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Getting the Price-to-Sales ratio for each Dow stockĪfter the above code, we can get the Price / Sales ratios for each stock like below.Ĭombined_stats[combined_('Price/Sales') The P/E ratio for each stock can be obtained in a single line:Ĭombined_stats[combined_('Trailing P/E') Price-to-Earnings ratio for each Dow stock # combine all the stats valuation tables into a single data frameĬombined_stats = combined_stats.reset_index()Ĭombined_lumns = # Get data in the current column for each stock's valuation table We could also do this for a custom list of tickers as well. Now, let’s get the Price-to-Earnings and Price-to-Sales ratios for each stock in the Dow. Getting fundamentals stats for many stocks at once Then, we can get the Price/Sales ratio like below. Let’s use the object we pulled above, currently stored as val. We can get the P/S ratio, along with several other other metrics, using the same get_stats_valuation method. Running this method returns a data frame of the “Valuation Measures” on the statistics tab for a stock.įloat(val.iloc)Īnother popular metric is the P/S ratio. Next, let’s pull the P/E ratio from the dictionary that is returned.Ī company’s P/E ratio can also be extracted from the get_stats_valuation method. First, we can use the get_quote_table method, which will extract the data found on the summary page of a stock ( see here). There’s a couple ways to get the current P/E ratio for a company.

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How to get P/E (Price-to-Earnings) Ratios Next, we’ll dive into getting common company metrics, starting with P/E ratios.

We’ll also import the pandas package as we’ll be using that later to work with data frames. This will provide us with the functionality we need to scrape fundamentals data from Yahoo Finance. Now, let’s import the stock_info module from yahoo_fin. For more on yahoo_fin, including installation instructions, check out its full documentation here or my YouTube video tutorials here. We’ll be extracting fundamentals data from Yahoo Finance using the yahoo_fin package. In this post we will explore how to download fundamentals data with Python. How can we download fundamentals data with Python?

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