SEC filings at your fingertips in seconds with SeekiNF
“SeekEdgar is the best among all the interfaces I have used to search information in SEC filings in terms of efficiency and flexibility.” — Dr. Qin Tan, Yale University (Currently at City University of Hong Kong)
“The flexibility and speed of both the search engine and customer service has made data collection easier and more thorough.” — Professor Mike Minnis, University of Chicago, USA
“The responsiveness and flexibility of SeekEdgar's data team has made projects possible... This is especially the case regarding the use of Form 4s...” — Professor Caleb Rawson, University of Arkansas, USA
“SeekEdgar makes data collection of SEC filings very easy and instantaneous.” — Professor Adrija Majumdar, Indian Institute of Management Ahmedabad, India
“An attentive and skillful team that not only listens to what you want but also proposes enhancements . . . ” — PhD Researcher van de Wal Nino, University of Antwerp, Belgium
Cost Effective Solutions for Research
Access to 20 million SEC Filings and PCAOB Reports, and 37 Million Documents, updated daily
Access to Financial and Non-financial information
Custom Data Collection
Examples with Videos
Search Results in Seconds — Anytime, Anywhere
Results by Phrase, Paragraph, Table, Footnote
Results by MD&A, Audit Report, SOX 404 Reports
Unsurpassed Text Mining and Analysis, and Data Extraction
SeekiNF(Search Engine to Extract Knowledge from Industry Filings) is a cloud-based technology that provides searchable interface within different levels of resolutions in SEC filings. SeekiNF allows users to search for financial and non-financial information based on user specified search strings from the various SEC filings and PCAOB Inspection Reports from 1994-2023 with daily updates. It has around 20 million SEC filings and 37 million documents in its database spread over 30 years. SeekiNF provides tremendous opportunities for gathering information related to accounting, finance, marketing, tax, law, etc. to conduct research and develop various risk assessment models including financial risk and fraud risk using financial and non-financial information.
In short, SeekiNF is a Complete System, Second to None with its own Database and Incredible Search Engine.
Four Dimensions of SeekiNF
Search: Search for specific issues/concerns in SEC Filings and PCAOB Inspection Reports in seconds (e.g., which companies are involved in litigation, patent infringement, wrongful termination, or mentioning "we may never be profitable" in their annual report, etc.)
Obtain: Obtain information/data not available from any source. Examples: executives bios and compensation, business address, fiscal year end, Tax ID, State of Incorporation, audit committee members, unique balance sheet items, etc.
Perform: Perform textual analyses of all 37 million documents in no time with built-in features (e.g., Word counter, Sentence counter, Proximity Counter with order, Word distribution for multiple years, six readability indices, Seven Risk Sentiment Metrics (RS): Feng Li RS, Financial Risk, Litigation Risk, Tax Risk, Systematic Risk, Idiosyncratic Risk, and Overall Risk), and Cosine and Vector Similarity Metrics (Vector Similarity Metric is a superior measure of similarity for documents as demonstrated by Dr. R. Srivastava in his paper in JETA 2023) for the same company or two different companies for almost all the filings.
Download: Download all the searched data in HTML and Excel Files on your system for your future reference and analyses.
CONGRATULATIONS to the authors of publications as listed here that
have used data from SeekEdgar. Click here for complete list.
2022. The Accounting Review.Managers' strategic use of concurrent disclosure: Evidence from 8-K filings and press releases., C Rawson, B Twedt, J Watkins.
2022. The Accounting Review. Policeman for the World: The Impact of Extraterritorial FCPA Enforcement on Foreign Investment and Internal Controls. , Hans B. Christensen; Mark G. Maffett, Thomas Rauter.
2022. The Accounting Review. Banking Market Consolidation and Tax Planning Intermediation: Evidence from Client Firm Tax Haven Operations, JB Kim, Y Lin, Y Mao, Z Wang.
2022. Management Science. The Opposing Effects of Complexity and Information Content on Uncertainty Dynamics: Evidence from 10-K Filings., JW Bae, F Belo, J Li, X Lin, X Zhao
2022. Management Science. . The Effect of Significant IPO Firms on Industry Incumbents: Evidence from Tax Planning., by James Chyz, Erin Henry, Thomas Omer, and Biyu Wu.