This Excel spreadsheet downloads multiple historical stock quotes into Excel. Just enter a series of ticker symbols, two dates, and click a button.
Update on 2nd May 2022: Fixed to work past some Yahoo changes.
Update on 14th April 2018: Yahoo changed a few things, so I’ve updated the downloader to work again
Update on 11th July 2017: You can now sort the historical data in ascending or descending date order
Update on 6th July 2017: I’ve uploaded a new version of the Yahoo spreadsheet that now works again. Download the new version at the bottom of this article. Comments welcome.
Update on 20th May 2017: Yahoo Finance have discontinued their free historical data API. As a workaround, I’ve posted a new version of the spreadsheet that uses Google Finance.
A previous spreadsheet let you download data for a single ticker symbol. Sometimes, however, data for just one company isn’t enough – you need to compare the relative performance of several companies. That’s when you need this free, user-friendly spreadsheet for bulk data download.
The spreadsheet is simple to use. Start by entering a start and end date, your desired quote frequency (d for daily, m for monthly, y for yearly), and your desired sorting (oldest data first or newest data first).
You can also specify if you want the data for each ticker written to separate CSV files. If so, specify an export folder for the files.
Then enter a list of ticker symbols in cell A11 and below (one tick per cell). After you click “Get Bulk Quotes”, the spreadsheet downloads the historical stock quotes into individual sheets. The sheet name is the ticker symbol.
The spreadsheet downloads the date, open price, high price, low price, closing price, volume and adjusted close price.
If you add or remove tickers , or refresh the data, the spreadsheet deletes the existing quote sheets, and inserts new sheets with the new data.
If you asked the spreadsheet to export the data, you’ll find a CSV file for each ticker in the folder you specified.
The file name is constructed from the ticker, start date, end date, and the download frequency.
If you misspell a ticker or leave a blank, the VBA is clever enough to skip over or ignore the error. You won’t get any nasty error messages.
You’ll also get a list of tickers for which no data was found. This list is dynamically updated by the VBA.
I’ve tested the spreadsheet by downloading historical quotes for 180 ticker symbols. Everything worked perfectly, with 180 new sheets added to the workbook, each filled with historical data.
You can also collate the open, high, low, close, adjusted close and volumes for every ticker on the same sheet. That is, you can collect all the open prices on one sheet (named “Open”) together with the corresponding dates, all the high prices on one sheet (named “High”) together with the corresponding dates etc. Simply check the “Collate” button.
The collate feature correctly reconciles tickers that return data with differing time series – dates and values are correctly associated.
The VBA is not protected; you can view and modify the code. Please let me know if you have any suggestions for improvements or additions to the functionality.