Download Dividend Data Excel

Do you want to get started tracking dividends on Excel? Whether you're a beginner or an experienced investor, this guide will show you how to get stock dividend data onto your spreadsheet. We'll also provide a free template that you can use to get started right away!

Unfortunately, there is no easy free way to get dividend yield and payment data on your Excel spreadsheet. The most common method is to copy-paste data from a site like Yahoo Finance, but this tends to be inefficient because the dividend yield of stocks changes all the time with the price, and this approach limits your ability to analyze hundreds of stocks at once.

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A better way is to use an API and use code programmatically to get and update the data on your spreadsheet, but APIs are generally expensive, and you need a good level of coding knowledge to be able to retrieve the data in the way that you want.

The best alternative, which will be discussed in this article, is to use Wisesheets, an Excel and Google Sheets add-on that allows you to get the dividend yield and dividend payments for thousands of stocks in a simple function call.

Accessing the historical dividend yield of particular stocks is not much different. You can access the historical dividend yield annually when the financial statements were released by using =WISE("AAPL", "dividend yield", year) for annual data or =WISE("AAPL", "dividend yield", year, "quarter") for quarterly data.

This will allow you to see all the dividends paid by Coca Cola including the date, ex-date, dividend payment, and declaration date going back all the way to 1985. From here, you can make any calculations you'd like, such as calculating the dividend payment growth at different time periods, and you can even graph this data to visualize the dividend payment trajectory.

This template provides you with important information such as the current dividend yield of a stock, the expected dividend payment from the company as well as the dividend payment growth in the last 5 years.

With Wisesheets, you can screen find all this information using the add-ons formulas, but more importantly, you can build your own screener to filter through stocks based on different criteria such as dividend yield, market cap, free cash flow, dividend growth, and more.

My passion led me to the stock market, but I quickly found myself spending more time gathering data than analyzing companies. That's when my team and I created Wisesheets, a tool designed to automate the stock data gathering process, with the ultimate goal of helping anyone quickly find good investment opportunities.

Today, I juggle improving Wisesheets and tending to my stock portfolio, which I like to think of as a garden of assets and dividends. My journey from a finance-loving teenager to a tech entrepreneur has been a thrilling ride, full of surprises and lessons.

Hi Guillermo, I have a time series with daily stock price data, I want to add the dividend declared or paid amount in the same daily time series (add a column which returns a zero in case no dividend was declared or paid and a dividend amount in case a dividend was declared or paid). I there a simple way to do that?

Hi Menno, the best way to do this is to use the WISEPRICE function like this =WISEPRICE("ticker", "dividend") and something like =WISEPRICE("ticker", "close", 30) and then create a pivot table with this data where you can perform these calculations ?

My forward 12-month investment income (F12MII) is a single number that represents how much I earn annually from dividend stocks, my rental property, interest on cash, and real estate crowdfunding.

Yahoo Finance My Portfolios is a free functionality that allows you to track the stocks in your portfolio, the number of shares you own, and the cost basis for each holding. You can manually input the data tax lot by tax lot, or just copy the total shares and cost basis from your regular brokerage.

Seeking Alpha, The Motley Fool and some others have similar free portfolio tracking portfolio tools. Experiment to see what works for you. If you only used one online broker, you should be able to create a sufficient dataset for export within your account.

In my master spreadsheet, I have a tab called Raw, for raw data. I paste it there. The first time you paste the data, capture the field headings too. But after that, you only need the stock symbols and data.

The Schedule tab is where I combine all of the dividend data that comes from the Raw data tab, which was retrieved from Yahoo Finance. I first use the Input Data tab to clean up the Raw data, making it easier for the Schedule tab to digest.

I also add the dividend increase date from the previous year so I know when to expect the next increase for a company. The final two columns are Per Div (dividend amount per period), and # of Shares (linked to Input Data).

Inspired by other dividend bloggers, I started to track dividend income received in 2015. This tab simply contains the dividends I receive each month plus other income streams. I still gather this manually, but the data is easily retrievable from my online brokers.

Get multiple stock's real-time data in a single function call. Instead of a single ticker, you can now enter multiple tickers in the =WISEPRICE function to get all the data you need a lot faster.

Get all the stock data parameters you want in a single function call. Instead of individual requesting parameters like "revenue" you can now enter a range of parameters in the =WISE function such as "A1:A:5" with those cells containing multiple data points like "net income", "eps" etc.

Analyze historical stock dividend data directly on your spreadsheet. Use the "dividend" parameter on the =WISEPRICE function to get all the dividends paid by a particular company along with the payment date, declaration date, etc.

Compare company stock data based on the latest year and quarter available. Forget about knowing the different company fiscal years and quarters use the "ly" and "lq" period types in the =WISE function to get the latest year and latest quarter of data for your analysis.

Get all the historical data you need across Excel and Google Sheets. You can now use Wisesheets on Excel and combine it with the STOCKHISTORY function to get all the stock data you need.

I am trying to add additional dividend information to a list of stocks that I have in a table in Excel. According to this site, I think that this should be possible. I want to use a formula so that it updates automatically over time and updates according to what that ticker symbol is on the respective row.

The data collection effort about investor attitudes that I have been conducting since 1989 has now resulted in a group of Stock Market Confidence Indexes produced by the Yale School of Management. These data are collected in collaboration with Fumiko Kon-Ya and Yoshiro Tsutsui of Japan. Some of our earlier results are also noteworthy: Results of Surveys about Stock Market Speculation 12/99.

Stock market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd ed., 2005] are available for download, U.S. Stock Markets 1871-Present and CAPE Ratio. This data set consists of monthly stock price, dividends, and earnings data and the consumer price index (to allow conversion to real values), all starting January 1871. The price, dividend, and earnings series are from the same sources as described in Chapter 26 of my earlier book (Market Volatility [Cambridge, MA: MIT Press, 1989]), although now I use monthly data, rather than annual data. Monthly dividend and earnings data are computed from the S&P four-quarter totals for the quarter since 1926, with linear interpolation to monthly figures. Dividend and earnings data before 1926 are from Cowles and associates (Common Stock Indexes, 2nd ed. [Bloomington, Ind.: Principia Press, 1939]), interpolated from annual data. Stock price data are monthly averages of daily closing prices through January 2000, the last month available as this book goes to press. The CPI-U (Consumer Price Index-All Urban Consumers) published by the U.S. Bureau of Labor Statistics begins in 1913; for years before 1913 1 spliced to the CPI Warren and Pearson's price index, by multiplying it by the ratio of the indexes in January 1913. December 1999 and January 2000 values for the CPI-Uare extrapolated. See George F. Warren and Frank A. Pearson, Gold and Prices (New York: John Wiley and Sons, 1935). Data are from their Table 1, pp. 1114.

As of September 2018, I now also include an alternative version of CAPE that is somewhat different. As documented in Bunn & Shiller (2014) and Jivraj and Shiller (2017), changes in corporate payout policy (i. e. share repurchases rather than dividends have now become a dominant approach in the United States for cash distribution to shareholders) may affect the level of the CAPE ratio through changing the growth rate of earnings per share. This subsequently may affect the average of the real earnings per share used in the CAPE ratio. A total return CAPE corrects for this bias through reinvesting dividends into the price index and appropriately scaling the earnings per share.

The U.S. Home Price Indices, which Karl Case and I originally developed, which were produced 1991-2002 by our firm Case Shiller Weiss, Inc. under the direction of Allan Weiss, are now produced by CoreLogic under the direction of Linda Ladner and David Stiff. Many of these price indices, including twenty cities, low- medium- and high- tier home price indices, condominium indices, and a U.S. national index, are now published as the S&P/CoreLogic/Case-Shiller Home Price Indices by Standard & Poor's, and are available to the public on Standard & Poor's web site. Eleven of these indices are traded at the Chicago Mercantile Exchange. Information on these futures markets can be found at

Historical housing market data used in my book, Irrational Exuberance [Princeton University Press 2000, Broadway Books 2001, 2nd edition, 2005], showing home prices since 1890 are available for download and updated monthly: US Home Prices 1890-Present.

An annual series is also available here, long term stock, bond, interest rate and consumption data since 1871 that I in collaboration with several colleagues collected to examine long term historical trends in the US market. This is Chapter 26 from my book Market Volatility, 1989, and revised and updated.

Karl Case and I have collected some data sets on prices of houses, which show for a sample of homes that sold twice between 1970 and 1986 in each of four cities Atlanta, Chicago, Dallas, and Oakland, the first sale price, second sale price, first sale date, and second sale date. These data are somewhat outdated, and of interest only to researchers. ff782bc1db