VOL. XCIV, NO. 247

★ BEST INVESTING TOOLS COMPARISON ★

Sunday, May 31, 2026

Tool Comparison · Sunday, May 31, 2026

Damodaran Online (NYU Stern) vs Invesst

Damodaran Online (NYU Stern) vs Invesst: which investing tool fits your workflow? Compare pricing, features, platforms, and verdict in seconds.

Quick verdict
Damodaran Online (NYU Stern) logo

Damodaran Online (NYU Stern)

Pick

pages.stern.nyu.edu

Best for financials, and interest rates

Pricing
Free
Platforms
Web
VS
Invesst logo

Invesst

invesst.ai

Best for screeners, and portfolio

Pricing
Free
Platforms
Web

Outbound links may include affiliate or sponsor codes.

Comparison snapshot

Attribute
Damodaran Online (NYU Stern)
Invesst
Starting price
Free
Free
Categories covered
6
5
Web app
Yes
Yes
Mobile app
No
No
API access
No
No
Regions
North America, Europe, APAC, LatAm, Middle East, Africa

Who should choose which?

Choose

Damodaran Online (NYU Stern) if…

  • You need annual data library covering corporate-finance and valuation metrics, with the latest update in january and mid-year updates for country risk premiums.
  • You need downloadable excel spreadsheets with datasets such as historical returns, industry betas, valuation multiples, cost of capital estimates, and country risk premiums.
  • You need long-run u.s. return series since 1928, including equities, small caps, treasury bills, 10-year bonds, baa corporates, real estate, and gold.
  • You need monthly updates for the u.s. implied equity risk premium, provided as a downloadable spreadsheet; the current public page shows april 1, 2026 implied erp snapshots.

Choose

Invesst if…

  • You need real-time data, not delayed quotes
  • You need ai-driven investment research with natural-language agents and data-rich search capabilities.
  • You need automated valuation models including dcf, along with predictive analytics and customizable screeners.
  • You need real-time market data for stocks and etfs, plus filtering tools across multiple metrics.

Consider alternatives if…

  • You want broader category coverage in one tool.
  • Neither pricing tier fits your budget.
See alternatives

Side-by-side feature breakdown

AttributeDamodaran Online (NYU Stern)Invesst
Asset types
StocksBondsCommoditiesReal Estate
StocksETFsCryptos
Experience
BeginnerIntermediateAdvanced
BeginnerIntermediateAdvanced
Regions
North AmericaEuropeAPACLatAmMiddle EastAfrica
Not specified
Data freshness
Not specified
Real-timeEnd of Day
API access
Not specifiedNot specified
Export formats
Excel
Not specified

Seen enough? Open either tool and try it now.

Pricing breakdown

Pricing details

Tool

Damodaran Online (NYU Stern)

Starting price

Free tierYes
Free trial

Plans & pricing

FreeFree

Tool

Invesst

Starting price

Free tierYes
Free trial

Plans & pricing

Start for FreeFree
Subscription (Monthly)Subscription
Subscription (Annual)Subscription

Coverage overlap

Shared categories1

Categories where both tools offer overlapping coverage.

Damodaran Online (NYU Stern) strengths5

Categories covered by Damodaran Online (NYU Stern) only.

Invesst strengths4

Categories covered by Invesst only.

Community category leaders

Vote sentiment comparison

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Still deciding? Get hands-on with both — most plans offer a free tier or trial.

Frequently Asked Questions

What's the difference between Damodaran Online (NYU Stern) and Invesst?

Damodaran Online (NYU Stern) focuses on Valuation Models, Financials, and Interest Rates while Invesst specializes in Screeners, Valuation Models, and Portfolio. They overlap in 1 categories, so choose based on your preferred workflow and pricing.

How much do Damodaran Online (NYU Stern) and Invesst cost?

Good news—both Damodaran Online (NYU Stern) and Invesst offer free plans. You can try each platform without commitment and only pay when you need premium features.

Should I choose Damodaran Online (NYU Stern) or Invesst?

Choose Damodaran Online (NYU Stern) if you need Annual data library covering corporate-finance and valuation metrics, with the latest update in January and mid-year updates for country risk premiums., and Downloadable Excel spreadsheets with datasets such as historical returns, industry betas, valuation multiples, cost of capital estimates, and country risk premiums.. Go with Invesst if AI-driven investment research with natural-language agents and data-rich search capabilities., and Automated valuation models including DCF, along with predictive analytics and customizable screeners. better fits how you invest.

What asset classes do Damodaran Online (NYU Stern) and Invesst cover?

Both cover Stocks. Damodaran Online (NYU Stern) also includes Bonds, Commodities, and Real Estate. Invesst adds coverage for ETFs, and Cryptos.

Does Damodaran Online (NYU Stern) or Invesst have real-time data?

Invesst offers real-time data feeds, which is essential for active traders. Damodaran Online (NYU Stern) uses delayed or end-of-day data, which works fine for longer-term investors who don't need up-to-the-second quotes.

Can I export data from Damodaran Online (NYU Stern) and Invesst?

Damodaran Online (NYU Stern) supports data exports to Excel. Invesst has more limited export options.

Which has a better stock screener—Damodaran Online (NYU Stern) or Invesst?

Invesst includes a stock screener for finding investment ideas. Damodaran Online (NYU Stern) focuses on other analytical tools.

Can I track my portfolio with Damodaran Online (NYU Stern) or Invesst?

Invesst offers portfolio tracking features. Damodaran Online (NYU Stern) is more focused on research and analysis.

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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.