Damodaran Online (NYU Stern) adds Valuation Models, Financials, Interest Rates, Videos, and Blogs coverage that r/SecurityAnalysis — Letters Wiki skips.
VOL. XCIV, NO. 247
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Friday, October 31, 2025
Tool Comparison
Damodaran Online (NYU Stern) vs r/SecurityAnalysis — Letters Wiki comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
r/SecurityAnalysis — Letters Wiki includes Forums, Playbooks & Case Studies, and Newsletters categories that Damodaran Online (NYU Stern) omits.
In depth comparison
Damodaran Online (NYU Stern)
pages.stern.nyu.edu
Free academic resource curated by Professor Aswath Damodaran (NYU Stern). It hosts annually updated valuation and corporate-finance datasets, Excel models, webcasts, and online classes. Most datasets are refreshed every January, with country risk premiums also updated mid-year. Everything is openly accessible, with Excel downloads and archived historical data available.
Platforms
Pricing
Quick highlights
- Annual data library covering corporate-finance and valuation metrics, with the latest update in January and mid-year updates for country risk premiums.
- Downloadable Excel spreadsheets with datasets such as historical returns, industry betas, valuation multiples, cost of capital estimates, and country risk premiums.
- Long-run U.S. return series since 1928, including equities, small caps, Treasury bills, 10-year bonds, Baa corporates, real estate, and gold.
- Monthly updates for the U.S. implied equity risk premium, provided as a downloadable spreadsheet.
- Industry-level betas and valuation multiples with regional breakdowns (U.S., Europe, Japan, ANZ/Canada, Emerging Markets including China and India, and Global aggregates).
Community votes (overall)
r/SecurityAnalysis — Letters Wiki
reddit.com
Community‑maintained directory of investor/fund letters and reports, organized by year/quarter. Publicly viewable; edits limited to approved contributors. Links out to original PDFs/posts on managers’ sites. No data feeds, APIs, or exports—pure research reading list.
Platforms
Pricing
Quick highlights
- Chronological index of letters grouped by year and quarter (2016→present in the wiki).
- Publicly readable wiki page with edit permissions restricted to approved users/moderators.
- ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch).
- Direct outbound links to the letters on manager sites; useful for primary-source research.
Community votes (overall)
Where they differ
Damodaran Online (NYU Stern)
Distinct strengths include:
- Annual data library covering corporate-finance and valuation metrics, with the latest update in January and mid-year updates for country risk premiums.
- Downloadable Excel spreadsheets with datasets such as historical returns, industry betas, valuation multiples, cost of capital estimates, and country risk premiums.
- Long-run U.S. return series since 1928, including equities, small caps, Treasury bills, 10-year bonds, Baa corporates, real estate, and gold.
- Monthly updates for the U.S. implied equity risk premium, provided as a downloadable spreadsheet.
r/SecurityAnalysis — Letters Wiki
Distinct strengths include:
- Chronological index of letters grouped by year and quarter (2016→present in the wiki).
- Publicly readable wiki page with edit permissions restricted to approved users/moderators.
- ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch).
- Direct outbound links to the letters on manager sites; useful for primary-source research.
Feature-by-feature breakdown
| Attribute | Damodaran Online (NYU Stern) | r/SecurityAnalysis — Letters Wiki |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Education Unique: Valuation Models, Financials, Interest Rates, Videos, Blogs | Shared: Education Unique: Forums, Playbooks & Case Studies, Newsletters |
Asset types Supported asset classes and universes | Stocks, Bonds, Commodities, Real Estate | Other |
Experience levels Who each product is built for | Beginner, Intermediate, Advanced | Beginner, Intermediate, Advanced |
Platforms Where you can access the product | Web | Web |
Pricing High-level pricing models | Free | Free |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Yes | Not yet |
Editor pick Featured inside curated shortlists | Highlighted | Standard listing |
Frequently Asked Questions
Which workflows do Damodaran Online (NYU Stern) and r/SecurityAnalysis — Letters Wiki both support?
Both platforms cover Education workflows, so you can research those use cases in either tool before digging into the feature differences below.
Do Damodaran Online (NYU Stern) and r/SecurityAnalysis — Letters Wiki require subscriptions?
Both Damodaran Online (NYU Stern) and r/SecurityAnalysis — Letters Wiki keep freemium access with optional paid upgrades, so you can trial each platform before committing.
How can you access Damodaran Online (NYU Stern) and r/SecurityAnalysis — Letters Wiki?
Both Damodaran Online (NYU Stern) and r/SecurityAnalysis — Letters Wiki prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.
What unique strengths set the two platforms apart?
Damodaran Online (NYU Stern) differentiates itself with Annual data library covering corporate-finance and valuation metrics, with the latest update in January and mid-year updates for country risk premiums., Downloadable Excel spreadsheets with datasets such as historical returns, industry betas, valuation multiples, cost of capital estimates, and country risk premiums., and Long-run U.S. return series since 1928, including equities, small caps, Treasury bills, 10-year bonds, Baa corporates, real estate, and gold., whereas r/SecurityAnalysis — Letters Wiki stands out for Chronological index of letters grouped by year and quarter (2016→present in the wiki)., Publicly readable wiki page with edit permissions restricted to approved users/moderators., and ‘Others’ section pointing to classic collections (e.g., Austin Value, Nomad Partnership, Peter Lynch)..
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Curation & Accuracy
This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).
Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.