VOL. XCIV, NO. 247

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Sunday, October 19, 2025

View Damodaran — Cost of Capital by Sector (US)View YCharts Home My Collections

Head-to-head

Damodaran — Cost of Capital by Sector (US) vs YCharts comparison

Compare pricing, supported platforms, categories, and standout capabilities to decide which tool fits your workflow.

Quick takeaways

Damodaran — Cost of Capital by Sector (US) adds Valuation Models, and Education coverage that YCharts skips.

YCharts includes Screeners, Stock Comparison, ETF Comparison, Data Visualizations, Portfolio, Watchlist, Correlation, Risk Metrics (VaR/ES/Drawdown), Performance Attribution, Scenario & Stress Tests, News, Alerts, Data APIs, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Yield Curves, APIs & SDKs, Sheets / Excel Add-ins, and Broker Connectors categories that Damodaran — Cost of Capital by Sector (US) omits.

Damodaran — Cost of Capital by Sector (US) highlights: US industry table with: Industry, # of firms, Beta, Cost of Equity, E/(D+E), Std. Dev. in stock, Cost of Debt, Tax Rate, After‑tax Cost of Debt, D/(D+E), and WACC., Direct Excel download (wacc.xls) for offline analysis., and Annual ‘Data used as of January’ snapshot; site also links to global datasets hub..

YCharts is known for: Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

Damodaran — Cost of Capital by Sector (US) has a free tier, while YCharts requires a paid plan.

Damodaran — Cost of Capital by Sector (US)

pages.stern.nyu.edu

Editor’s pick Hands-on review

US industry-level WACC dataset compiled by Prof. Aswath Damodaran. Includes sector betas, cost of equity, cost of debt (pre/after-tax), capital structure weights, and industry counts. Updated annually (January snapshot). Best used as a sector baseline; company-specific WACC should adjust for firm capital structure, tax, and risk. See 'Cost of Capital Central' for methodology deep-dives.

Platforms

Web

Pricing

Free

Quick highlights

US industry table with: Industry, # of firms, Beta, Cost of Equity, E/(D+E), Std. Dev. in stock, Cost of Debt, Tax Rate, After‑tax Cost of Debt, D/(D+E), and WACC.
Direct Excel download (wacc.xls) for offline analysis.
Annual ‘Data used as of January’ snapshot; site also links to global datasets hub.
Methodology resources: lectures/notes on estimating beta, cost of equity, and WACC (bottom‑up betas, unlevering/re‑levering, ERP usage).

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YCharts

ycharts.com

Hands-on review

Advisor-focused research, portfolio analytics, and proposal platform. Lower tiers are more view-only, while add-ons unlock the Excel add-in and broader fund/SMA datasets. Intraday quotes are available on a short delay (about 90–120 seconds).

Platforms

Web

API

Pricing

Subscription

Quick highlights

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).
Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images.

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Overlap

Shared focus areas

2 overlaps

Mutual strengths include Financials, and Interest Rates.

Where they differ

Damodaran — Cost of Capital by Sector (US)

Distinct strengths include:

Valuation Models

Education

US industry table with: Industry, # of firms, Beta, Cost of Equity, E/(D+E), Std. Dev. in stock, Cost of Debt, Tax Rate, After‑tax Cost of Debt, D/(D+E), and WACC.
Direct Excel download (wacc.xls) for offline analysis.
Annual ‘Data used as of January’ snapshot; site also links to global datasets hub.
Methodology resources: lectures/notes on estimating beta, cost of equity, and WACC (bottom‑up betas, unlevering/re‑levering, ERP usage).

YCharts

Distinct strengths include:

Risk Metrics (VaR/ES/Drawdown)

Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks.
Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns.
Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators.
Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds).

Feature-by-feature breakdown

Attribute	Damodaran — Cost of Capital by Sector (US)	YCharts
Categories Which research workflows each platform targets	Shared: Financials, Interest Rates Unique: Valuation Models, Education	Shared: Financials, Interest Rates Unique: Screeners, Stock Comparison, ETF Comparison, Data Visualizations, Portfolio, Watchlist, Correlation, Risk Metrics (VaR/ES/Drawdown), Performance Attribution, Scenario & Stress Tests, News, Alerts, Data APIs, Scores, ETF Overview, ETF Performance, ETF Holdings, ETF Fundamentals, ETF Overlap, Analyst Forecasts, Short Interest, Insider Data, Inflation Rates, Unemployment Rates, GDP, Yield Curves, APIs & SDKs, Sheets / Excel Add-ins, Broker Connectors
Asset types Supported asset classes and universes	Stocks, Real Estate	Stocks, ETFs, Mutual Funds, Closed-End Funds
Experience levels Who each product is built for	Beginner, Intermediate, Advanced	Beginner, Intermediate, Advanced
Platforms Where you can access the product	Web	Web, API
Pricing High-level pricing models	Free	Subscription
Key features Core capabilities called out by each vendor	Unique US industry table with: Industry, # of firms, Beta, Cost of Equity, E/(D+E), Std. Dev. in stock, Cost of Debt, Tax Rate, After‑tax Cost of Debt, D/(D+E), and WACC. Direct Excel download (wacc.xls) for offline analysis. Annual ‘Data used as of January’ snapshot; site also links to global datasets hub. Methodology resources: lectures/notes on estimating beta, cost of equity, and WACC (bottom‑up betas, unlevering/re‑levering, ERP usage).	Unique Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks. Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns. Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators. Monitoring built in: dashboards, watchlists, alerts, and a live news feed (MT Newswires). Intraday quotes update on a short delay (~90–120 seconds). Excel & API: an add-on Excel add-in with dynamic formulas/templates, a REST API with API keys and official Python/R clients, and exports to CSV/Excel/PDF/images. Advisor ecosystem integrations including Addepar, Orion, Redtail, Schwab Advisor Center, iRebal, Pershing, LPL ClientWorks, Black Diamond, and VRGL.
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 — Cost of Capital by Sector (US) and YCharts both support?

Both platforms cover Financials, and Interest Rates 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 — Cost of Capital by Sector (US) offers a free entry point, while YCharts requires a paid subscription. Review the pricing table to see how the paid tiers compare.

How can you access Damodaran — Cost of Capital by Sector (US) and YCharts?

Both Damodaran — Cost of Capital by Sector (US) and YCharts 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 — Cost of Capital by Sector (US) differentiates itself with US industry table with: Industry, # of firms, Beta, Cost of Equity, E/(D+E), Std. Dev. in stock, Cost of Debt, Tax Rate, After‑tax Cost of Debt, D/(D+E), and WACC., Direct Excel download (wacc.xls) for offline analysis., and Annual ‘Data used as of January’ snapshot; site also links to global datasets hub., whereas YCharts stands out for Research workspace with Fundamental Charts, robust screeners, comp tables, scatter plots, scenario tools, and Quickflows to speed common tasks., Portfolio analytics for model and client accounts: optimizer and rebalancing (daily through annual), correlation matrices, attribution and transition analysis, drift/overlap checks, and exposure breakdowns., and Broad data coverage: U.S. and Canadian equities, ETFs and CEFs, plus mutual funds and SMAs as add-ons; 4,000+ fundamental metrics, S&P Global analyst estimates, MSCI ESG datasets, and a large set of macro indicators..

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