{"url":"/dataset/dcf-valuation-template","name":"DCF Valuation template","full_name":null,"description_markdown":"This is the DCF template provided by ValueInvesting.io, a high performing [value investing](https://valueinvesting.io/) platform. Within this template, users also have access to other models such as Dividend Discount Model and Earnings Power Value. The focus of ValueInvesting.io is to provide accurate and reliable [intrinsic value](https://valueinvesting.io/) for all stocks globally using valuation models, especially [DCF](https://valueinvesting.io/) and [WACC](https://valueinvesting.io/). Users have experience consistent return by following the valuation results recommended by ValueInvesting.io. Furthermore, users can also view and edit all model assumptions when exporting the model to Excel or Google Sheets. Those are the reason why they are listed in the number one position in the list of top 5 [best stock research websites](http://www.columbia.edu/~tmd2142/5-best-stock-research-websites.html) curated by students at Columbia University.","description_withheld":null,"homepage":"https://valueinvesting.io/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["DCF Valuation template"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}