How to Download Historical Stock Data into Excel

Bringing historical stock data into Excel is a fundamental skill for any investor, analyst, or finance enthusiast looking to analyze trends, test strategies, or create custom reports. This article will guide you through several methods to download historical stock data directly into Excel, from quick manual downloads to powerful, automated solutions.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Manually Download Stock Data from Yahoo Finance

The most straightforward method for getting historical stock data is to download it as a CSV (Comma Separated Values) file from a trusted financial website like Yahoo Finance. This method is free, reliable, and gives you instant access to years of data.

Here’s how to do it step-by-step:

1. Go to Yahoo Finance: Open your web browser and navigate to https://finance.yahoo.com/.
2. Search for a Ticker: Use the search bar at the top to enter the stock ticker of the company you want to analyze. For example, type 'AAPL' for Apple Inc. and press Enter.
3. Access Historical Data: On the company’s summary page, click on the "Historical Data" tab. This tab is typically located below the main chart.
4. Set Your Parameters: You'll now see an interface to customize your data download.
5. Apply and Download: After setting your parameters, click the "Apply" button to update the data shown on the screen. Then, click the "Download" link right next to it.

Your browser will download a file named something like AAPL.csv. You can open this file directly in Excel. Once open, you’ll have a clean table with columns for Date, Open, High, Low, Close, Adjusted Close, and Volume.

Pros:

• Completely free and easy to use.
• Provides access to extensive historical data for a wide range of securities.
• The downloaded CSV is simple and well-formatted for immediate use.

Cons:

• It's a manual process that must be repeated for each stock and each time you need to update the data.
• The data is static - it won’t update automatically in your spreadsheet.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Use Excel's Built-in 'Stocks' Data Type and 'STOCKHISTORY' Function

If you have a Microsoft 365 subscription, Excel has a powerful built-in feature that can transform simple text into dynamic, refreshable stock data. This method involves two parts: the 'Stocks' data type for current information and the STOCKHISTORY function for historical data.

Using the 'Stocks' Data Type for Current Data

This feature is perfect for getting live or recent summary data directly into your sheet.

1. Type the ticker symbols of the companies you want to track into a column (e.g., MSFT, NVDA, TSLA).
2. Select the cells containing the tickers.
3. Go to the Data tab on the Excel ribbon.
4. In the "Data Types" group, click on Stocks.
5. Excel will convert the tickers into rich data types, showing the company name and a small building icon. A new icon will also appear to the right of your selection.
6. Click the Insert Data icon (the one with the plus sign) to open a dropdown menu of available data fields like "Price," "Market Cap," "52-week high," and more. Selecting a field will add a new column with that data for each of your selected tickers.

Using the STOCKHISTORY Function for Historical Data

To pull a full historical data series, the STOCKHISTORY function is your best friend. This function fetches historical price and volume data for a given stock and loads it directly into a dynamic array on your worksheet.

The basic syntax for the function is: =STOCKHISTORY(stock, start_date, [end_date], [interval], [headers], [properties...])

Let's break that down with an example. To get daily historical prices for Apple (AAPL) for the entire year 2023, you would type this formula into a blank cell: =STOCKHISTORY("AAPL", "2023-01-01", "2023-12-31", 0)

• "AAPL": The stock ticker.
• "2023-01-01": The start date. You can also reference a cell containing the date.
• "2023-12-31": The end date.
• 0: The interval. Use 0 for daily, 1 for weekly, or 2 for monthly data.

When you press Enter, Excel will automatically spill the results - Date and Close price - into the cells below and to the right of your formula. To add more columns like Open, High, and Low, you can modify the formula:

=STOCKHISTORY("AAPL", "2023-01-01", "2023-12-31", 0, TRUE, 0, 1, 2, 3)

Here, TRUE adds a header row, and the numbers 0, 1, 2, 3 correspond to Date, Open, High, and Low prices. (Close is included by default).

Pros:

• The data is dynamic and can be refreshed by going to Data > Refresh All.
• Fully integrated within Excel, no external websites or files needed.
• Ideal for building live dashboards and models.

Cons:

• Requires a Microsoft 365 subscription.
• The amount of historical data you can pull can sometimes be limited.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Automate Data Pulls with Power Query

For those who want a more robust, automated, and repeatable solution, Excel's Power Query is an incredibly powerful tool. Power Query allows you to connect directly to web sources (like Yahoo Finance) and set up a process to download and clean the data. Once set up, you can refresh it with a single click.

This method is a bit more technical as it involves creating a customizable link to pull the data, but it’s well worth the effort.

1. Construct the Data Source URL: First, you need a stable query URL. For now, simply go through the manual download process on Yahoo Finance described in the first method. When you click the "Download" link, right-click it instead and select 'Copy Link Address'. It will look something like this: https://query1.finance.yahoo.com/v7/finance/download/AAPL?period1=...
2. Launch Power Query: In Excel, go to the Data tab. Click Get Data > From Other Sources > From Web.
3. Enter the URL: In the pop-up window, paste the URL you copied from Yahoo Finance and click OK.
4. Transform the Data: A new window, the Power Query Editor, will open, showing a preview of the data. Power Query automatically detects the delimiter and headers. Here you can perform cleaning steps, like changing data types. For example, make sure the "Date" column is set to the 'Date' type and number columns like 'Open' and 'Close' are set to a decimal number type. You can do this by clicking the icon in the column header.
5. Load the Data into Excel: Once you're happy with the data format, click the Close & Load button in the top-left corner. The data will load into a new worksheet as a formatted Excel table.

The true power here is the refreshability. To update the data with the latest available information from Yahoo Finance, simply go to the Data tab and click Refresh All (or right-click the table and choose Refresh). Power Query will repeat all your steps automatically in the background and insert the new data.

For advanced use, you can go into the Power Query Editor and make the ticker symbol and date ranges dynamic by linking them to cells on your worksheet. This turns your Excel file into a template where you can input any ticker and get historical data on demand.

Pros:

• Fully automated process after initial setup.
• Can be customized and scaled to pull data for multiple stocks.
• The steps for cleaning and transforming data are saved and repeated perfectly every time.

Cons:

• Has a steeper learning curve than the other methods.
• Relies on the URL structure of the source website, which can occasionally change.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Other Resources for Stock Data

While the methods above cover most needs, here are a few other options worth knowing:

• Google Sheets: If you use Google Sheets, the GOOGLEFINANCE function is a powerful equivalent to Excel's STOCKHISTORY. It’s incredibly easy to use and a great reason some prefer Sheets for simple stock tracking.
• Paid Data Providers: For professional-grade, highly reliable data, platforms like Bloomberg Terminal or Refinitiv Eikon are the industry standard, but they come with a high price tag.
• APIs with Excel Add-ins: For a balance of power and cost, look at services like Alpha Vantage or IEX Cloud. They provide APIs for financial data, and many offer dedicated Excel add-ins that make it simple to pull vast amounts of data using custom functions.

Final Thoughts

Choosing the right method for downloading stock data into Excel depends entirely on your needs. For a one-off analysis, a manual CSV download is fast and simple. For dynamic dashboards and ongoing reports, Excel’s built-in 'Stocks' features and Power Query provide powerful, automated solutions that save countless hours.

While these Excel techniques are valuable, the process of connecting data sources, building reports, and keeping them updated can still cut into your strategy time. At https://www.graphed.com/register, we’ve built a tool to eliminate this friction entirely. Instead of struggling with formulas or web connections, you simply connect your data sources once and use plain English to build real-time dashboards and get answers instantly. We turn hours of a data analyst's work into a 30-second conversation, so you can focus on making decisions, not building reports.