Damodaran Online (NYU Stern) adds Financials, Interest Rates, Education, Videos, and Blogs coverage that Invesst skips.
VOL. XCIV, NO. 247
★ FINANCIAL TOOLS & SERVICES DIRECTORY ★
PRICE: 5 CENTS
Tuesday, October 28, 2025
Tool Comparison
Damodaran Online (NYU Stern) vs Invesst comparison
Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.
Quick takeaways
Invesst includes Screeners, Portfolio, AI, and AI Chat categories that Damodaran Online (NYU Stern) omits.
Damodaran Online (NYU Stern) has a free tier, while Invesst requires a paid plan.
In depth comparison
Damodaran Online (NYU Stern)
pages.stern.nyu.edu
Editor’s pick Hands-on review
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
Web
Pricing
Free
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).
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Invesst
invesst.ai
Hands-on review
An AI-first research platform with screeners, automated DCF and valuation tools, and real-time market data. The site highlights “Universal Brokerage Integrations” for read-only portfolio insights. Currently in open beta with a “Start for Free” option, though full pricing is only described in the Terms as monthly or annual subscriptions. Security claims include SOC2, ISO 27001, and GDPR compliance, with a linked Trust Report (unverified).
Platforms
Web
Pricing
Subscription
Quick highlights
- AI-driven investment research with natural-language agents and data-rich search capabilities.
- Automated valuation models including DCF, along with predictive analytics and customizable screeners.
- Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics.
- Portfolio insights through read-only brokerage linking, marketed as “Universal Brokerage Integrations.”
- Public security claims include SOC2, ISO 27001, and GDPR, along with a published Trust Report.
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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.
Invesst
Distinct strengths include:
- AI-driven investment research with natural-language agents and data-rich search capabilities.
- Automated valuation models including DCF, along with predictive analytics and customizable screeners.
- Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics.
- Portfolio insights through read-only brokerage linking, marketed as “Universal Brokerage Integrations.”
Feature-by-feature breakdown
| Attribute | Damodaran Online (NYU Stern) | Invesst |
|---|---|---|
Categories Which research workflows each platform targets | Shared: Valuation Models Unique: Financials, Interest Rates, Education, Videos, Blogs | Shared: Valuation Models Unique: Screeners, Portfolio, AI, AI Chat |
Asset types Supported asset classes and universes | Stocks, Bonds, Commodities, Real Estate | Stocks, ETFs, Cryptos |
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 | Subscription |
Key features Core capabilities called out by each vendor | Unique
| Unique
|
Tested Verified by hands-on testing inside Find My Moat | Yes | Yes |
Editor pick Featured inside curated shortlists | Highlighted | Standard listing |
Frequently Asked Questions
Which workflows do Damodaran Online (NYU Stern) and Invesst both support?
Both platforms cover Valuation Models workflows, so you can research those use cases in either tool before digging into the feature differences below.
Which tool offers a free plan?
Damodaran Online (NYU Stern) offers a free entry point, while Invesst requires a paid subscription. Review the pricing table to see how the paid tiers compare.
How can you access Damodaran Online (NYU Stern) and Invesst?
Both Damodaran Online (NYU Stern) and Invesst 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 Invesst stands out for AI-driven investment research with natural-language agents and data-rich search capabilities., Automated valuation models including DCF, along with predictive analytics and customizable screeners., and Real-time market data for stocks and ETFs, plus filtering tools across multiple metrics..
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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.