Closed abdel-ely-ds closed 7 months ago
This is simply because those companies didn't go public as far as you are looking back. E.g. BRAC went public in 2022 so there is no data for this ticker before that date.
2023 is NaN for companies that haven't yet released their annual report for 2023.
This is simply because those companies didn't go public as far as you are looking back. E.g. BRAC went public in 2022 so there is no data for this ticker before that date.
2023 is NaN for companies that haven't yet released their annual report for 2023.
The majority of the companies went public before take the example
2023 is NaN for companies that haven't yet released their annual report for 2023 -> I'm talking about market cap
There is a rich history for each of these tickers, e.g. BOTJ what you are showing:
Please note that if you are using a Free plan you are limited to 5 years as described here: https://site.financialmodelingprep.com/developer/docs/pricing
Please see the definition of Market Cap here which requires financial statements to perform the calculation.
Sorry I showed the wrong ticker. I wanted to talked about BPYPN. It IPOed in 2020 but in my first screenshot, we have only market cap for 2020 and NANs for 2021 and 2022 and I don't understand why ?
Yes indeed i'm using the free version. I want to test it before commiting ! Thanks for your support
There seems to be no data for this company after 2020: https://site.financialmodelingprep.com/financial-statements/BPYPN
Please report this issue to FinancialModelingPrep so they can have a look: https://site.financialmodelingprep.com/contact
Let me know if there is anything else.
Let me know if there is anything else.
I've just contacted the data provider about the above issue. I'll continue testing the library and let you know thanks !
Hi, I'm testing the library and run the following code: ` companies = Toolkit(symbols, api_key=API_KEY, start_date="2005-12-31") ratios = companies.ratios.collect_all_ratios() ratios_bis = ratios.reset_index(names=['ticker', 'ratio']) ratios_bis = ratios_bis[ratios_bis.ratio.isin(cols)]
I got a lof of NaNs even for maket cap and don't understand why. is this normal ? or is it a bug ? Thank you ! `
The list of symbols: BOTJ BOWN BOWNR BOXL BPMC BPOP BPOPM BPRN BPTH BPTS BPYPM BPYPN BPYPO BPYPP BRAC BRACR BRAG BREA BREZ BREZR BREZW BRFH BRID BRKH BRKHW BRKL BRKR BRLS BRLSW BRLT BRNS BROG BROGW
The list of cols: Return on Assets Return on Equity Return on Invested Capital Return on Capital Employed Gross Margin Operating Margin Net Profit Margin Interest Coverage Ratio Market Cap Price-to-Book Price-to-Earnings Price-to-Earnings-Growth Price-to-Cash-Flow Price-to-Free-Cash-Flow Interest Coverage Ratio