Helpdesk support team, which can be reached by submitting queries through LSEG Support. The support team will either have the required content expertise ready available or can reach out to relevant content experts to get the answer for you.

You need to ask for the Excel formula, such as =RDP.Data, that can be used to retrieve the required data. Then, we can help you converting that formula to Python code.

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