Data Sources
Dividendly's market and dividend data comes from two financial-data providers: Financial Modeling Prep (FMP), our primary source, and Tiingo, which supplies classification data and an independent cross-check. Rankings, badges and yields are calculated by Dividendly from that data.
Financial Modeling Prep (FMP)
FMP supplies most of the data on this site:
- dividend histories, declarations, ex-dividend, record and payment dates, and the calendar of upcoming dividends;
- price quotes, daily price change and market capitalization;
- daily price history, used for charts, the 200-day moving average and the 52-week range;
- stock-split history, used to restate dividends and prices across splits;
- trailing-twelve-month and annual fundamental ratios (payout ratio, price-to-book, earnings per share, P/E, return on equity);
- annual and quarterly financial statements (income statements, balance sheets and cash-flow statements), used to check payout ratios and to calculate free cash flow, debt and interest coverage;
- fund details for ETFs (expense ratio, assets under management, net asset value);
- company names, exchange listings, security types and company and fund descriptions;
- ETF holdings, RSI readings, company logos and part of our news feed.
Fundamental ratios are shown on a trailing-twelve-month basis and labeled with the end date of the latest reported quarter, or with the fiscal year where only annual figures exist (see our methodology).
Tiingo
Tiingo supplies its directory of listed securities (exchange, asset type and trading currency) and ADR flags, used to classify each security, the sector and industry recorded when a security is added to our coverage, a weekly cross-check of FMP's prices and dividend amounts, and the total-return comparison line and cross-check in the DRIP calculator. Tiingo data is displayed under a display license from Tiingo.
Curated lists and news
Membership of the Dividend Aristocrats and Dividend Kings lists, and the consecutive-increase counts shown with them, is maintained by hand from public sources such as published index membership lists and company announcements (see our methodology). News headlines come from FMP's news service and from public news feeds (CNBC, MarketWatch, Yahoo Finance and Google News); we show the headline and a short summary provided by the feed, credit the publisher and link to the original article.
SEC EDGAR
We use the U.S. Securities and Exchange Commission's public EDGAR records of company filings to classify securities: each registrant's industry (SIC) code and the forms it files, such as a 10-K or a 20-F annual report, or the forms specific to closed-end funds and business development companies. Dividendly does not collect insider-trading (Form 4) data, and none is shown on this site.
Refresh schedule
Prices, daily price history, the dividend calendar, yields and rankings are refreshed once a day; financial statements, security classifications and full dividend, split and fundamental histories once a week; descriptions and new listings once a month; and news headlines every hour. The full schedule is on our methodology page.
Data accuracy and delays
Prices are not real-time. They are refreshed once a day, before the U.S. market opens, and show the most recent price available at that refresh (generally the previous trading session's close); stock pages show the time of the quote. All data displayed on this site may be delayed, incomplete, or contain errors. Dividend declarations may not appear immediately after announcement. We make no representation as to the accuracy, completeness, or timeliness of any data. Always verify dividend amounts, ex-dates, and payment schedules directly with the issuing company or your broker before making any decisions.
No data endorsement
Neither data provider has any input into our rankings, lists or articles. Display of data from any provider does not constitute an endorsement of that provider or its services.
Corrections
If you notice a data error, please use our contact form with the subject “Data correction”, and include the ticker, the data point, and the correct value with a source. We investigate reported errors and correct confirmed ones on the affected page. Data freshness, open automated checks and the history of corrections are published on our data quality page.